Noura Semary | Menoufia University (original) (raw)

Papers by Noura Semary

Research paper thumbnail of A Proposed HSV-Based Pseudo Coloring Scheme for Enhancing Medical Image

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Research paper thumbnail of Efficient Convolutional Neural Network-Based Keystroke Dynamics for Boosting User Authentication

Sensors, May 19, 2023

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Research paper thumbnail of Ishihara Electronic Color Blindness Test: An Evaluation Study

Ophthalmology research: an international journal, Jan 10, 2015

ABSTRACT Purpose: Evaluation of computer based color deficiency test. Materials and Methods: Two ... more ABSTRACT Purpose: Evaluation of computer based color deficiency test. Materials and Methods: Two hundred and sixty seven volunteers have been checked using both traditional Ishihara plates and a computer diagnosis program using LCD monitors. Results: The prevalence of red green color vision deficiency (RG-CVD) was 8.75% of male participants, no female participants were diagnosed, both in the paper based test, and in the computer based test. Computer based test gave 100% sensitivity and 98.78% specificity. Conclusion: Presenting the computer based color deficiency test software on LCD screen can be used for screening of color vision deficiency with nearly similar sensitivity and specificity to the Ishihara test with the advantage reducing the cost through decreasing required resources over time,and decreasing the time to analyze the results.

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Research paper thumbnail of An Efficient Semantic Image Retrieval based on Color and Texture Features and Data Mining Techniques

International journal of computer applications, Jan 17, 2017

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Research paper thumbnail of Semi-Automatic Semantic Based Natural Images Retrieval System

Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzi... more Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzing content of images rather than its metadata. CBIR system retrieves the image via low-level features such as color, texture and shape. In this work, we propose an improved CBIR system that retrieves images from a database based on the semantic features of them. The methodology that divide image and extracts low-level features from each region and label each one with the suitable concept (Sky, Sand, Water, trunks, foliage, rocks,..., and Grass). The results of the paper reflects the efficiency of the system for retrieving images with up to 98% recognition ratio.

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Research paper thumbnail of An evaluation of computer based color vision deficiency test: Egypt as a study case

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Research paper thumbnail of Image coloring Techniques and Applications

Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Miscellaneous... more Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Miscellaneous, grade: -, Minufiya University (Faculty of Computers and Information), language: English, comment: This thesis is a study for various applications which can base on image colorization. In this thesis, there are three new proposed systems. First,a new system for automatically coloring old movies has been proposed . Second, a new system for compressing color images based on HSV model has been proposed . The third proposed system is a new method for automatically color seeds selection using morphology. I would like to express my appreciation to my supervisor Prof. Mohiy Mohamed Hadhoud for his continuous support and encouragement during the research study of this thesis. , abstract: After the appearance of Image Colorization in the literature and the different developments of colorization techniques, it was necessary to search for new applications for this new field rather than coloring gray images. This thesis is a research and implementation study for various applications that can exploit from colorization techniques. Three proposed colorization applications are proposed in this thesis; Automatic Movie Colorization System, Color Image Encoding System Using HSI Space Embedding System and Color Image Encoding System Using Morphological Decolorization. The first application of image colorization attracts researchers in this field is Old Movies Colorizing. This thesis presents a new proposal for a system that works on coloring the old movies automatically. The proposed system is based on coloring the film shot by shot instead of frames as it is common in this area. This is done by splitting the film into shots and coloring the first frame in the shot (the key frame) . After that the motion vector between the frames of each shot is generated to transfer the colors from the key frame to the following frames in the shot using the motion vector. Color image encoding becomes an

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Research paper thumbnail of Keystroke dynamics based user authentication using Histogram Gradient Boosting

IJCI International Journal of Computers and Information, Sep 28, 2022

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Research paper thumbnail of Analysis of Substitutive Fragile Watermarking Techniques for 3D Model Authentication

Advances in intelligent systems and computing, Oct 2, 2019

Due to the importance of multimedia data and the urgent need to use it in many fields such as ind... more Due to the importance of multimedia data and the urgent need to use it in many fields such as industry, medicine and entertainment, protecting them becomes an important issue. Digital watermarking is considered an efficient solution for multimedia security as it preserves the original media content as it is. For 3D graphical models, 3D fragile watermarking aims to detect any attacks to the models and protect the copyright and the ownership of the models. In this paper, we present a comparative analysis between two substitutive 3D fragile watermarking algorithms. The first algorithm is based on adaptive watermark generation technique using Hamming code, while the other algorithm uses Chaos sequence for 3D models fragile watermarking in the spatial domain. The study uses different assessment measures to show the points of strength and weaknesses of both methods.

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Research paper thumbnail of An Efficient Color Image Encoding Scheme Based on Colorization

Advances in computational intelligence and robotics book series, 2014

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Research paper thumbnail of Fragile Watermarking Techniques for 3D Model Authentication: Review

Advances in intelligent systems and computing, Mar 17, 2019

The need for multimedia data in many fields such as industry, medicine, and entertainment has bec... more The need for multimedia data in many fields such as industry, medicine, and entertainment has become a common need nowadays. 3D graphics, as a type of multimedia, attracts the attention of many researchers. The spread of programs that are used to modify and duplicate this data easily leads to increase the necessity to develop a variety of watermark technologies for various protection purposes such as copyrights protection and authentication. In this study, we provide a review study of fragile watermarking techniques for 3D models over the last decade and clarify what are the criteria and requirements for design such systems. We briefly show the different types of 3D models representation and what are the most common kinds of attacks could be applied to them, and finally discuss the challenges encountered at designing such techniques.

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Research paper thumbnail of Efficient Convolutional Neural Network-Based Keystroke Dynamics for Boosting User Authentication

Sensors

The safeguarding of online services and prevention of unauthorized access by hackers rely heavily... more The safeguarding of online services and prevention of unauthorized access by hackers rely heavily on user authentication, which is considered a crucial aspect of security. Currently, multi-factor authentication is used by enterprises to enhance security by integrating multiple verification methods rather than relying on a single method of authentication, which is considered less secure. Keystroke dynamics is a behavioral characteristic used to evaluate an individual’s typing patterns to verify their legitimacy. This technique is preferred because the acquisition of such data is a simple process that does not require any additional user effort or equipment during the authentication process. This study proposes an optimized convolutional neural network that is designed to extract improved features by utilizing data synthesization and quantile transformation to maximize results. Additionally, an ensemble learning technique is used as the main algorithm for the training and testing phas...

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Research paper thumbnail of Fully automated black and white movies colorization system

International Conference on Informatics and Systems, Mar 28, 2010

ABSTRACT Since the human visual system is sensitive to colors rather than gray shades, we aim to ... more ABSTRACT Since the human visual system is sensitive to colors rather than gray shades, we aim to emphasize the appearance of black and white movies and recolor them to obtain near natural colored movies that look like their original colors. The goal of our research is to implement a powerful automatic coloring system that is suitable for coloring movies with high quality colors and in fast time as possible. Our proposed system based on colorizing the movie shot by shot rather than frame by frame, so that different techniques are presented like shot cut detection, motion estimation, similarity features between images and colorization. By this paper we have succeeded to propose and implement a complete automatic colorization system specified for movies and we nearly achieve our goals.

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Research paper thumbnail of Robust Copy–Move forgery revealing in digital images using polar coordinate system

Neurocomputing, 2017

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Research paper thumbnail of A blind fragile watermarking for 3D triangular model based on curvature features and chaos sequence

IJCI. International Journal of Computers and Information

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Research paper thumbnail of Semi-Automatic Semantic Based Natural Images Retrieval System

Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16, 2016

Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzi... more Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzing content of images rather than its metadata. CBIR system retrieves the image via low-level features such as color, texture and shape. In this work, we propose an improved CBIR system that retrieves images from a database based on the semantic features of them. The methodology that divide image and extracts low-level features from each region and label each one with the suitable concept (Sky, Sand, Water, trunks, foliage, rocks,..., and Grass). The results of the paper reflects the efficiency of the system for retrieving images with up to 98% recognition ratio.

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Research paper thumbnail of A comparative study of different approaches of primitive printed Arabic Optical Character Recognition

2015 11th International Computer Engineering Conference (ICENCO), 2015

This paper is a part of comprehensive research and development towards eventually enhanced AOCR (... more This paper is a part of comprehensive research and development towards eventually enhanced AOCR (Arabic Optical Character Recognition) accuracy. This paper presents a comparative study of four most reported as high primitive printed Arabic Character Recognition works (Hamdi et al. [1], Marwa et al. [2], Marwa et al. [3] and Andrey et al. [4]). The motivation was the lack of independent comparative study between recent algorithms for researchers to depend on. A new noise-free generated dataset of 7 font types is used for evaluation. The results shown that Marwa et al. [3] algorithm overcomes the others across all dataset tests.

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Research paper thumbnail of Primitive printed Arabic Optical Character Recognition using statistical features

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 2015

Due to the several forms of different Arabic font types, Arabic character recognition is still a ... more Due to the several forms of different Arabic font types, Arabic character recognition is still a challenge. Most literature works consider only one font per text what results in low recognition accuracy. This paper tends to enhance the accuracy of AOCR (Arabic Optical Character Recognition) by considering an automatic Optical Font Recognition (OFR) stage before going ahead with the traditional OCR stages. This has been achieved using SIFT (Scale Invariant Feature Transform) descriptors. First, a comparative study of four most recent algorithms of primitive OCR has been performed to evaluate the different features and classifiers utilized in their systems. Accordingly, a combining of statistical features have been proposed as well as selecting Random Forest Tree classifier for classification stage. The combination of the features are used to train the classifiers. As a result, each recognized text font is directed to a specific classifier tree. The proposed system was tested on a generated Primitive Arabic Characters Noise Free dataset (PAC-NF) containing 30000 samples. Experimental results achieved a promising character recognition accuracy of 99.8-100%.

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Research paper thumbnail of An evaluation of computer based color vision deficiency test: Egypt as a study case

2014 International Conference on Engineering and Technology (ICET), 2014

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Research paper thumbnail of A texture recognition coloring technique for natural gray images

2007 International Conference on Computer Engineering & Systems, 2007

Gray image coloring is utilized to increase the visual appeal of images such as old black and whi... more Gray image coloring is utilized to increase the visual appeal of images such as old black and white photos, movies or scientific illustrations. Most of authors working in coloring of gray scale images have used primitive methods for coloring which are both inaccurate and limited. In this paper we propose a new technique for computer coloring gray scale images. This

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Research paper thumbnail of A Proposed HSV-Based Pseudo Coloring Scheme for Enhancing Medical Image

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient Convolutional Neural Network-Based Keystroke Dynamics for Boosting User Authentication

Sensors, May 19, 2023

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Ishihara Electronic Color Blindness Test: An Evaluation Study

Ophthalmology research: an international journal, Jan 10, 2015

ABSTRACT Purpose: Evaluation of computer based color deficiency test. Materials and Methods: Two ... more ABSTRACT Purpose: Evaluation of computer based color deficiency test. Materials and Methods: Two hundred and sixty seven volunteers have been checked using both traditional Ishihara plates and a computer diagnosis program using LCD monitors. Results: The prevalence of red green color vision deficiency (RG-CVD) was 8.75% of male participants, no female participants were diagnosed, both in the paper based test, and in the computer based test. Computer based test gave 100% sensitivity and 98.78% specificity. Conclusion: Presenting the computer based color deficiency test software on LCD screen can be used for screening of color vision deficiency with nearly similar sensitivity and specificity to the Ishihara test with the advantage reducing the cost through decreasing required resources over time,and decreasing the time to analyze the results.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An Efficient Semantic Image Retrieval based on Color and Texture Features and Data Mining Techniques

International journal of computer applications, Jan 17, 2017

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Semi-Automatic Semantic Based Natural Images Retrieval System

Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzi... more Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzing content of images rather than its metadata. CBIR system retrieves the image via low-level features such as color, texture and shape. In this work, we propose an improved CBIR system that retrieves images from a database based on the semantic features of them. The methodology that divide image and extracts low-level features from each region and label each one with the suitable concept (Sky, Sand, Water, trunks, foliage, rocks,..., and Grass). The results of the paper reflects the efficiency of the system for retrieving images with up to 98% recognition ratio.

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Research paper thumbnail of An evaluation of computer based color vision deficiency test: Egypt as a study case

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Image coloring Techniques and Applications

Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Miscellaneous... more Doctoral Thesis / Dissertation from the year 2011 in the subject Computer Science - Miscellaneous, grade: -, Minufiya University (Faculty of Computers and Information), language: English, comment: This thesis is a study for various applications which can base on image colorization. In this thesis, there are three new proposed systems. First,a new system for automatically coloring old movies has been proposed . Second, a new system for compressing color images based on HSV model has been proposed . The third proposed system is a new method for automatically color seeds selection using morphology. I would like to express my appreciation to my supervisor Prof. Mohiy Mohamed Hadhoud for his continuous support and encouragement during the research study of this thesis. , abstract: After the appearance of Image Colorization in the literature and the different developments of colorization techniques, it was necessary to search for new applications for this new field rather than coloring gray images. This thesis is a research and implementation study for various applications that can exploit from colorization techniques. Three proposed colorization applications are proposed in this thesis; Automatic Movie Colorization System, Color Image Encoding System Using HSI Space Embedding System and Color Image Encoding System Using Morphological Decolorization. The first application of image colorization attracts researchers in this field is Old Movies Colorizing. This thesis presents a new proposal for a system that works on coloring the old movies automatically. The proposed system is based on coloring the film shot by shot instead of frames as it is common in this area. This is done by splitting the film into shots and coloring the first frame in the shot (the key frame) . After that the motion vector between the frames of each shot is generated to transfer the colors from the key frame to the following frames in the shot using the motion vector. Color image encoding becomes an

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Keystroke dynamics based user authentication using Histogram Gradient Boosting

IJCI International Journal of Computers and Information, Sep 28, 2022

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Analysis of Substitutive Fragile Watermarking Techniques for 3D Model Authentication

Advances in intelligent systems and computing, Oct 2, 2019

Due to the importance of multimedia data and the urgent need to use it in many fields such as ind... more Due to the importance of multimedia data and the urgent need to use it in many fields such as industry, medicine and entertainment, protecting them becomes an important issue. Digital watermarking is considered an efficient solution for multimedia security as it preserves the original media content as it is. For 3D graphical models, 3D fragile watermarking aims to detect any attacks to the models and protect the copyright and the ownership of the models. In this paper, we present a comparative analysis between two substitutive 3D fragile watermarking algorithms. The first algorithm is based on adaptive watermark generation technique using Hamming code, while the other algorithm uses Chaos sequence for 3D models fragile watermarking in the spatial domain. The study uses different assessment measures to show the points of strength and weaknesses of both methods.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An Efficient Color Image Encoding Scheme Based on Colorization

Advances in computational intelligence and robotics book series, 2014

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Fragile Watermarking Techniques for 3D Model Authentication: Review

Advances in intelligent systems and computing, Mar 17, 2019

The need for multimedia data in many fields such as industry, medicine, and entertainment has bec... more The need for multimedia data in many fields such as industry, medicine, and entertainment has become a common need nowadays. 3D graphics, as a type of multimedia, attracts the attention of many researchers. The spread of programs that are used to modify and duplicate this data easily leads to increase the necessity to develop a variety of watermark technologies for various protection purposes such as copyrights protection and authentication. In this study, we provide a review study of fragile watermarking techniques for 3D models over the last decade and clarify what are the criteria and requirements for design such systems. We briefly show the different types of 3D models representation and what are the most common kinds of attacks could be applied to them, and finally discuss the challenges encountered at designing such techniques.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient Convolutional Neural Network-Based Keystroke Dynamics for Boosting User Authentication

Sensors

The safeguarding of online services and prevention of unauthorized access by hackers rely heavily... more The safeguarding of online services and prevention of unauthorized access by hackers rely heavily on user authentication, which is considered a crucial aspect of security. Currently, multi-factor authentication is used by enterprises to enhance security by integrating multiple verification methods rather than relying on a single method of authentication, which is considered less secure. Keystroke dynamics is a behavioral characteristic used to evaluate an individual’s typing patterns to verify their legitimacy. This technique is preferred because the acquisition of such data is a simple process that does not require any additional user effort or equipment during the authentication process. This study proposes an optimized convolutional neural network that is designed to extract improved features by utilizing data synthesization and quantile transformation to maximize results. Additionally, an ensemble learning technique is used as the main algorithm for the training and testing phas...

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Fully automated black and white movies colorization system

International Conference on Informatics and Systems, Mar 28, 2010

ABSTRACT Since the human visual system is sensitive to colors rather than gray shades, we aim to ... more ABSTRACT Since the human visual system is sensitive to colors rather than gray shades, we aim to emphasize the appearance of black and white movies and recolor them to obtain near natural colored movies that look like their original colors. The goal of our research is to implement a powerful automatic coloring system that is suitable for coloring movies with high quality colors and in fast time as possible. Our proposed system based on colorizing the movie shot by shot rather than frame by frame, so that different techniques are presented like shot cut detection, motion estimation, similarity features between images and colorization. By this paper we have succeeded to propose and implement a complete automatic colorization system specified for movies and we nearly achieve our goals.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Robust Copy–Move forgery revealing in digital images using polar coordinate system

Neurocomputing, 2017

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A blind fragile watermarking for 3D triangular model based on curvature features and chaos sequence

IJCI. International Journal of Computers and Information

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Semi-Automatic Semantic Based Natural Images Retrieval System

Proceedings of the 10th International Conference on Informatics and Systems - INFOS '16, 2016

Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzi... more Content-based Image Retrieval (CBIR) is a term referring to looking for digital images by analyzing content of images rather than its metadata. CBIR system retrieves the image via low-level features such as color, texture and shape. In this work, we propose an improved CBIR system that retrieves images from a database based on the semantic features of them. The methodology that divide image and extracts low-level features from each region and label each one with the suitable concept (Sky, Sand, Water, trunks, foliage, rocks,..., and Grass). The results of the paper reflects the efficiency of the system for retrieving images with up to 98% recognition ratio.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A comparative study of different approaches of primitive printed Arabic Optical Character Recognition

2015 11th International Computer Engineering Conference (ICENCO), 2015

This paper is a part of comprehensive research and development towards eventually enhanced AOCR (... more This paper is a part of comprehensive research and development towards eventually enhanced AOCR (Arabic Optical Character Recognition) accuracy. This paper presents a comparative study of four most reported as high primitive printed Arabic Character Recognition works (Hamdi et al. [1], Marwa et al. [2], Marwa et al. [3] and Andrey et al. [4]). The motivation was the lack of independent comparative study between recent algorithms for researchers to depend on. A new noise-free generated dataset of 7 font types is used for evaluation. The results shown that Marwa et al. [3] algorithm overcomes the others across all dataset tests.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Primitive printed Arabic Optical Character Recognition using statistical features

2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), 2015

Due to the several forms of different Arabic font types, Arabic character recognition is still a ... more Due to the several forms of different Arabic font types, Arabic character recognition is still a challenge. Most literature works consider only one font per text what results in low recognition accuracy. This paper tends to enhance the accuracy of AOCR (Arabic Optical Character Recognition) by considering an automatic Optical Font Recognition (OFR) stage before going ahead with the traditional OCR stages. This has been achieved using SIFT (Scale Invariant Feature Transform) descriptors. First, a comparative study of four most recent algorithms of primitive OCR has been performed to evaluate the different features and classifiers utilized in their systems. Accordingly, a combining of statistical features have been proposed as well as selecting Random Forest Tree classifier for classification stage. The combination of the features are used to train the classifiers. As a result, each recognized text font is directed to a specific classifier tree. The proposed system was tested on a generated Primitive Arabic Characters Noise Free dataset (PAC-NF) containing 30000 samples. Experimental results achieved a promising character recognition accuracy of 99.8-100%.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of An evaluation of computer based color vision deficiency test: Egypt as a study case

2014 International Conference on Engineering and Technology (ICET), 2014

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A texture recognition coloring technique for natural gray images

2007 International Conference on Computer Engineering & Systems, 2007

Gray image coloring is utilized to increase the visual appeal of images such as old black and whi... more Gray image coloring is utilized to increase the visual appeal of images such as old black and white photos, movies or scientific illustrations. Most of authors working in coloring of gray scale images have used primitive methods for coloring which are both inaccurate and limited. In this paper we propose a new technique for computer coloring gray scale images. This

Bookmarks Related papers MentionsView impact