Sachin Ruikar - Academia.edu (original) (raw)
Papers by Sachin Ruikar
Text detection in natural scenes is an important but challenging problem because of variations in... more Text detection in natural scenes is an important but challenging problem because of variations in the text fonts, size, line orientation, complex background in image and non-uniform illuminations. To overcome these problems, effective features for text image recognition are used.In this paper, a text region detector is designed by using a widely used feature descriptor, histogram of oriented gradients (HOG). Local binarization is applied to segment connected components. For text extraction, parameters like normalized height width ratio and compactness are taken into account to filter out text and non-text components. Text recognition is implemented using zone centroid and image centroid based distance metric feature extraction system.
Advances in intelligent systems and computing, 2020
This work explores the Human identification system using the unique vein pattern of the finger im... more This work explores the Human identification system using the unique vein pattern of the finger image capturing through sensor module. In today’s life fingerprint-based biometrics system is commonly used in society but it can be forged, instead vein patterns cannot be forged and it does not affected by any skin damage. Training data is created by capturing finger vein information through infrared sensor. Feature extraction carried using minutia and local binary pattern. Minutia is used to train the model, followed with k means clustering algorithms using Euclidian distance metrics. Local Binary Pattern (LBP) gives the various statistical feature vector. The feature vector model is trained by combing features of the minutia and LBP. Linear discriminant (LD), Ensemble subspace and Support Vector Machine (SVM) are used for classification. It is observed that linear discriminant classifier work better for finger vein classification.
Satellite Images are major resource for various earth scientists, geologist and metrologies for b... more Satellite Images are major resource for various earth scientists, geologist and metrologies for better perceptive of earth's environment and conditions. The increasing availability of satellite images has raised the need for compression of satellite image without significant loss of perceptual image. The Discrete Wavelet Transform (DWT) offer the optimal results for image compression. The purpose of this paper is to selection of wavelet by comparing various wavelet functions like Haar, Daubechies, Symlets, Coiflets, Biorthogonal, Reverse-Biorthogonal and Discrete Meyer wavelet for satellite image compression. The fine pick of wavelet function aids in improving the quality of image. The compressed image performance is analyzed by using picture quality measures. The picture quality measures assist in selection of most optimized wavelet function. This paper will put forward a decent orientation for the application designers and scientists to opt for the worthy wavelet function for their purpose.
This paper describes the searching problem of images stored in big databases i.e. content based i... more This paper describes the searching problem of images stored in big databases i.e. content based image retrieval (CBIR) system. It represents the behaviour and proposes solution for it. In general vast deployment in various applications therefore the capacity of image database increases because it's needed efficient CBIR method. This paper uses the primary image features like colour, shape and texture. This primary features take out using various algorithms those are useful to obtain similarity check into images. It describes the result using MATLAB software application, with a large image database. It utilizes feature of colour, texture and shape of the database images for comparison purpose and further for obtaining of image and it including relevance.
Lecture notes in electrical engineering, Aug 14, 2020
This paper presents analysis of microstrip antenna used for multiple inputs and multiple outputs ... more This paper presents analysis of microstrip antenna used for multiple inputs and multiple outputs for the wireless technology i.e. MIMO antenna. Due to rapid changes in wireless technology the size and weight of MIMO antenna reduces rapidly. The MIMO technology works parallel from the transmitter to the receiver that increases the data rates, channel capacity of the signal and reduces the multipath fading effects. The MIMO antenna designed using approximate methods and full wave methods. The approximate model provides the design using transmission to segmentation model. The full wave methods provides the design methodology for method of moments to finite difference time domain. The MIMO antenna are developed to improve the various parameter such as VSWR, Isolation, Impedance, Return loss, Gain, Directivity, efficiency, total active reflection coefficient, correlation coefficient and envelope correlation coefficient over the frequency ranges.
This paper describes a technique to obtain a high resolution image from a given video sequence. T... more This paper describes a technique to obtain a high resolution image from a given video sequence. The images obtained from inexpensive cameras are generally of low-quality and low-resolution and feeding those images to facial analysis systems generate undesirable outputs. The approach is to implement learning-based super-resolution algorithm on the low-resolution images to obtain high-resolution output. All the images extracted from the video are not useable in super-resolution algorithm. Therefore face quality assessment using facial feature extraction is utilized to discard the unwanted face images. Based on the quality score, it summarizes the input video sequence into a single best quality frontal face image. The employed super-resolution algorithm is applied on the best image resulting in an improved and enhanced high-quality, high-resolution image.
Digital Image Processing, 2012
Visual data conveyed as images are making an aggressive thrust as an amazing means of communicati... more Visual data conveyed as images are making an aggressive thrust as an amazing means of communication in the fast zooming high-tech world. However, it is unfortunate that the image get metamorphosed after transmission as it is habitually tainted with noise. Thus, noise has emerged as one of the most crucial and common challenges in image processing. The received image can be badly in need of pre-processing dispensation before it can be profitably deployed in applications.
International Journal of Intelligent Engineering and Systems, 2021
The popularity of video recordings either on mobile devices or video surveillance has contributed... more The popularity of video recordings either on mobile devices or video surveillance has contributed to the demand for video data applications. As a result, the management of video has become significant in the object retrieval process. However, the video object retrieval is considered as a major issue in the video objects management. This paper proposes an integrated optimization-based classifier for video object retrieval. Here, the input video is subjected to optical flow estimation using a spatio-temporal feature descriptor, named Histograms of Optical Flow Orientation and Magnitude (HOFM) for extracting the events and establishing the HOFM indexed database using the detected objects. Hence, object tracking is a major step, which detects and tracks the video objects using a hybrid model named Nearest Search Algorithm-Support Vector Regression (NSA-SVR). For the video retrieval, the training of Naive Bayes (NB) classifier is performed using the proposed Lion-Salp Swarm Algorithm (LS...
Inpainting is the art of modifying an image in a form that is not detectable by an ordinary obser... more Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and different approaches to tackle the inpainting problem. The inpainting technique can be classified into two categories: (1) texture oriented and (2) structure oriented. Both the technique have their advantages and disadvantages. Wavelet transform has been used for various image analysis problems due to its nice multi-resolution properties and decoupling characteristics. We propose to utilize the advantages of wavelet transforms for image inpainting. A number of examples on real and synthetic images demonstrate the effectiveness of the algorithm. Unlike other inpainting algorithms, we can expect better global structure estimation of a damaged or target region in addition to shape and texture properties
2013 International Conference on Signal Processing , Image Processing & Pattern Recognition, 2013
Single sensor digital color cameras capture only one of the three primary colors at each pixel an... more Single sensor digital color cameras capture only one of the three primary colors at each pixel and full color image is formed by interpolating all other missing color samples at each pixel. This process is color demosaicking. Most demosaicking algorithms assume the existence of high local spectral redundancy in estimating the missing color samples. However, for images with sharp color transitions and high color saturation, such an assumption may be invalid and visually unpleasant demosaicking errors will occur. In this paper the image non-local redundancy is used to improve the local color reproduction result. For that First, multiple local directional estimates of a missing color sample are computed and fused according to local gradients. Then nonlocal pixels similar to the estimated pixel are searched to enhance the local estimate. For that an adaptive thresholding method rather than the commonly used nonlocal means filtering is implemented to improve the local estimate. Results demonstrate that the local directional interpolation and nonlocal adaptive thresholding (LDI-NAT) method outperforms than other CDM methods in reconstructing the edges and reducing color interpolation artifacts, leading to higher visual quality of reproduced color images.
Engineering, Technology & Applied Science Research
An Ultra-Wide Band (UWB) MIMO antenna working at millimeter-wave is proposed in this research. It... more An Ultra-Wide Band (UWB) MIMO antenna working at millimeter-wave is proposed in this research. It is composed of eight radiating elements with various shapes. It is designed with a rectangular structure and various carved slots. The carved slots are used to increase the antenna's bandwidth. The antenna's radiating elements are placed near one another, and thus, isolation is widespread. In order to improve the isolation of the MIMO antenna, parasitic elements and a defective ground structure are used. Antenna parameters such as Correlation Coefficient (CC), Envelope Correlation Coefficient (ECC), Diversity Gain (DG), and Total Active Reflection Coefficient (TARC) depend on the isolation. Parasitic elements with a rectangular form are positioned between the radiating patches. Rectangular-shaped ground structures with defects comprise the ground plane. An FR-4 substrate is used to fabricate the antenna. The analysis of the antenna shows that there is less than -14dB return loss...
Lecture notes in networks and systems, Nov 8, 2022
Engineering, Technology & Applied Science Research
This paper proposes a massive MIMO antenna operating on 6GHz frequency as millimeter-wave. It con... more This paper proposes a massive MIMO antenna operating on 6GHz frequency as millimeter-wave. It consists of eight dissimilar-shaped radiating elements. The radiating element of the antenna is designed using square shape with different cut slots. Parasitic elements and defected ground structure are introduced for the enhancement of the correlation coefficients and total active reflection coefficients of the MIMO antenna. The rectangular shape parasitic elements are placed between the square radiating patches. The ground plane consists of rectangular shape defected ground structures. The antenna is constructed on the FR-4 substrate. Parameters such as isolation, cross-correlation, and bandwidth are enhanced. The obtained through simulations antenna parameters values of return loss, isolation, cross-correlation, total active reflection coefficients, and bandwidth are less than -10dB, less than -9.30dB, less than 0.16, less than 0.00015, and greater than 200MHz respectively. The antenna o...
Vaibhav V Nalawade , Sachin D Ruikar 2 1 Electronics & Telecommunication Dept., Sinhgad Academy o... more Vaibhav V Nalawade , Sachin D Ruikar 2 1 Electronics & Telecommunication Dept., Sinhgad Academy of Engg., Pune 2 Electronics & Telecommunication Dept., Sinhgad Academy of Engg, Pune vaibhav_n2009@rediffmail.com, ruikaretcdept@gmail.com Abstract— Image inpainting is the process of filling in of mi ssing region so as to preserve its overall continui ty. Image inpainting is manipulation and modification of an image in a form that is not easily detected. Digita l image inpainting is relatively new area of research, but numerous and d ifferent approaches to tackle the inpainting problem have been proposed since the concept was first introduced. This paper compares two separate techniques viz, Exemplar base d inpainting technique and Wavelet based inpainting technique, e ach portraying a different set of characteristics. The algorithms analyzed under exemplar technique are large object removal by exemplar based inpainting technique (Cri minisi’s) and modified exemplar (Cheng). The algorit...
Text detection in natural scenes is an important but challenging problem because of variations in... more Text detection in natural scenes is an important but challenging problem because of variations in the text fonts, size, line orientation, complex background in image and non-uniform illuminations. To overcome these problems, effective features for text image recognition are used.In this paper, a text region detector is designed by using a widely used feature descriptor, histogram of oriented gradients (HOG). Local binarization is applied to segment connected components. For text extraction, parameters like normalized height width ratio and compactness are taken into account to filter out text and non-text components. Text recognition is implemented using zone centroid and image centroid based distance metric feature extraction system.
Advances in intelligent systems and computing, 2020
This work explores the Human identification system using the unique vein pattern of the finger im... more This work explores the Human identification system using the unique vein pattern of the finger image capturing through sensor module. In today’s life fingerprint-based biometrics system is commonly used in society but it can be forged, instead vein patterns cannot be forged and it does not affected by any skin damage. Training data is created by capturing finger vein information through infrared sensor. Feature extraction carried using minutia and local binary pattern. Minutia is used to train the model, followed with k means clustering algorithms using Euclidian distance metrics. Local Binary Pattern (LBP) gives the various statistical feature vector. The feature vector model is trained by combing features of the minutia and LBP. Linear discriminant (LD), Ensemble subspace and Support Vector Machine (SVM) are used for classification. It is observed that linear discriminant classifier work better for finger vein classification.
Satellite Images are major resource for various earth scientists, geologist and metrologies for b... more Satellite Images are major resource for various earth scientists, geologist and metrologies for better perceptive of earth's environment and conditions. The increasing availability of satellite images has raised the need for compression of satellite image without significant loss of perceptual image. The Discrete Wavelet Transform (DWT) offer the optimal results for image compression. The purpose of this paper is to selection of wavelet by comparing various wavelet functions like Haar, Daubechies, Symlets, Coiflets, Biorthogonal, Reverse-Biorthogonal and Discrete Meyer wavelet for satellite image compression. The fine pick of wavelet function aids in improving the quality of image. The compressed image performance is analyzed by using picture quality measures. The picture quality measures assist in selection of most optimized wavelet function. This paper will put forward a decent orientation for the application designers and scientists to opt for the worthy wavelet function for their purpose.
This paper describes the searching problem of images stored in big databases i.e. content based i... more This paper describes the searching problem of images stored in big databases i.e. content based image retrieval (CBIR) system. It represents the behaviour and proposes solution for it. In general vast deployment in various applications therefore the capacity of image database increases because it's needed efficient CBIR method. This paper uses the primary image features like colour, shape and texture. This primary features take out using various algorithms those are useful to obtain similarity check into images. It describes the result using MATLAB software application, with a large image database. It utilizes feature of colour, texture and shape of the database images for comparison purpose and further for obtaining of image and it including relevance.
Lecture notes in electrical engineering, Aug 14, 2020
This paper presents analysis of microstrip antenna used for multiple inputs and multiple outputs ... more This paper presents analysis of microstrip antenna used for multiple inputs and multiple outputs for the wireless technology i.e. MIMO antenna. Due to rapid changes in wireless technology the size and weight of MIMO antenna reduces rapidly. The MIMO technology works parallel from the transmitter to the receiver that increases the data rates, channel capacity of the signal and reduces the multipath fading effects. The MIMO antenna designed using approximate methods and full wave methods. The approximate model provides the design using transmission to segmentation model. The full wave methods provides the design methodology for method of moments to finite difference time domain. The MIMO antenna are developed to improve the various parameter such as VSWR, Isolation, Impedance, Return loss, Gain, Directivity, efficiency, total active reflection coefficient, correlation coefficient and envelope correlation coefficient over the frequency ranges.
This paper describes a technique to obtain a high resolution image from a given video sequence. T... more This paper describes a technique to obtain a high resolution image from a given video sequence. The images obtained from inexpensive cameras are generally of low-quality and low-resolution and feeding those images to facial analysis systems generate undesirable outputs. The approach is to implement learning-based super-resolution algorithm on the low-resolution images to obtain high-resolution output. All the images extracted from the video are not useable in super-resolution algorithm. Therefore face quality assessment using facial feature extraction is utilized to discard the unwanted face images. Based on the quality score, it summarizes the input video sequence into a single best quality frontal face image. The employed super-resolution algorithm is applied on the best image resulting in an improved and enhanced high-quality, high-resolution image.
Digital Image Processing, 2012
Visual data conveyed as images are making an aggressive thrust as an amazing means of communicati... more Visual data conveyed as images are making an aggressive thrust as an amazing means of communication in the fast zooming high-tech world. However, it is unfortunate that the image get metamorphosed after transmission as it is habitually tainted with noise. Thus, noise has emerged as one of the most crucial and common challenges in image processing. The received image can be badly in need of pre-processing dispensation before it can be profitably deployed in applications.
International Journal of Intelligent Engineering and Systems, 2021
The popularity of video recordings either on mobile devices or video surveillance has contributed... more The popularity of video recordings either on mobile devices or video surveillance has contributed to the demand for video data applications. As a result, the management of video has become significant in the object retrieval process. However, the video object retrieval is considered as a major issue in the video objects management. This paper proposes an integrated optimization-based classifier for video object retrieval. Here, the input video is subjected to optical flow estimation using a spatio-temporal feature descriptor, named Histograms of Optical Flow Orientation and Magnitude (HOFM) for extracting the events and establishing the HOFM indexed database using the detected objects. Hence, object tracking is a major step, which detects and tracks the video objects using a hybrid model named Nearest Search Algorithm-Support Vector Regression (NSA-SVR). For the video retrieval, the training of Naive Bayes (NB) classifier is performed using the proposed Lion-Salp Swarm Algorithm (LS...
Inpainting is the art of modifying an image in a form that is not detectable by an ordinary obser... more Inpainting is the art of modifying an image in a form that is not detectable by an ordinary observer. There are numerous and different approaches to tackle the inpainting problem. The inpainting technique can be classified into two categories: (1) texture oriented and (2) structure oriented. Both the technique have their advantages and disadvantages. Wavelet transform has been used for various image analysis problems due to its nice multi-resolution properties and decoupling characteristics. We propose to utilize the advantages of wavelet transforms for image inpainting. A number of examples on real and synthetic images demonstrate the effectiveness of the algorithm. Unlike other inpainting algorithms, we can expect better global structure estimation of a damaged or target region in addition to shape and texture properties
2013 International Conference on Signal Processing , Image Processing & Pattern Recognition, 2013
Single sensor digital color cameras capture only one of the three primary colors at each pixel an... more Single sensor digital color cameras capture only one of the three primary colors at each pixel and full color image is formed by interpolating all other missing color samples at each pixel. This process is color demosaicking. Most demosaicking algorithms assume the existence of high local spectral redundancy in estimating the missing color samples. However, for images with sharp color transitions and high color saturation, such an assumption may be invalid and visually unpleasant demosaicking errors will occur. In this paper the image non-local redundancy is used to improve the local color reproduction result. For that First, multiple local directional estimates of a missing color sample are computed and fused according to local gradients. Then nonlocal pixels similar to the estimated pixel are searched to enhance the local estimate. For that an adaptive thresholding method rather than the commonly used nonlocal means filtering is implemented to improve the local estimate. Results demonstrate that the local directional interpolation and nonlocal adaptive thresholding (LDI-NAT) method outperforms than other CDM methods in reconstructing the edges and reducing color interpolation artifacts, leading to higher visual quality of reproduced color images.
Engineering, Technology & Applied Science Research
An Ultra-Wide Band (UWB) MIMO antenna working at millimeter-wave is proposed in this research. It... more An Ultra-Wide Band (UWB) MIMO antenna working at millimeter-wave is proposed in this research. It is composed of eight radiating elements with various shapes. It is designed with a rectangular structure and various carved slots. The carved slots are used to increase the antenna's bandwidth. The antenna's radiating elements are placed near one another, and thus, isolation is widespread. In order to improve the isolation of the MIMO antenna, parasitic elements and a defective ground structure are used. Antenna parameters such as Correlation Coefficient (CC), Envelope Correlation Coefficient (ECC), Diversity Gain (DG), and Total Active Reflection Coefficient (TARC) depend on the isolation. Parasitic elements with a rectangular form are positioned between the radiating patches. Rectangular-shaped ground structures with defects comprise the ground plane. An FR-4 substrate is used to fabricate the antenna. The analysis of the antenna shows that there is less than -14dB return loss...
Lecture notes in networks and systems, Nov 8, 2022
Engineering, Technology & Applied Science Research
This paper proposes a massive MIMO antenna operating on 6GHz frequency as millimeter-wave. It con... more This paper proposes a massive MIMO antenna operating on 6GHz frequency as millimeter-wave. It consists of eight dissimilar-shaped radiating elements. The radiating element of the antenna is designed using square shape with different cut slots. Parasitic elements and defected ground structure are introduced for the enhancement of the correlation coefficients and total active reflection coefficients of the MIMO antenna. The rectangular shape parasitic elements are placed between the square radiating patches. The ground plane consists of rectangular shape defected ground structures. The antenna is constructed on the FR-4 substrate. Parameters such as isolation, cross-correlation, and bandwidth are enhanced. The obtained through simulations antenna parameters values of return loss, isolation, cross-correlation, total active reflection coefficients, and bandwidth are less than -10dB, less than -9.30dB, less than 0.16, less than 0.00015, and greater than 200MHz respectively. The antenna o...
Vaibhav V Nalawade , Sachin D Ruikar 2 1 Electronics & Telecommunication Dept., Sinhgad Academy o... more Vaibhav V Nalawade , Sachin D Ruikar 2 1 Electronics & Telecommunication Dept., Sinhgad Academy of Engg., Pune 2 Electronics & Telecommunication Dept., Sinhgad Academy of Engg, Pune vaibhav_n2009@rediffmail.com, ruikaretcdept@gmail.com Abstract— Image inpainting is the process of filling in of mi ssing region so as to preserve its overall continui ty. Image inpainting is manipulation and modification of an image in a form that is not easily detected. Digita l image inpainting is relatively new area of research, but numerous and d ifferent approaches to tackle the inpainting problem have been proposed since the concept was first introduced. This paper compares two separate techniques viz, Exemplar base d inpainting technique and Wavelet based inpainting technique, e ach portraying a different set of characteristics. The algorithms analyzed under exemplar technique are large object removal by exemplar based inpainting technique (Cri minisi’s) and modified exemplar (Cheng). The algorit...