Ts Suganya | Sathyabama University (original) (raw)
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Graduate Center of the City University of New York
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Papers by Ts Suganya
Soft Computing, 2019
Optical character recognition is becoming one of the widely researched areas in recent times. Thi... more Optical character recognition is becoming one of the widely researched areas in recent times. This research paper presents an optimization framework for ancient script recognition using the process of script or character segmentation. The proposed algorithm is based on evolutionary algorithm and capable of handing a continuous script of high-resolution data using concepts of big data. A hybrid combination of group search and firefly algorithm has been proposed in this research work and compared against recent works. Optimal classifications results are observed and recorded in this research paper.
International Journal of Scientific Research, 2012
Indian journal of applied research, 2014
Tamil character recognition is one of the most difficult tasks in the pattern recognition system.... more Tamil character recognition is one of the most difficult tasks in the pattern recognition system. There are lots of difficult things which can be solved through image processing technique, separating each character, recognizing character fonts and writing styles used in different centuries. Many researchers try to apply many techniques for breaking through the complex problem of Tamil character recognition. Currently there are widely available digital image processing algorithm and implementation that are able to detect characters from raw images. In character recognition system most of the applications use grey/binary images since processing color images is computationally high. Such images may also contain non-uniform background so it is difficult to extract the images without performing preprocessing. In this research paper an attempt has been done to analyses the various approaches and challenges in recognitions of Tamil characters and issues related to recognitions method that ...
Tamil is one of the oldest languages in the world, spoken in Tamil Nadu, South India, which is in... more Tamil is one of the oldest languages in the world, spoken in Tamil Nadu, South India, which is inherited from Brahmi Script. The main source of information about history are the stone inscriptions. OCR aids in digitizing Tamil scripts from the ancient and old era to the latest, making its access easy through Internet. Ancient Tamil character recognition from stone inscription is a challenge due to the large disparities of writing style. Efficient feature extraction and selection is essential for effective Ancient Tamil character recognition system. The aim of this paper is the use of Shape and Hough transform for feature extraction using Group Search Optimization and Firefly algorithm for feature selection to recognize the ancient Tamil script.
Soft Computing, 2019
Optical character recognition is becoming one of the widely researched areas in recent times. Thi... more Optical character recognition is becoming one of the widely researched areas in recent times. This research paper presents an optimization framework for ancient script recognition using the process of script or character segmentation. The proposed algorithm is based on evolutionary algorithm and capable of handing a continuous script of high-resolution data using concepts of big data. A hybrid combination of group search and firefly algorithm has been proposed in this research work and compared against recent works. Optimal classifications results are observed and recorded in this research paper.
International Journal of Scientific Research, 2012
Indian journal of applied research, 2014
Tamil character recognition is one of the most difficult tasks in the pattern recognition system.... more Tamil character recognition is one of the most difficult tasks in the pattern recognition system. There are lots of difficult things which can be solved through image processing technique, separating each character, recognizing character fonts and writing styles used in different centuries. Many researchers try to apply many techniques for breaking through the complex problem of Tamil character recognition. Currently there are widely available digital image processing algorithm and implementation that are able to detect characters from raw images. In character recognition system most of the applications use grey/binary images since processing color images is computationally high. Such images may also contain non-uniform background so it is difficult to extract the images without performing preprocessing. In this research paper an attempt has been done to analyses the various approaches and challenges in recognitions of Tamil characters and issues related to recognitions method that ...
Tamil is one of the oldest languages in the world, spoken in Tamil Nadu, South India, which is in... more Tamil is one of the oldest languages in the world, spoken in Tamil Nadu, South India, which is inherited from Brahmi Script. The main source of information about history are the stone inscriptions. OCR aids in digitizing Tamil scripts from the ancient and old era to the latest, making its access easy through Internet. Ancient Tamil character recognition from stone inscription is a challenge due to the large disparities of writing style. Efficient feature extraction and selection is essential for effective Ancient Tamil character recognition system. The aim of this paper is the use of Shape and Hough transform for feature extraction using Group Search Optimization and Firefly algorithm for feature selection to recognize the ancient Tamil script.