1. Puttagunta, M. and S. Ravi, 2021. Medical image analysis based on deep learning approach. Multimed. Tools Appl., 80: 24365-24398.
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2. Anbarasi, A., S. Ravi, J. Vaishnavi and S.V.S.B. Matla, 2021. Computer aided decision support system for mitral valve diagnosis and classification using depthwise separable convolution neural network. Multimed. Tools Appl., 80: 21409-21424.
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3. Vaishnavi, J., S. Ravi and A. Anbarasi, 2020. An efficient adaptive histogram based segmentation and extraction model for the classification of severities on diabetic retinopathy. Multimed. Tools Appl., 79: 30439-30452.
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4. Anbarasi, A., S. Ravi, J. Vaishnavi and S.V.S.B. Matla, 2019. An efficient techniques used for diagnosis of mitral valve regurgitation severity. Int. J. Innovative Technol. Exploring Eng., 9: 486-491.
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5. Subban, R., N. Susitha and D.P. Mankame, 2018. Efficient iris recognition using haralick features based extraction and fuzzy particle swarm optimization. Cluster Comput., 21: 79-90.
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6. Joseph, J. and R. Subban, 2018. A novel denoising algorithm based on superpixel clustering and dictionary learning approach. Int. J. Intell. Eng. Syst., 11: 142-152.
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7. Chandrakala, M. and S. Ravi, 2018. Effective 3D face recognition technique based on gabor and LTP features. Int. J. Eng. Adv. Technol., 8: 284-290.
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8. Punitha, S., S. Ravi, M.A. Devi and J. Vaishnavi, 2017. Particle swarm optimized computer aided diagnosis system for classification of breast masses. J. Intell. Fuzzy Syst., 32: 2819-2828.
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9. Lakshmi, G.A. and S. Ravi, 2017. Automated segmentation algorithm for cervical cell images by employing cuckoo search based ICM. J. Ambient Intell. Hum. Comput., 10.1007/s12652-017-0640-z.
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10. Vaishnavi, J., S. Ravi, M.A. Devi and S. Punitha, 2016. Automatic diabetic assessment for diabetic retinopathy using support vector machines. Int. J. Control Theory Appl., 9: 3135-3157.
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11. Veerendra, P. and S. Ravi, 2012. Privacy preserving mechanisms in wireless sensor networks. Proceedings of the International Conference on Recent Trends in Information Technology, April 19, 2012, Chennai, Tamil Nadu, India. -.
12. Teja, P. and S. Ravi, 2012. Face recognition using subspaces techniques. Proceedings of the International Conference on Recent Trends in Information Technology, April 19, 2012, Chennai, Tamil Nadu, India. -.
13. Ravi, S. and M. Rethinakumari, 2011. Improving face recognition system for multispectral images in different illumination. Proceedings of the National Conference on Recent Trends in Information Technology NCRTITR 11, March 3, 2011, Kamaraj College of Engineering and Technology. -.
14. Ravi, S. and M. Rethinakumari, 2011. Improving face recognition for multispectral images by narrowband selection. Proceedings of the National Conference on Integrated Intelligent Computing, March 4-5, 2011, India, pp:168-172..
15. Ravi, S. and M. Rethinakumari, 2011. Improving face recognition for different illumination. Proceedings of the 1st International Conference on Digital Image Processing and Pattern Recognition, September 23-25, 2011, Tirunelveli, Tamil Nadu, India. -.
16. Reji, R. and S. Ravi, 2010. Comparative analysis in 3d face recognition. Proceedings of the IEEE International Conference on Emerging Trends in Mathematics and Computer Applications, December 16-18, 2010, Sivakasi, India, pp: 598-601.
17. Reji, R. and S. Ravi, 2010. Comparative analysis in 3D face recognition. Proceedings of the International Conference on Image Processing and Computational Intelligence (2010ICIPCI), December 30-31, 2010, India. -.
18. Ravi, S. and S. Wilson, 2010. Face detection with facial features and gender classification based on support vector machine. Proceedings of the International Conference on Computational Intelligence and Computing Research, December 28-29, 2010, Chennai, Tamil Nadu, India. -.
19. Nallaperumal, K. and R. Subban, 2009. Human face detection in color images using skin color and template matching models for multimedia on the web. Int. J. Imag. Sci. Engin., 3: 301-305..
20. Subban, R. and K. Nallaperumal, 2008. Face detection using statistical models and explicitly-defined skin region classifiers. Int. J. Imag. Sci. Engin., 2: 201-201..
21. Ravi, S. and K. Nallaperumal, 2008. Skin-color based human face detection using mixed piece-wise linear decision boundary and template matching classifier. Int. J. Imag. Sci. Eng., 2: 270-277.
22. Ravi, S. and K. Nallaperumal, 2008. Face detection in color images using pixel based skin color detection techniques. J. Comput. Sci., 2: 820-832..
23. Ravi, S. and K. Nallaperumal, 2008. Face detection in color images using pixel based skin color detection techniques. Int. J. Imag. Sci. Eng., 2: 246-254.
24. Nallaperumal, K., R. Subban, R.K. Selvakumar, A.L. Fred, C.N.K. Babu, S.S. Vinsley and C. Seldev, 2008. Human face detection in color images using mixed gaussian color models. Int. J. Imag. Sci. Engin., 2: 142-145.
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25. Ambujam, D.A., N. Krishnan and S. Ravi, 2008. Face detection method based on color and edge information. Proceedings of the National Conference on High Performance Computing, April 9, 2008, Government College of Engineering, Tirunelveli, India, pp: 313-315.
26. Nallaperumal, K., S. Ravi, C.N.K. Babu, R.K. Selvakumar, A.L. Fred, C. Seldev and S.S. Vinsley, 2007. Skin detection using color pixel classification with application to face detection: A comparative study. Proceedings of the International Conference on Computational Intelligence and Multimedia Applications, December 13-15, 2007, Sivakasi, Tamilnadu, India, pp: 436-441.
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27. Nallaperumal, K., R. Subban, K. Krishnaveni, J. Varghese, S. Saudia, R.K. Selvakumar and A.L. Fred, 2007. Face detection using multi-scale morphological segmentation. Int. J. Imaging Sci. Engin., 3: 76-80.
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28. Nallaperumal, K. and R. Subban, 2007. Human face detection in color images using mixed gaussian color models. Proceedings of the International Conference on Advanced Computing and Communication, February 9-10, 2007, Kariapatti, Madurai, India, pp: 394-397..
29. Krishnan, N., R.K. Selvakumar, C.N.K. Babu, K. Arulmozhi, S.S. Vinsley and S. Ravi, 2007. A non-linear iterative impulse noise removal. Proceedings of the International Conference on Advanced Computing and Communication, February 9-10, 2007, Kariapatti, Madurai, India, pp: 265-269.
30. Krishnan, N., C.S. Christopher, S.S. Vinsley, R. Selvakumar, C.N.K. Babu and S. Ravi, 2007. New effective Iterative demosaicing. Int. J. Imaging Sci. Eng., Vol. 1. .
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31. Krishnan, N., C.S. Christopher, S.S. Vinsley, K. Selvakumar, C.N.K. Babu and S. Ravi, 2007. New effective iterative demosaicing. Proceedings of the International Conference on Advanced Computing and Communication, February 2007, Kariapatti, Madurai, India, pp: 335-338.
32. Krishnan, N., C.N.K. Babu, S. Ravi and J. Thavamani, 2007. Segmentation of text from compound images. Proceedings of the International Conference on Computational Intelligence and Multimedia Applications, December 13-15, 2007, Sivakasi, Tamilnadu, India, pp: 526-528.
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33. Nallaperumal, K., S. Ravi, K. Krishnaveni, L. Fred and R.K. Selvakumar, 2006. Human face detection in color images using skin color and template matching models for multimedia on the web. Proceedings of the IEEE Conference on Wireless and Optical Communication Networks WOCN, April 11-13, 2006, Bangalore, India. -.
34. Nallaperumal, K., K. Krishnaveni, J. Varghese, S. Saudia, R.K. Selvakumar, S. Ravi and J.J. Ranjani, 2006. Fuzzy optimal threshold multiscale morphological segmentation of digital images. Proceedings of the IEEE Conference on Wireless and Optical Communication Networks WOCN, May 2006, Bangalore, India. -.