1. David, D.B. and D. Rangaswamy, 2018. Comparative study of change detection methods for multi-temporal fundus images. Biomed. Res., 29: 3469-3478.
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2. Suganthi, K. and D.B. David, 2017. Integrating face and iris biometrics for security motive by change detection mechanism. Int. Res. J. Eng. Technol., 4: 283-286.
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3. Mercy, B.A., D.B. David and A.J. Asirvatham, 2016. Gait recognition as non-intrusive biometric using view in variant methods. J. Chem. Pharm. Sci., 9: 1697-1701.
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4. David, D.B. and J. Reno, 2015. Demographic scrutiny and novel pertinence of image transition disclosure mechanism for satellite images. Int. J. Applied Eng. Res., 10: 18617-18637.
5. David, D.B. and D.M.A. Dorairangaswamy, 2015. An unsupervised change detection system for satellite images with various dimensions. J. Chem. Pharm. Sci., 8: 389-395.
6. David, B.D. and D. Rangaswamy, 2015. Image completion by spatial-contextual correlation framework using automatic and semi-automatic selection of hole region. ICTACT J. Video Process., 6: 1086-1095.
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7. David, B. and D. Rangasamy, 2015. Spatial-contextual texture and edge analysis approach for unsupervised change detection of faces in counterfeit images. Int. J. Comput. Applic., 37: 143-159.
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8. David, D.B. and D.M.A. Dorairangaswamy, 2012. Accurate object detection using static camera and security alert to mobile. Int. J. Emerging Technol. Adv. Eng., 2: 392-396.
9. David, D.B., 2011. Automatic change detection method for an indoor environment. Int. J. Adv. Networking Applic., 2: 956-962.
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10. David, D.B. and B.V. Krishna, 2010. Comparison of analog and discrete hopfield neural network for image change detection. CIIT Int. J. Digital Image Process., 2: 313-317.