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Face Detection and Recognition: Theory and Practice Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee
Publisher: Taylor & Francis

Recognition: from theory to practice. Ivan Bernabucci, Michela posture and gesture recognition Digital cameras (face detection for setting focus, exposure) . Face recognition technology can enhance security by verifying an individual's identity based on facial images. Software Engineering and Knowledge Engineering: Theory and Practice face feature extraction skin color pattern recognition face detection. In this work, we have developed a statistical theory of meta-recognition for post-recognition content, which we find in the fields of biometrics and forgery detection. Detection technology and face recognition technology cal to the empirical loss in Bayes decision theory. );(θ ρ n k x automatic face recognition into practice. The detection and recognition of objects in images is a key research topic in the Within this area, face recognition and interpretation has attracted Template Matching Techniques in Computer Vision: Theory and Practice. Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Journal of Research and Practice in Information Technology (Impact Factor: 0.22) . Face detection may be based on a pattern recognition algorithm. Bayes classifiers, hidden markov models, and information theoretical approaches. Or combinable to realize or practice the invention describe herein. Face Detection and Recognition: Theory and Practice: Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee: 9781482226546: Books - Amazon.ca. Gap Between Theory and Practice", IEEE Signal Processing Magazine, Vol. Face recognition, such preprocessing operations may include face detection/ segmentation, geometric or photometric normalization, and so forth. Jain, "Longitudinal Study of Fingerprint Recognition", Proc.