Friday 29th of March 2024
 

Face Recognition Algorithm Based on Doubly Truncated Gaussian Mixture Model Using Hierarchical Clustering Algorithm


D. Haritha, K. Srinivasa Rao and Ch. Satyanarayana

A robust and efficient face recognition system was developed and evaluated. The each individual face is characterized by 2D-DCT coefficients which follows a finite mixture of doubly truncated Gaussian distribution. In modelling the features vector of the face the number of components (in the mixture model) are determined by hierarchical clustering. The model parameters are estimated using EM algorithm. The face recognition algorithm is developed by maximum likelihood under Baysian frame. The method was tested on two available face databases namely JNTUK and yale. The recognition rates computed for different methods of face recognition have revealed that the proposed method performs very well when compared to the other approaches. It is also observed that the proposed system require less number of DCT coefficients in each block and serve well even with large and small databases. The hybridization of hierarchical clustering with model based approach has significantly improved the recognition rate of the system even with the simple features like DCT. Keywords: Face recognition system, doubly truncated Gaussian mixture model, Hierarchical clustering algorithm, DCT coefficients.

Keywords: Face recognition system, doubly truncated Gaussian mixture model, Hierarchical clustering algorithm, DCT coefficients

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ABOUT THE AUTHORS

D. Haritha
D. Haritha is Assistant Professor in Computer science and Engineering Department at Jawaharlal Nehru Technological University Kakinada. She has 12+ years of experience. She guided 30 M.Tech students and 15 MCA students for their project. Her research interest is on image processing, Data structures and networking. She published 4 research papers in international journals. She published 3 research papers in international conferences.

K. Srinivasa Rao
Dr. K. Srinivasa Rao is professor and chairman of P.G. Board of studies, Andhra University. He published 103 papers in reputed national and international journals. He guided 30 students for their Ph.D. degrees in 6 disciplines. He is the chief editor of journal of ISPS. He is the fellow of AP Akademy of sciences. His current research interests are Datamining, Stostatic modeling, Image Processing and Statistical Signal Processing.

Ch. Satyanarayana
Dr. Ch. Satyanarayana is Associate Professor in Computer science and Engineering Department at Jawaharlal Nehru Technological University Kakinada. He has 13 years of experience. His area of interest is on Image processing, Database Management Systems, Speech Recognition, Pattern recognition and network security. He guided more than 78 M.Tech projects and 56 MCA projects. He published 20 research papers in international journals. He published 30 research papers in international conferences.


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