Human Face Recognition with Support Vector Machines: Algorithms and Applications - Softcover

Parthiban, Latha

Softcover

ISBN 10: 3639366999 ISBN 13: 9783639366990

Publisher: VDM Verlag Dr. Müller, 2011

Synopsis

The computer vision problem of face recognition has over the years become a common high-requirement benchmark for machine learning methods. In the last decade, highly efficient face recognition systems have been developed that extensively use the nature of the image domain to achieve accurate real-time performance. The effectiveness of such systems are possible only with the progress of machine learning algorithms. Support vector machine learning is a relatively recent method that offers a good generalization performance in classification problems like face recognition. An algorithm based on Gabor texture information with SVM classifier is demonstrated in this book.The estimated model parameters serve as texture representation and experiments were performed on Yale,ORL and FERET databases to validate the feasibility of the method. The results showed that both Gabor magnitude and Gabor phase based texture representation technique with SVM classifier significantly outperformed the widely used Gabor energy based systems and other existing subspace methods. In addition, the feature level fusion of these two kinds of texture representations performs better than when used individually.

About this title

About the Author

Latha Parthiban is working as Professor in Department of Computer Science and Engineering at SSN College of Engineering,India. She earned her B.E from Madras University, M.E from Anna University and PhD from Pondicherry Central University. Her current research area involves applications of data mining, machine learning and medical image processing.

Edition details

• Publisher: VDM Verlag Dr. Müller
• Publication date: 2011
• Language: English
• ISBN 10: 3639366999
• ISBN 13: 9783639366990
• Binding: Paperback
• Number of pages: 64