Author: David Zhang
Publisher: Springer
Published: 2016-10-26
Total Pages: 266
ISBN-13: 9811020566
DOWNLOAD EBOOKThis monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.
Book Synopsis Discriminative Learning in Biometrics by : David Zhang
Download or read book Discriminative Learning in Biometrics written by David Zhang and published by Springer. This book was released on 2016-10-26 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.