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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Discriminative Learning in Biometrics
• Author: DAVID ZHANG
• Language: English
• Binding: Paperback
• Number of pages: 266
• EAN: 9789811095153
• ISBN: 9789811095153
• ID: 19757987
• Publisher: Springer Verlag, Singapore
• Weight: 454 g
• Dimensions: 235 × 155 × 16 mm
• Date of publishing: 16. June 2018

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