詳細書目資料

資料來源: Google Book
9
0
0
0
0

Discriminative learning in biometrics

  • 作者: Zhang, David, author.
  • 其他作者:
  • 出版: Singapore : Springer Singapore :Imprint: Springer
  • 主題: Biometry. , Computer science. , Pattern perception. , Computer Science. , Biometrics. , Pattern Recognition.
  • ISBN: 9789811020568 (electronic bk.) 、 9789811020551 (paper)
  • FIND@SFXID: CGU
  • 資料類型: 電子書
  • 內容註: 1. Discriminative Learning in Biometrics -- 2. Metric Learning with Biometric Applications -- 3. Sparse Representation-based Classification for Biometric Recognition -- 4. Discriminative Features for Palmprint Authentication -- 5. Orientation Features and Distance Measure of Palmprint Authentication -- 6. Multifeature Palmprint Authentication -- 7. Discriminative Learning via Encouraging Virtual Face Images -- 8. Sparse Representation-based Methods for Face Recognition -- 9. Fusion Methodologies of Multiple Traits -- 10. Discussions and Future Work.
  • 摘要註: 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.
  • 讀者標籤:
  • 引用連結:
  • Share:
  • 系統號: 005371647 | 機讀編目格式
  • 館藏資訊

    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.

    資料來源: Google Book
    延伸查詢 Google Books Amazon
    回到最上