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Biometric Recognition

18th Chinese Conference, CCBR 2024, Nanjing, China, November 22–24, 2024, Proceedings, Part I

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  • © 2025
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Overview

Editors:
  1. Shiqi Yu

    1. Southern University of Science and Technology, Shenzhen, China

  2. Wei Jia

    1. Hefei University of Technology, Hefei, China

  3. Xiangbo Shu

    1. Nanjing University of Science and Technology, Nanjing, China

  4. Xiaotong Yuan

    1. Nanjing University, Nanjing, China

  5. Jie Gui

    1. Southeast University, Nanjing, China

  6. Jinhui Tang

    1. Nanjing University of Science and Technology, Nanjing, China

  7. Caifeng Shan

    1. Nanjing University, Nanjing, China

  8. Qingshan Liu

    1. Nanjing University of Posts and Telecommunications, Nanjing, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15352)

Included in the following conference series:

Conference proceedings info: CCBR 2024.

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About this book

This two-volume set, LNCS 15352 and LNCS 15353, constitutes the proceedings of the 18th Chinese Conference on Biometric Recognition, CCBR 2024, held in Nanjing, China, during November 22–24, 2024.

The 52 full papers presented here were carefully reviewed and selected from 82 submissions. These papers have been categorized under the following topical sections in these two volumes: -

Part I: Fingerprint, Palmprint and Vein Recognition; Face Detection, Recognition and Tracking.

Part II: Face Detection, Recognition and Tracking; Affective Computing and Human-Computer Interface; Gait, Iris and Other Biometrics; Trustworthy, Privacy and Personal Data Security; Medical and Other Applications.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Fingerprint, Palmprint and Vein Recognition

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. OCT Fingerprint Fusion Combining Cross Attention and Quality Optimization

      • Jianru Zhou, Haixia Wang, Yilong Zhang, Haohao Sun
      Pages 3-13

    3. Beyond First-Order: A Multi-scale Approach to Finger Knuckle Print Biometrics

      • Chengrui Gao, Ziyuan Yang, Andrew Beng Jin Teoh, Min Zhu
      Pages 14-24

    4. Fingerprint Revocable Template Protection of Variable Window-Based Random Permutation && Check Code

      • Zilong Xu, Weixin Bian, Yao Hu, Feng Luo
      Pages 25-35

    5. Direction-Guided Sparse Representation Method for Finger Vein Recognition

      • Lizhen Zhou, Lu Yang, Qinggang Meng, Gongping Yang
      Pages 36-45

    6. Learning Compact Binary Codes for Few-Shot Finger Vein Recognition

      • Jianian Hu, Shuyi Li, Lunke Fei, Shuping Zhao, Lifang Wu
      Pages 46-56

    7. Privacy Protection in Palmprint Recognition via Pruning Frequency Channels

      • Siyu Shi, Huikai Shao, Dexing Zhong
      Pages 57-67

    8. A Federated Learning Framework for Lightweight Model Contrast for Finger Vein Recognition

      • Guang Chen, Tianming Xie, Xu Yang, Feng Tian, Wenxiong Kang
      Pages 68-78

    9. Palmprint Anti-spoofing via Frequency Enhancement and Selection

      • Yani Ren, Huikai Shao, Dexing Zhong
      Pages 79-88

    10. Spoofing Attacks Utilizing a More Realistic Contactless Palm Vein Correction Algorithm

      • Jianbin Wang, Dacan Luo, Runzhang Chen, Wenxiong Kang
      Pages 89-99

    11. An Image Super-Resolution Based Method for Palmprint Recognition

      • Zekai Yang, Dacan Luo, Ming Zeng, Hao Wan, Wenxiong Kang
      Pages 100-109

    12. FCNet: Adaptive Finger Trimodal Feature Crystal Construction and Recognition

      • Zihao Zhao, Ziyun Ye, Binmeng Shi, Qi Liang, Xingzheng Zhu, Jinfeng Yang
      Pages 110-120

    13. Unsupervised Fingerprint Registration: A Reinforcement Learning Approach

      • Jing Xing, Yuwei Jia, Zhe Cui, Fei Su
      Pages 121-130

    14. Region of Interest Extraction for Palm in the Wild

      • Haoheng Lin, Junqin Huang, Dacan Luo, Ming Zeng, Wenxiong Kang
      Pages 131-141

    15. A GAN-Based Data Augmentation Method for Palm Vein Authentication

      • Junqin Huang, Jiyi Huang, Haoheng Lin, Dacan Luo, Wenxiong Kang
      Pages 142-152

    16. 3D Palmprint MCI Synthesis for 2D-3D Heterogeneous Palmprint Recognition

      • Le Su, Lunke Fei, Shuping Zhao, Shuyi Li, Jia Wei
      Pages 153-163

    17. Palmprint Recognition Method Based on Orientation Features: A Survey

      • Hao Lu, Cunyu Sheng, Wei Jia
      Pages 164-173

    18. Arm Vein Recognition Based on Multi-hop Graph Convolutional Networks

      • Siyu Huang, Chaoying Tang, Yuren Sun
      Pages 174-183

  3. Face Detection, Recognition and Tracking

    1. Front Matter

      Pages 185-185
      Download chapter PDF
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Other volumes

  1. Biometric Recognition

  2. Biometric Recognition

Editors and Affiliations

  • Southern University of Science and Technology, Shenzhen, China

    Shiqi Yu

  • Hefei University of Technology, Hefei, China

    Wei Jia

  • Nanjing University of Science and Technology, Nanjing, China

    Xiangbo Shu, Jinhui Tang

  • Nanjing University, Nanjing, China

    Xiaotong Yuan, Caifeng Shan

  • Southeast University, Nanjing, China

    Jie Gui

  • Nanjing University of Posts and Telecommunications, Nanjing, China

    Qingshan Liu

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