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Biometric Recognition

13th Chinese Conference, CCBR 2018, Urumqi, China, August 11-12, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jie Zhou

    1. Tsinghua University, Beijing, China

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  2. Yunhong Wang

    1. Beihang University, Beijing, China

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  3. Zhenan Sun

    1. Chinese Academy of Sciences, Beijing, China

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  4. Zhenhong Jia

    1. Xinjiang University, Urumqi, China

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  5. Jianjiang Feng

    1. Tsinghua University, Beijing, China

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  6. Shiguang Shan

    1. Chinese Academy of Sciences, Beijing, China

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  7. Kurban Ubul

    1. Xinjiang University, Urumqi, China

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  8. Zhenhua Guo

    1. Tsinghua University, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10996)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CCBR 2018.

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About this book

The LNCS volume 10996 constitutes the proceedings of the 13th Chinese Conference on Biometric Recognition, held in Urumchi, China, in August 2018. 

 The 79 regular papers presented in this book were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics such as Biometrics, Speech recognition, Activity recognition and understanding, Online handwriting recognition, System forensics, Multi-factor authentication, Graphical and visual passwords.

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Table of contents (78 papers)

  1. Front Matter

    Pages I-XVII
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  2. Hand-Based Biometrics

    1. Front Matter

      Pages 1-1
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    2. Dorsal Hand Vein Recognition Method Based on Multi-bit Planes Optimization

      • Haoxuan Li, Yiding Wang, Xiaochen Jiang
      Pages 3-10

    3. A Novel Finger-Knuckle-Print Recognition Based on Batch-Normalized CNN

      • Yikui Zhai, He Cao, Lu Cao, Hui Ma, Junyin Gan, Junying Zeng et al.
      Pages 11-21

    4. A New Hand Shape Recognition Algorithm Based on Delaunay Triangulation

      • Fu Liu, Shoukun Jiang, Bing Kang, Tao Hou
      Pages 22-28

    5. Finger Vein Recognition Based on Weighted Graph Structural Feature Encoding

      • Shuyi Li, Haigang Zhang, Guimin Jia, Jinfeng Yang
      Pages 29-37

    6. Fingerprint Pore Extraction Using Convolutional Neural Networks and Logical Operation

      • Yuanhao Zhao, Feng Liu, Linlin Shen
      Pages 38-47

    7. Palmprint Recognition Using Siamese Network

      • Dexing Zhong, Yuan Yang, Xuefeng Du
      Pages 48-55

    8. A Cylinder Code-Based Partial Fingerprint Matching Algorithm for Small Fingerprint Scanners

      • Xiangwen Kong, Yumeng Wang, Rongsheng Wang, Changlong Jin, Hakil Kim
      Pages 56-65

    9. Optimal Parameter Selection for 3D Palmprint Acquisition System

      • Xu Liang, Gang Wu, Yan He, Nan Luo
      Pages 66-76

  3. Gesture, Gait and Action

    1. Front Matter

      Pages 77-77
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    2. Residual Gating Fusion Network for Human Action Recognition

      • Junxuan Zhang, Haifeng Hu
      Pages 79-86

    3. Study on Human Body Action Recognition

      • Dong Yin, Yu-Qing Miao, Kang Qiu, An Wang
      Pages 87-95

    4. Multi-view Gait Recognition Method Based on RBF Network

      • Yaru Qiu, Yonghong Song
      Pages 96-108

    5. Video Emotion Recognition Using Local Enhanced Motion History Image and CNN-RNN Networks

      • Haowen Wang, Guoxiang Zhou, Min Hu, Xiaohua Wang
      Pages 109-119

    6. A Video Surveillance System Based on Gait Recognition

      • Dexin Zhang, Haoxiang Zhang
      Pages 120-127

    7. Plantar Pressure Data Based Gait Recognition by Using Long Short-Term Memory Network

      • Xiaopeng Li, Yuqing He, Xiaodian Zhang, Qian Zhao
      Pages 128-136

    8. Improving Gait Recognition with 3D Pose Estimation

      • Weizhi An, Rijun Liao, Shiqi Yu, Yongzhen Huang, Pong C. Yuen
      Pages 137-147

    9. Cross-Cascading Regression for Simultaneous Head Pose Estimation and Facial Landmark Detection

      • Wei Zhang, Hongwen Zhang, Qi Li, Fei Liu, Zhenan Sun, Xin Li et al.
      Pages 148-156

    10. Real Time Violence Detection Based on Deep Spatio-Temporal Features

      • Qing Xia, Ping Zhang, JingJing Wang, Ming Tian, Chun Fei
      Pages 157-165
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Other volumes

  1. Biometric Recognition

Editors and Affiliations

  • Tsinghua University, Beijing, China

    Jie Zhou, Jianjiang Feng

  • Beihang University, Beijing, China

    Yunhong Wang

  • Chinese Academy of Sciences, Beijing, China

    Zhenan Sun, Shiguang Shan

  • Xinjiang University, Urumqi, China

    Zhenhong Jia, Kurban Ubul

  • Tsinghua University, Shenzhen, China

    Zhenhua Guo

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