Dorsal Hand Recognition Through Adaptive YCbCr Imaging Technique

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• 关键词：Dorsal hand ; Identification ; Ycbcr color space ; Image processing ; Video processing
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9876
• 期：1
• 页码：262-270
• 全文大小：1,401 KB
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• 作者单位：Orcan Alpar (17)
  Ondrej Krejcar (17)
  
  17. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic
  
• 丛书名：Computational Collective Intelligence
• ISBN：978-3-319-45246-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9876

文摘

Dorsal hand recognition is a trending topic in biometrics and human computer interactive systems. The characteristic and unique shape of the dorsal side of users’ hands could be identified and discriminated for continuous authentication or could be tracked for second security option as a keyboard passwords. Therefore we propose a novel recognition system that deals with users’ hands on the keyboard using adaptive YCbCr color space. The images are extracted from a video recorded by a camera mounted on the monitor and the Cb and the Cr color intervals of the dorsal hands are identified and stored. In contrast with the common algorithms that deal with the static interval, we propose an adaptive system which initially identifies the Cb and Cr values of the users’ hands and subsequently recognize the dorsal hands throughout the frames of the video.