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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 128-133

Make Palm Print Matching Mobile

        Fang Li, Maylor K.H. Leung, and Cheng Shao Chian

Full text:  PDF


With the growing importance of personal identification and authentication in today’s highly advanced world where most business and personal tasks are being replaced by electronic means, the need for a technology that is able to uniquely identify an individual and has high fraud resistance saw the rise of biometric technologies. Making biometric-based solution mobile is a promising trend. A new set of palm print image database captured using embedded cameras in mobile phone was created to test various segmentation techniques on their robustness. The improved square-based palm print segmentation method was successfully implemented and integrated into the current application suite. Comparing to the two segmentation methods that are based on boundary tracking of the overall hand shape that has limitation of being unable to process palm print images that has one or more fingers closed, the system can now effectively handle the segmentation of palm print images with varying finger positioning. The high flexibility makes palm print matching  mobile to be possible.

Index Terms

Palm print; segmentation; mobility

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