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Abstract-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;
I. INTRODUCTION
Personal identification and authentication have become a common task in today's highly advanced world where more and more day-to-day personal and business activities have been computerized. Traditional identification and authentication systems relies on either a token item (For e.g. a security pass card) or some knowledge only the user would know (For e.g. passwords). Such systems are usually expensive in terms of time and resources to maintain and expand its usage. The most critical flaw of these systems is that since they do not use any inherent characteristics or attributes of the individual user, they are unable to differentiate between an authorized personnel and an impostor who have fraudulently come to possess the token or knowledge (Such as stolen credit card or lost password). As such, these problems have led to system developers and researchers to explore into alternative solutions, and thus the intensified research on biometrie identification and authentication systems.
Following this initial foray into biometrie research, several forms of biometrie systems based on different physiological or behavioral characteristics have been developed. The first commercial system, Identimat was developed in the 1970s [7]. The system was based on the measurement of the shape of the hand and the lengths of the fingers as...