Make Palm Print Matching Mobile

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.