A New Point Pattern Matching Method for Palmprint

摘要

Point pattern matching is an important topic in the field of computer vision and pattern recognition. Currently most palmprints automatic recognition methods are only suitable for the online palmprints or full palmprints. In the practical applications, it have to use high-quality matching method to deal with the full and part palmprints, online and off-line palmprints, different quality of images, and massive samples. To achieve the accurate matching and meet the requirements, this paper proposes a multi-phases point pattern matching method based on both of the local structure and global feature. This method designs a reasonable score mechanism to distinguish the reliability of the candidates. The test on the speed and accuracy shows that the performance of this robust method which can meet the requirements of the practical applications is satisfactory.