The fundamentals of unimodal palmprint authentication based on a biometric system: A review

Biometric system can be defined as the automated method of identifying or authenticating the identity of a living person based on physiological or behavioral traits. Palmprint biometric-based authentication has gained considerable attention in recent years. Globally, enterprises have been exploring biometric authorization for some time, for the purpose of security, payment processing, law enforcement CCTV systems, and even access to offices, buildings, and gyms via the entry doors. Palmprint biometric system can be divided into unimodal and multimodal. This paper will investigate the biometric system and provide a detailed overview of the palmprint technology with existing recognition approaches. Finally, we introduce a review of previous works based on a unimodal palmprint system using different databases

Shape feature extraction methods based pattern recognition: a survey

The most visible feature that is more important to an image is the shape. Shape representation is a difficult process and requires many techniques, feature extraction is taken as the most significant point for shape representation. However, the researchers' attention is focused on creating an accurate shape descriptor which used to recognize the pattern, the accuracy of the recognition system depends on the accuracy of the features extracted from the images. In this paper, we introduce in detailed out the basic techniques that used in extracting the shape descriptors, classifying these techniques and determining their respective advantages and disadvantages