The Fundamentals of Unimodal Palmprint Authentication based on a Biometric System: A Review

Abstract

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.

Novel Optimization of Identified Palm Geometry Using Image Segmentation

“…• 11K hands dataset [32] • IITD hands dataset [34] The first dataset consists of hand images of more than a hundred subjects while this dataset consists of multiple poses of hands of each subject. The dataset also aggregates metadata and further stores them.…”

“…These two are chosen since the method of acquiring the images is entirely different in both of them. For an effective analysis of the study, the proposed scheme has been compared with existing approaches discussed in the work of [32] viz. i) Conventional Siamese Neural Network and ii) CNN based Latent Dirichlet Algorithm (LDA).…”

“…Support vector machine has been used for classifying the extracted feature for hand images. The review carried out by Hussein et al [32] has briefed about authentication techniques used for palmprint recognition systems in biometrics.…”

“…Any image processing algorithm can perform better with image masking. The proposed system also hypothesize that the masking operation will significantly contribute to a better outcome since the preprocessing system presented in our prior version of model [33] is anticipated to work well only with the 11K hands dataset [32]. From the viewpoint of image processing, the concept of masking is utilized for limiting an arithmetic operator as well as point to hand area that is defined by the mask.…”

Palmprint Recognition Based on Edge Detection Features and Convolutional Neural Network

“…The biometric has attracted researchers' significant attention because the biometric system has grown as a reliable method for human authentication [1]. A biometric system is a technology that uses information about a person or another biological organism to identify that person [2]. The biometrics system study has moved to other scenarios, such as mobile devices authentication or internet-based systems, in line with novel deployment platforms of human-computer technology [3].…”