СОВРЕМЕННЫЕ ДОСТУПНЫЕ БАЗЫ ДАННЫХ ОТПЕЧАТКОВ ЛАДОНИ: ОБЗОР

Abstract

The palm print is a unique and very useful biometric. A lot of research has been done on thistopic over the past few decades. Various algorithms and systems have been developed and successfullyimplemented. Since this method does not provide more advanced information for personalityrecognition, multispectral or hyperspectral imaging and handprint recognition could be apotential answer to these systems. Biometric technologies have been widely used in the securityindustry for authentication and identification over the past few years. An improved recognitionsystem is required to improve accuracy and speed. This article reviews some modern handprintdatabases and describes the methods used and their accuracy. Face, fingerprint, iris, palm print,hands are physiological biometric data. Of all biometrics, physiological biometrics offers the mostbenefits. The PolyU-IITD non-contact palm image database compiled with a handheld cameraincludes residents of India and China. The database of IIT Touchless Palmprints is sourced fromDelhi India students and teachers and consists of complete hand images. The database ofhyperspectral fingerprints created by the Hong Kong Polytechnic University was collected in the Biometric Research Laboratory Department using Meadowlark liquid crystal filters. The MultispectralFingerprint Database, Hyperspectral Database was compiled by Chinese research teamsof scientists. The polyU fingerprint database was collected from 193 people and contains386 palms. The Chinese Academy of Sciences has developed the CASIA handprint database withits own handprint recognition device. The XJTU fingerprint database is collected using iPhone 6S,HUAWEI mate8, LG G4, Samsung Galaxy Note5 and MI8 gadgets. A literature review of currentresearch in this area is also presented. The advantages of hyperspectral images compared to multispectralimages are noted, hyperspectral images of palm prints are very difficult to fake.