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• MODERN AVAILABLE PALMPRINT DATABASES: A REVIEW

  Snehal S. Datwase, R.R. Deshmukh, Rohit S. Gupta

  27-37

  2025-07-31

  Abstract ▼

  The palm print is a unique and very useful biometric. A lot of research has been done on this
  topic over the past few decades. Various algorithms and systems have been developed and successfully
  implemented. Since this method does not provide more advanced information for personality
  recognition, multispectral or hyperspectral imaging and handprint recognition could be a
  potential answer to these systems. Biometric technologies have been widely used in the security
  industry for authentication and identification over the past few years. An improved recognition
  system is required to improve accuracy and speed. This article reviews some modern handprint
  databases 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 most
  benefits. The PolyU-IITD non-contact palm image database compiled with a handheld camera
  includes residents of India and China. The database of IIT Touchless Palmprints is sourced from
  Delhi India students and teachers and consists of complete hand images. The database of
  hyperspectral fingerprints created by the Hong Kong Polytechnic University was collected in the Biometric Research Laboratory Department using Meadowlark liquid crystal filters. The Multispectral
  Fingerprint Database, Hyperspectral Database was compiled by Chinese research teams
  of scientists. The polyU fingerprint database was collected from 193 people and contains
  386 palms. The Chinese Academy of Sciences has developed the CASIA handprint database with
  its 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 current
  research in this area is also presented. The advantages of hyperspectral images compared to multispectral
  images are noted, hyperspectral images of palm prints are very difficult to fake