Signal processing for biometric systems

Anil K. Jain, Rama Chellappa, Stark C. Draper, Naser Memon, P. Jonathon Phillips, Avetro Vetro

Research output: Contribution to journalArticlepeer-review

Abstract

In the IEEE Signal Processing Magazine forum, members bring forth their insights regarding biometric security, privacy, and multibiometric and fusion techniques. The technologies available are anatomical recognition including fingerprint, face, iris, hand geometry, ear palmprint and behavioral such as signature, gait, and keystroke dynamics. Biometrics will play an integral part of everyday lives specially in the field of security, military, and law enforcement. Biometric systems offer greater security and convenience than traditional methods of personal recognition, gives users greater convenience while maintaining accuracy and ensures that the user is present at the point and time of recognition. It is hoped that biometrics would offer a wider application that may include personal biometric information systems for mobile Web-enabled cell phones, and keyless access to a given space.

Original languageEnglish (US)
Pages (from-to)146-152
Number of pages7
JournalIEEE Signal Processing Magazine
Volume24
Issue number6
DOIs
StatePublished - Nov 2007

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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