A Reconsideration of schemes for Fingerprint Identification

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Shaleen Bhatnagar
Sarika Khandelwal, Neha Jain


Perhaps the most important application of accurate personal identification is securing limited access systems from malicious
attacks. Among all the presently employed biometric techniques, fingerprint identification systems have received the most attention due to
the long history of fingerprints and their extensive use in forensics. Fingerprint matching is the process used to determine whether two sets
of fingerprint ridge detail come from the same finger. There exist multiple algorithms that do fingerprint matching in many different ways.
Some methods involve matching minutiae points between the two images, while others look for similarities in the bigger structure of the
fingerprint. Conventional security systems used either knowledge based methods (passwords or PIN), and token-based methods (passport,
driver license, ID card) and were prone to fraud because PIN numbers could be forgotten or hacked and the tokens could be lost, duplicated
or stolen. To address the need for robust, reliable, and foolproof personal identification, authentication systems will necessarily require a
biometric component. This paper gives a brief review in the area of fingerprint identification. The aim of this paper is to review various
latest minutiae based, correlation based and other global, local methods for fingerprint matching and status of success of concurrent
methods with its advantage and disadvantage.

Keywords: Fingerprint identification techniques, biometric, Minutiae based technique, correlation based technique.


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