REVIEW OF FINGERPRINT CLASSIFICATION METHODS BASED ON ALGORITHMIC FLOW

DIMPLE A. PAREKH¹*, REKHA VIG^2
1Department of Information Technology, MPSTME, Mumbai, India
²Department of Electronics and Telecommunications, MPSTME, Mumbai, India
* Corresponding Author : dimple.parekh@nmims.edu

Received : 03-02-2011     Accepted : 28-02-2011     Published : 15-12-2011
Volume : 2     Issue : 1       Pages : 20 - 23
J Biometrics 2.1 (2011):20-23

Fingerprints are the oldest and most widely used form of biometric identification. The fingerprint classification task consists of associating a given fingerprint to one of the existing classes already recognized in the literature. Automatic fingerprint identification system (AFIS) needs to access a large volume of data stored in the database for fingerprint identification. A search over all the records in the database takes a very long time, so the goal is to reduce the size of the search space by choosing an appropriate subset of database for search. Classifying a fingerprint images is a very difficult pattern recognition problem, due to the small interclass variability, the large intraclass variability. In this paper, we have proposed a sequence flow diagram which will improve the clarity on designing algorithm for fingerprint classification based on various features extracted from the fingerprint image. This paper also discusses in brief the ways in which the features are extracted from the image. Existing fingerprint classification methods are categorized the based on the features used as input for classification.

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