Fingerprint Classification System using Graphical Approach

Shalini, P R and Bijur, Gururaj (2011) Fingerprint Classification System using Graphical Approach. In: International Conference on Computer Architecture, Networking and Applications, 7 and 8 January 2011, NMAM Institute of Technology,Nitte.

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Using efficient classification methods is necessary for automatic fingerprint recognition system. This paper introduces a new structural approach to fingerprint classification by using the directional image of fingerprints to increase the number of subclasses. In this method, the directional image of fingerprints is segmented into regions consisting of pixels with the same direction. Afterwards a super graph to block segmented image including prominent information is formed. Ultimately we apply a matching technique to compare obtained graph with the model graphs in order to classify fingerprints by using cost function. Increasing the number of subclasses with acceptable accuracy in classification and faster processing in fingerprints recognition, makes this classification system superior .

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Ridge Orientation, Harr filter, Prewitt filter , Fingerprint Corepoint, Directional image, Super graph, Classification
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 10 Jan 2014 04:48
Last Modified: 10 Jan 2014 06:20

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