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Personal Identification from Lip-Print Features using a Statistical Model

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 55 - Number 13
Year of Publication: 2012
Authors:
Saptarshi Bhattacharjee
S Arunkumar
Samir Kumar Bandyopadhyay
10.5120/8817-2801

Saptarshi Bhattacharjee, S Arunkumar and Samir Kumar Bandyopadhyay. Article: Personal Identification from Lip-Print Features using a Statistical Model. International Journal of Computer Applications 55(13):30-34, October 2012. Full text available. BibTeX

@article{key:article,
	author = {Saptarshi Bhattacharjee and S Arunkumar and Samir Kumar Bandyopadhyay},
	title = {Article: Personal Identification from Lip-Print Features using a Statistical Model},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {55},
	number = {13},
	pages = {30-34},
	month = {October},
	note = {Full text available}
}

Abstract

This paper presents a novel approach towards identification of human beings from the statistical analysis of their lip prints. Lip features are extracted by studying the spatial orientations of the grooves present in lip prints of individuals using standard edge detection techniques. Horizontal, vertical and diagonal groove features are analysed using connected-component analysis to generate the region-specific edge datasets. Comparison between test and reference sample datasets against a threshold value to define a match yield satisfactory results. FAR, FRR and ROC metrics have been used to gauge the performance of the algorithm for real-world deployment in unimodal and multimodal biometric verification systems.

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