Personal Identification from Lip-Print Features using a Statistical Model
Saptarshi Bhattacharjee, S Arunkumar, Samir Kumar Bandyopadhyay · International Journal of Computer Applications · 2012
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 connectedcomponent 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.