Personal Identification from Lip-Print Features using a Statistical Model
نویسندگان
چکیده
منابع مشابه
Personal Identification from Lip-Print Features using a Statistical Model
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 th...
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Electronics Letters vol. 45, no. 20, September 2009 Personal Identification using Finger Knuckle Orientation Features Ajay Kumar, Yingbo Zhou This paper proposes a novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform. The feasibility of this approach is rigorously evaluated on a publical...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8817-2801