Biometric authentication from low resolution hand images using radon transform

Biometric authentication refers to the automatic verification of a person's identity from physiological or behavioral characteristics presented by him or her. In this paper an authentication scheme from hand images is presented. Instead of dealing with hand measurements, typically termed as `ha...

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Bibliographic Details
Published in2009 12th International Conference on Computer and Information Technology pp. 587 - 592
Main Authors Mostayed, A., Kabir, M.E., Khan, S.Z., Mazumder, M.M.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Authentication
Biometric Authentication
Biometrics
Error analysis
Fingerprint recognition
Fingers
Geometry
Hand Geometry
Humans
Image resolution
Morphological Image Processing
Radon Transform
Shape measurement
Testing
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ISBN9781424462810
1424462819
DOI10.1109/ICCIT.2009.5407305

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Summary:Biometric authentication refers to the automatic verification of a person's identity from physiological or behavioral characteristics presented by him or her. In this paper an authentication scheme from hand images is presented. Instead of dealing with hand measurements, typically termed as `hand geometry', this method verifies with entire hand shape. Peg free and position invariant features are calculated using Radon Transform. Low resolution hand images captured by a document scanner are processed to extract feature vectors. The proposed scheme is tested on a data set of 136 images with simple Euclidian norm based match score. The method attained an Equal Error Rate (EER) of 5.1%.
ISBN:9781424462810
1424462819
DOI:10.1109/ICCIT.2009.5407305