Biometric authentication from low resolution hand images using radon transform

• Published in: 2009 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
• Language: English
• 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
• ISBN: 9781424462810; 1424462819
• DOI: 10.1109/ICCIT.2009.5407305

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%.