Title :
Fingerprint images enhancement using diffusion tensor
Author :
Romdhane, Feriel ; Benzarti, Faouzi ; Amiri, Hamid
Author_Institution :
Signal, Image & Inf. Technol. Lab. (SITI), ENIT, Tunis, Tunisia
Abstract :
Fingerprints are the oldest and most widely used form of biometric identification. However, their image contrast is poor due to skin conditions and application of incorrect finger pressure. Fingerprint enhancement is necessary to ensure the performance and robustness of the algorithms for fingerprint recognition. In this work, we present a fast fingerprint enhancement method based on the diffusion tensor which allows a better performance than a simple gradient. The performance and efficiency of the algorithm are estimated by calculating various quality metrics and compared with the advanced met.
Keywords :
fingerprint identification; image enhancement; tensors; biometric identification; diffusion tensor; finger pressure; fingerprint image enhancement; fingerprint recognition; image contrast; quality metrics; skin condition; Coherence; Fingerprint recognition; Mathematical model; PSNR; Smoothing methods; Tensile stress; Fingerprint; Image enhancement; Tensor Diffusion;
Conference_Titel :
Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6302-0
DOI :
10.1109/ICEESA.2013.6578465