International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 6 |
Year of Publication: 2013 |
Authors: Muzhir Shaban Al-ani, Wasan M. Al-aloosi |
10.5120/11849-7598 |
Muzhir Shaban Al-ani, Wasan M. Al-aloosi . Biometrics Fingerprint Recognition using Discrete Cosine Transform (DCT). International Journal of Computer Applications. 69, 6 ( May 2013), 44-48. DOI=10.5120/11849-7598
Biometric systems based on the fingerprint recognition are considered one of the most important identification techniques. It is a successful way to determine the identity of the person that cannot be faked or stolen easily. This study aims to identify fingerprint images through several steps and extract the features based on DCT technique. The fingerprint image is divided into sub-blocks and allows evaluating the statistical features from the DCT Coefficients . The matching process is implemented using the correlation between fingerprint images. The obtained results include an efficient recognition using DCT. These programs are implemented via MATLAB environment.