Abstract— Fingerprint recognition is always the key issue in intelligent technology and information security. Feature Extraction is a critical step in the recognition of fingerprint images. The performance of fingerprint feature extraction and matching processes decreases when handling poor-quality images. In this paper, we use a set of local ridge attributes and explain their effect on recognition performance in comparison with the case of using a combination of the local ridge attributes, minutia, and pores. The system has been tested experimentally using a database of 160 low quality fingerprint images. The test results indicated good system ability to signify low-quality fingerprint images even through with existence of partial loss in fingerprint images.
تاريخ النشر
01/04/2013
الناشر
International Journal of Scientific & Engineering Research
ميلا غازي عبد الحليم | Mela G. Abdul-Haleem | 5015