@Article{, title={Fingerprint Recognition Based on Gabor Features Extraction}, author={Saad O. Ajmi Al-Shuwaili and Kadhim H. Kuban Alibraheemi}, journal={Journal of Education for Pure Science مجلة التربية للعلوم الصرفة}, volume={10}, number={2}, pages={96-102}, year={2020}, abstract={In this paper, we present a novel algorithm to identify an individual person using fingerprint matching technique. We use fingerprint segmentation and Gabor filter to extract Gabor features from a finger image We use our fingerprint hash and Gabor filter to extract Gabor features from fingerprint image captured by the JPG image format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher and The work was carried out using an HP computer with specifications Core i7, Hard 500 GB and 4 GB RAM. using the language of Matlab 2013

} }