Rotation-invariant fingerprint matching using radon and DCT

Sādhanā - Tập 42 - Trang 2025-2039 - 2017
Sangita Bharkad1, Manesh Kokare1
1Department of Electronics and Telecommunication, Government College of Engineering, Aurangabad, India

Tóm tắt

A new set of promising rotation-invariant features based on radon and discrete cosine transform (DCT) is proposed for fingerprint matching. The radon and DCT of a tiny area in the region of core point of fingerprint image is computed. In the proposed method only 34% DCT coefficients are used for feature extraction. Competency of this approach is tested on standard databases, namely FVC2002 and FVC2004. This approach provides 70% genuine acceptance rate (GAR) at ~0% false acceptance rate (FAR) and 95% GAR at 10% FAR on rotated and non-rotated databases, respectively. Experimental results prove that the proposed feature extraction approach is rotation invariant.

Tài liệu tham khảo

Bharkad S and Kokare M 2012 Rotated wavelet filter based fingerprint matching. Int. J. Pattern Recogn. Artif. Intell. 26(3): 1–21

Bharkad S and Kokare M 2011 Performance evaluation of distance metrics: application to fingerprint recognition. Int. J. Pattern Recogn. Artif. Intell. 25(6): 777–806