Rotation-invariant fingerprint matching using radon and DCT

被引：0
作者：
Sangita Bharkad
Manesh Kokare
机构：
[1] Government College of Engineering,Department of Electronics and Telecommunication
来源：
Sādhanā | 2017年 / 42卷
关键词：
Biometrics; radon transform; discrete cosine transform; feature extraction; similarity measures;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：2025 / 2039
页数：14
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