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The deduction of the fingerprint singular points is the most challenging task, it has been used for fingerprint classification and as reference points for minutiae matching and alignment. In this paper, a novel algorithm is proposed for singular points detection, which is based on the orientation reliability. The algorithm starts by enhancing the fingerprint image using the Gabor filter, followed...
The importance of high precision matching in fingerprint cannot be over-emphasized. This paper presents a novel fingerprint verification algorithm which improves matching accuracy by overcoming the shortcomings of poor image quality. The proposed method involves determination of a singular point using orientation field reliability, extraction of a square-sub-image (SSI); 129×129 pixels, statistical...
In this paper, we have statistically analyzed biometric-fingerprint images for personal identification. A sub-image of 129 × 129 was extracted from the original image and transformed into a co-occurrence matrix. Four different type of relative position distances were used to generate the matrices. The results have been analyzed by the Program for Rate Estimation and Statistical Summaries (PRESS)....
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