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Processing the fingerprint image captured from the mobile phone camera is problematic. The addressed problem is such as degree of freedom, blurry, noisy and weak ridges-valleys images. In this paper, problem of blur assessment on fingerprint image is the main consent. In this regards, dataset of fingerprint image is collected from several subjects and different environment to obtain a clear and blur...
Core-point detection is a crucial task in fingerprint recognition systems. Existing fingerprint system that deals with a large-scale database is considering the core-point prior to extract robust features. Performances of various core-point detections are reported throughout the literature exclusively intended for scanner-based fingerprint image. Despite propose and evaluate novel core-point detection...
Nowadays, the mobile phones are becoming part of our daily life. They transformed from communication devices to personal computers. They are capable of storing personal information and connect to other applications where security is required. The need for securing the confidential information and the other application is increasing every day. Fingerprint authentication has been used in many different...
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...
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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