Key points are not available for this paper at this time.
In this paper, we have studied the following biometric identification of a person by fingerprints. The methodology of the experimental studies is considered, the process of processing the results of identification is described. This paper develops a system of human recognition by fingerprints. The recognition system is designed for data storage, further processing, identification and display of fingerprint images. FPM10A scanner and Arduino microcontroller are used for biometric human identification by fingerprints. The paper considers the Distinguishing features of finger papillary patterns by their structure. Fingerprint matching results with different rotation through the scanner. The article deals with image processing algorithms for biometric identification by fingerprints. Distinguishing features of finger papillary patterns by their structure were investigated, considering different pressures, velocities, directions, ambient temperatures, humidity, etc. levels result in different images. Thanks to various algorithms for Digital image processing and analysis, represented by the SIFT and SURF descriptors, allows for quick characterization of each image. We used a photographic database obtained from public sources – Fingerprint Verification Competition 2004 (FVC2004). As a result, the graphical representation as well as the number of matching keypoints by fingerprints were investigated. The search for key points is performed using the Hesse matrix. The determinant of the Hesse matrix (Hessian) is maximal at the point where the change in luminance gradient is maximum. Fingerprints were acquired using the “Cross Match V300” optical sensor. In the experiment, the software developed system is invariant to image rotations.
Shormanov et al. (Fri,) studied this question.
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