出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：At present, many fingerprint recognition techniques are applied to public infrastructures. Theirtargets are mainly for normal-sized fingerprints. However, with the rise of small-sized fingerprintsensors, the acquired partial fingerprints containing only part of information of the finger, whichcauses that many researchers change their research directions to partial fingerprint recognition.This paper proposes a SIFT-based pseudo-splicing partial fingerprint recognition algorithm.This algorithm uses the SIFT algorithm to pseudo-splice the input fingerprints during thefingerprint enrollment to increase the robustness of the fingerprint feature database. Thecomparisons of the accuracy of the recognition among this algorithm, the minutia-basedfingerprint recognition algorithm and the fingerprint recognition algorithm based on imagesimilarity, that shows the first performs well. Moreover, this paper proposes an algorithm toevaluate the quality of partial finger print by calculating the invalid blocks of fingerprint image.The result shows that the evaluation algorithm can effectively filter out low-quality fingerprints.
