At present, many fingerprint recognition techniques are applied to public infrastructures. Their
targets are mainly for normal-sized fingerprints. However, with the rise of small-sized fingerprint
sensors, the acquired partial fingerprints containing only part of information of the finger, which
causes 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 the
fingerprint enrollment to increase the robustness of the fingerprint feature database. The
comparisons of the accuracy of the recognition among this algorithm, the minutia-based
fingerprint recognition algorithm and the fingerprint recognition algorithm based on image
similarity, that shows the first performs well. Moreover, this paper proposes an algorithm to
evaluate 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.