Abstract
Performance and computational complexity comparisons of various block-based fingerprint enhancement schemes are tested and reported in this literature. Enhancement performance is evaluated by comparing equal error rates, which obtained by a proposed fingerprint matching algorithm using local and global features. Various enhancement methods are tested; i.e. three types of spatial Gabor filtering, short-time Fourier transform filtering, and discrete cosine transform filtering. These enhancement schemes also tested with various databases such as FVC2000, FVC2002, and FVC2004. Finally, computational complexity of enhancement implementation is analyzed and concluded. © Springer-Verlag Berlin Heidelberg 2009.
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Jirachaweng, S., Leelasawassuk, T., & Areekul, V. (2009). Performance and computational complexity comparison of block-based fingerprint enhancement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 656–665). Springer Verlag. https://doi.org/10.1007/978-3-642-01793-3_67
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