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Quality Prediction in Fingerprint Compression
Abstract— A new algorithm for fingerprint compression based on sparse representation is introduced. At first, dictionary is constructed by sparse combination of set of fingerprint patches. Designing dictionaries can be done by either selecting one from a prespecified set or adapting a dictionary to a set of training signals. In this paper, we use K-SVD algorithm to construct dictionary. After computation of dictionary, the image gets quantized, filtered and encoded. The resultant image obtained may be of three qualities: Good, Bad and Ugly (GBU problem). In this paper, we overcome the GBU problem by prediction the quality of image.
Index Terms— Compression, DCT, DWT, Fingerprint, Histogram, K-SVD, Sparse representation
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International Journal for Trends in Technology & Engineering © 2015 IJTET JOURNAL