Feature Extraction of Seal Imprint Based on the Double-Density Dual-Tree DWT
نویسندگان
چکیده
The most important problem on seal imprint verification is to extract the imprint feature, which is independent upon varying conditions. This paper proposes a new method to extract the feature of seal imprint using the doubledensity dual-tree DWT due to its good directional selectivity, approximate shift invariance and computational efficiency properties. 16 different directions information is obtained as a seal imprint image transforms by using doubledensity dual-tree DWT. Experimental results show that their directional behaviors are much different, although the frequency distributions of true seals are similar to false seals’. This method is stable and computationally efficient for seal imprint.
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