Abstract
This paper proposes a novel seal imprint verification method with difference image based statistical feature extraction and symbolic representation based classification. After several image processing procedures including seal imprint extraction and seal registration with the model seal imprint, the statistical feature was extracted from difference images for the pattern classification system of seal verification. Symbolic representation method which requires only genuine samples in the learning phase was used to classify genuine and fake seal imprints. We built up a seal imprint image database for training the seal verification algorithms and testing the proposed verification system. Experiments showed that the symbolic representation method was superior to traditional SVM classifier in this task. Experiments also showed that our statistical feature was very powerful for seal verification application.
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Wang, X., Chen, Y. (2011). A Novel Seal Imprint Verification Method Based on Analysis of Difference Images and Symbolic Representation. In: Sako, H., Franke, K.Y., Saitoh, S. (eds) Computational Forensics. IWCF 2010. Lecture Notes in Computer Science, vol 6540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19376-7_5
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DOI: https://doi.org/10.1007/978-3-642-19376-7_5
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