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Chinese-Seal-Print Recognition by Color Image Dilating, Extraction, and Gray Scale Image Geometry Comparison

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Abstract

This research uses the morphology technique to extract the Chinese-seal-print-images. The algorithm developed in this research can find the precise locations of the Chinese-seal-print-images. After finding the positions of the Chinese-seal-print-images. Image rotating, image shifting, and image interpolating techniques are used to align different Chinese-seal-print-images to the same position for comparison. Image subtraction is used to exam the difference of two Chinese-seal-print-images. The extracted Chinese-seal-print-images contain many useful geometry features. By using these geometry features, one can classify different Chinese-seal-print-images.

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Authors and Affiliations

  1. Department of Industrial Engineering and Technology Management, Da Yeh University, 112 Shan-Jeau Road, Da-Tsuen, Chang-Hua, Taiwan, 51505

    Ching-Liang Su

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  1. Ching-Liang Su
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Correspondence to Ching-Liang Su.

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Su, CL. Chinese-Seal-Print Recognition by Color Image Dilating, Extraction, and Gray Scale Image Geometry Comparison. J Intell Robot Syst 44, 349–359 (2005). https://doi.org/10.1007/s10846-005-9001-9

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  • DOI: https://doi.org/10.1007/s10846-005-9001-9

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