Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms
BSB '08 Proceedings of the 3rd Brazilian symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Shape retrieval based on the relativity of chain codes
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
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The direction chain code has been widely used to encode the boundary lines for its simplicity and low storage requirement. One problem with the chain code is that it lacks of robustness to the rotation and scaling of the image content, which limited its use in image retrieval. In this paper we propose a novel shape descriptor called Minimize Sum Statistical Direction Code (MSSDC), which have the advantages of being invariant to the position and rotation of the image content. It is proportional to the image scaling. A new distance measure called Direction Entropy (DE) is presented to measure the similarity of shape information embedded in the MSSDC. Experiment demonstrates the efficiency of our proposed algorithm.