An Image Understanding System Using Attributed Symbolic Representation and Inexact Graph-Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Pattern Description and Generation Method of Structural Characters
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recognition of Printed Characters of Any Font and Size
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some Parallel Thinning Algorithms for Digital Pictures
Journal of the ACM (JACM)
Digital Picture Processing
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The recognition of Korean characters by a syntactic method is considered. Korean characters are composed of phonetic symbols in two dimensions and contain very little redundancy. In addition, the phonetic symbols in each character are different in shape and number depending on how they are composed. Thus, attribute information is important. A Korean character recognition algorithm based on an attribute-dependent programmed grammar is presented. The preprocessing and primitive extraction algorithm is also described. The algorithm was implemented and tested with more than 9600 Korean characters in pages randomly selected from children's story books. The algorithm based on the attribute-dependent programmed grammar recognized characters reasonably quickly, with more than 95.1% accuracy.