Prompt Extraction of Effective Features for Character Recognition

摘要

For a real time character recognition system, we suggest a prompt and effective feature extracting method. Boundary pixels are defined in terms of the degree in classification, and those boundary pixels are considered selectively in extracting features. The proposed method was tested by a handwritten character recognition and a car plate number recognition. The experiments show that the proposed method is effective in recognition compared to several comparative features. And an overall reduction of execution time was achieved by completing all the required computations in a single image scan.