Evon C. Greanias

The recognition of handwritten numerals by contour analysis

A character recognition system has been developed for the recognition of handwritten numerals. This system uses a logically controlled cathode ray tube scanner to generate basic measurements that characterize significant features of the numeral shapes. A contour-follower procedure is used to control the scanner. In addition, special scanner subroutines initiated by feedback from the recognition logic are utilized. Character shape data are generated in a sequential form, which can be analyzed for recognition with an easily realizable logic. An experimental model has been built that recognized 99.3% of numerals written by 45 subjects after 30 minutes of training. The error rate ftohre se characters was 0.11%. The rejected character ratew as 0.59%.

An on-line Chinese character recognition system

This paper describes an experimental system for the on-line recognition of handwritten Chinese characters. Constituent shapes of the characters are recognized as they are formed on an electronic tablet. The 72 constituent shapes can define a very large set of Chinese characters. The implementation described recognizes more than 2200 Chinese characters. More symbols can be added with relative ease. Experimental results are given for two writer populations.