Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System
IEEE Transactions on Computers
A Distance Criterion for Figural Pattern Recognition
IEEE Transactions on Computers
IEEE Transactions on Computers
On the Measurement of Curvature in a Quantized Environment
IEEE Transactions on Computers
Property Encoding: Application in Binary Picture Encoding and Boundary Following
IEEE Transactions on Computers
Experimental study of human factors for a handwritten numeral reader
IBM Journal of Research and Development
Some experiments in spoken word recognition
IBM Journal of Research and Development
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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%.