Property Encoding: Application in Binary Picture Encoding and Boundary Following
IEEE Transactions on Computers
The recognition of handwritten numerals by contour analysis
IBM Journal of Research and Development
| Hi-index | 14.98 |
The binary picture processing and recognizing stages of an optical character recognition (OCR) system have been designed using both flexibility of available microprocessors and speed of peripheral custom-designed integrated circuits. A dedicated large-scale integrated (LSI) processor performs edge detection and thinning of a 32 脳 24 digitized one-piece pattern. The output signal-a set of 3 bit vectors describing the skeletonized character contour-feeds a microprocessor which controls the character recognition algorithm including pattern segmentation, filtering, feature extraction, and classification decision. This low-cost equipment is especiaUy suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read. However, continously deformed patterns like carefully handprinted characters are recognized as well. A system reading speed of 100 characters/s (or 30 cm/s) can be achieved.