PC-Based Software for Optical Character Recognition
TBMG-29463
09/01/2003
- Content
PC-based machine vision systems are becoming more powerful as the individual components that comprise them increase in performance. This has allowed for more complex algorithms to be developed that can learn, see, identify, and guide. Learning algorithms for machine vision are essential for many of the applications that require inspection and guidance. These algorithms typically require some type of learning step before the actual inspection can take place. Some of the algorithms that fall into this category include Optical Character Recognition (OCR), pattern matching, and color matching, as previously reported in "PC-Based Software for Pattern, Color, and Color Pattern Matching", Photonics Tech Briefs, NASA Tech Briefs Vol. 27, No. 6 (June 2003), page 10a. Many industries rely on these algorithms to speed-up manufacturing, increase yields, and improve quality.
- Citation
- "PC-Based Software for Optical Character Recognition," Mobility Engineering, September 1, 2003.