Historical review of OCR research and development
- 1 July 1992
- journal article
- review article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Proceedings of the IEEE
- Vol. 80 (7) , 1029-1058
- https://doi.org/10.1109/5.156468
Abstract
Research and development of OCR systems are considered from a historical point of view. The historical development of commercial systems is included. Both template matching and structure analysis approaches to R&D are considered. It is noted that the two approaches are coming closer and tending to merge. Commercial products are divided into three generations, for each of which some representative OCR systems are chosen and described in some detail. Some comments are made on recent techniques applied to OCR, such as expert systems and neural networks, and some open problems are indicated. The authors' views and hopes regarding future trends are presented.Keywords
This publication has 70 references indexed in Scilit:
- A blackboard-based approach to handwritten ZIP code recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Handwritten alphanumeric character recognition by the neocognitronIEEE Transactions on Neural Networks, 1991
- Feature identification for hybrid structural/statistical pattern classificationComputer Vision, Graphics, and Image Processing, 1988
- Handprinted symbol recognition systemPattern Recognition, 1988
- Theory of edge detectionProceedings of the Royal Society of London. B. Biological Sciences, 1980
- The IBM 1975 Optical Page Reader Part III: Recognition Logic DevelopmentIBM Journal of Research and Development, 1968
- The IBM 1975 Optical Page Reader Part II: Video Thresholding SystemIBM Journal of Research and Development, 1968
- The IBM 1975 Optical Page Reader Part I: System DesignIBM Journal of Research and Development, 1968
- Experiments in the recognition of hand-printed text, part IPublished by Association for Computing Machinery (ACM) ,1968
- Computer-Automated Design of Multifont Print Recognition LogicIBM Journal of Research and Development, 1963