An Autonomous Reading Machine
- 1 May 1968
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-17 (5), 492-503
- https://doi.org/10.1109/tc.1968.226928
Abstract
Abstract—An unconventional approach to character recognition is developed. The resulting system is based solely on the statistical properties of the language, therefore it can read printed text with no previous training or a priori information about the structure of the characters. The known letter-pair frequencies of the language are used to identify the printed symbols in the following manner.Keywords
This publication has 11 references indexed in Scilit:
- An Experimental Investigation of a Mixed-Font Print Recognition SystemIEEE Transactions on Electronic Computers, 1966
- Recognition of Printed Chinese CharactersIEEE Transactions on Electronic Computers, 1966
- Techniques for replacing characters that are garbled on inputPublished by Association for Computing Machinery (ACM) ,1966
- Nonsupervised adaptive signal detection and pattern recognitionInformation and Control, 1964
- An Optical Character ScannerOptical Engineering, 1964
- On Some Clustering TechniquesIBM Journal of Research and Development, 1964
- Hierarchical Grouping to Optimize an Objective FunctionJournal of the American Statistical Association, 1963
- Computer-Automated Design of Multifont Print Recognition LogicIBM Journal of Research and Development, 1963
- A “Logical Pattern” Recognition ProgramIBM Journal of Research and Development, 1962
- On Grouping for Maximum HomogeneityJournal of the American Statistical Association, 1958