Abstract
A contour-tracing technique described in an earlier paper [9] was used along with monogram, bigram, and trigram contextual constraints to recognize handprinted characters. Error probabilities decreased by factors ranging from two to four over those which resulted when contextual constraints were ignored. A simple technique for searching over only the most probable bigrams and trigrams was used to significantly reduce the computation without reducing the recognition accuracy.
Original language | English (US) |
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Pages (from-to) | 1096-1099 |
Number of pages | 4 |
Journal | IEEE Transactions on Computers |
Volume | C-19 |
Issue number | 11 |
DOIs | |
State | Published - Nov 1970 |
Keywords
- Block decoding
- character recognition
- contextual constraints
- contour analysis
- handprinted characters
- limited-data experiments
- suboptimum classification
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics