Abstract
In the quest to study human perception, the field of character recognition remains prominent. Research has progressed from early, cumbersome optical character readers used for the recognition of a limited set of individual characters to the present-day automatic recognition of handwritten cursive script. This paper attempts to clarify the fundamentals of character recognition, highlighting the processes involved in using a standard database for 'learning' character sets and also the standards and constraints imposed by researchers concerning the constitution of a valid character. A number of various feature extraction techniques which enable individual characters to be recognized are discussed and compared. © 1986.
| Original language | English |
|---|---|
| Pages (from-to) | 208-218 |
| Number of pages | 11 |
| Journal | Image and Vision Computing |
| Volume | 4 |
| Issue number | 4 |
| Publication status | Published - Nov 1986 |
Keywords
- feature extraction
- handwritten characters
- pattern recognition
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