Draganov, Ivo R. and Popova, Antoaneta A. (2007) Comparative Analysis of Basic Self-Organizing Map and Neocognitron for Handwritten Character Recognition. In: "International Scientific Conference on Information, Communication and Energy Systems and Technologies ICEST" (24-27 June 2007) hosted in Ohrid, Macedonia, 2007, 24-27 June 2007, Ohrid, Macedonia.
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Abstract
In this paper we present a comparative analysis of the performance both as accuracy and time consumption of two
neural network classifiers for handwritten character recognition – a basic self organizing map and neocognitron proposed by Kohonen and Fukushima respectively. The results of our study are found useful for characters and pseudo-characters recognition as a certain stage of processing in a whole handwriting recognition system.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | character, pseudo-character, word, handwriting recognition, self-organizing map, neocognitron |
| Subjects: | Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Technical Sciences |
| Depositing User: | ICEST |
| Date Deposited: | 18 Mar 2020 17:13 |
| Last Modified: | 18 Mar 2020 17:13 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2698 |
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