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Electrical Engineering >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/2074/1940
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Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Dilip Kumar | - |
| date.accessioned | 2006-07-03T05:32:15Z | - |
| date.available | 2006-07-03T05:32:15Z | - |
| date.issued | 1991 | - |
| identifier.citation | Computer, Communication and Control Systems, 2, 229 - 237p. | en |
| identifier.uri | http://eprint.iitd.ac.in/dspace/handle/2074/1940 | - |
| description.abstract | In this paper, a system for recognizing hand written Indian Devnagiri script has been proposed. This system uses an AI approach to integrate information from diverse sources, It has three levels of abstraction low medium and high. At each level of abstraction, knowladge appropriate to that level is used to identy the components of the higher level concept,At low level of abstraction, a given document is segmented into components at the medium level features are extracted from the segment, and at the high level segments are reconized with the help of available contextual information. To deal with imprecise information a new approach based on the fuzzy logic concept has been suggested. | en |
| format.extent | 119002 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | en |
| subject | abstraction low | en |
| subject | contextual information | en |
| title | AI approach to hand written devnagiri script recognition | en |
| type | Article | en |
| Appears in Collections: | Electrical Engineering
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Files in This Item:
| File |
Description |
Size | Format |
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| kumarapp1991.pdf | | 116Kb | Adobe PDF | View/Open |
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