Presentation | 2000/2/22 Holistic Word Recognition Based on Composition of Character Features Yoshinobu Hotta, Hiroaki Takebe, Satoshi Naoi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Holistic word matching is effective for handwritten address recognition, because it reduces segmentation errors. But the fact that its dictionary size is proportional to the number of words, occurs capacity problem. In this paper, we propose a new word recognition method in which holistic word matching is executed without word feature dictionary. In our method, character feature dictionary is only needed and word feature dictionary is composed of character features. Experimental results show that proposed method can drastically reduce dictionary size although recognition rate drops from 90.6% to 87.4% comparing to conventional method which utilize word feature dictionary by extracting word features from word images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Handwritten words / Feature composition / Word recognition / Multi-template |
Paper # | PRMU99-239 |
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Committee | PRMU |
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Conference Date | 2000/2/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Holistic Word Recognition Based on Composition of Character Features |
Sub Title (in English) | |
Keyword(1) | Handwritten words |
Keyword(2) | Feature composition |
Keyword(3) | Word recognition |
Keyword(4) | Multi-template |
1st Author's Name | Yoshinobu Hotta |
1st Author's Affiliation | FUJITSU LABORATORIES LTD.() |
2nd Author's Name | Hiroaki Takebe |
2nd Author's Affiliation | FUJITSU LABORATORIES LTD. |
3rd Author's Name | Satoshi Naoi |
3rd Author's Affiliation | FUJITSU LABORATORIES LTD. |
Date | 2000/2/22 |
Paper # | PRMU99-239 |
Volume (vol) | vol.99 |
Number (no) | 649 |
Page | pp.pp.- |
#Pages | 8 |
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