Presentation | 2003/3/7 Video Text Recognition Based on Category-Dependent Feature Extraction Using Feature Compensation Minoru MORI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When recognizing multiple fonts, geometric features, such as the directional information of strokes, are generally robust against deformation but are weak against degradation. This paper describes a category-dependent feature extraction method that uses a feature compensation technique to overcome this weakness. Our proposed method estimates the degree of degradation of an input pattern by comparing the input pattern and the template of each category. This estimation enables us to compensate the degradation in feature values. We apply the proposed method to the recognition of video text suffering from degradation and deformation. Recognition experiments using characters extracted from videos show that the proposed method is superior to the conventional alternatives in resisting degradation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | OCR / feature extraction / category-dependent / compensation / degradation / deformation |
Paper # | PRMU2002-246 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2003/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Video Text Recognition Based on Category-Dependent Feature Extraction Using Feature Compensation |
Sub Title (in English) | |
Keyword(1) | OCR |
Keyword(2) | feature extraction |
Keyword(3) | category-dependent |
Keyword(4) | compensation |
Keyword(5) | degradation |
Keyword(6) | deformation |
1st Author's Name | Minoru MORI |
1st Author's Affiliation | NTT Communication Science Laboratories, NTT Corporation() |
Date | 2003/3/7 |
Paper # | PRMU2002-246 |
Volume (vol) | vol.102 |
Number (no) | 708 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |