Presentation | 2000/2/22 An Adaptive Threshold Method for Gray Scale Document Images Akira Murakata, Norikazu Onda, Shinji Ozawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Gray scale document image is less suitable for conventional binarization algorithm because of character struture when used for OCR. Digital camera image is difficult to binarize conventional binarization algorithm because of strong shading. Strong shading causes difficulty to decide threshold level, and character structure tend to make binarized character scratchy or blurred. This paper presents a model based adaptive binarization algorithm, which handles above problems. we assumed digitized binary image has not only two states (black and white) but also three states. They are Background, Transition and Character pixel. We attach importance to Transition pixels, and utilize gradient information from this area for first stage binarization. Finally, we examine the performance of this method on sets of character image for several types of fonts, and we found certain percentage of improvement in OCR results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Binarization / document image / digital camera / OCR |
Paper # | PRMU99-232 |
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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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Topics (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) | An Adaptive Threshold Method for Gray Scale Document Images |
Sub Title (in English) | |
Keyword(1) | Binarization |
Keyword(2) | document image |
Keyword(3) | digital camera |
Keyword(4) | OCR |
1st Author's Name | Akira Murakata |
1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
2nd Author's Name | Norikazu Onda |
2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
3rd Author's Name | Shinji Ozawa |
3rd Author's Affiliation | Faculty of Science and Technology, Keio University |
Date | 2000/2/22 |
Paper # | PRMU99-232 |
Volume (vol) | vol.99 |
Number (no) | 649 |
Page | pp.pp.- |
#Pages | 8 |
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