Presentation | 2013-12-13 A Study on Generation and Recognition of Dot Matrix Characters Koji ENDO, Wataru OHYAMA, Tetsushi WAKABAYASHI, Fumitaka KIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a camera-based OCR technique for dot-matrix characters which are widely used for printing information, such as expire date and production number, on products. The difficulty of recognition of dot-matrix character is due to variety of dot alignment and distance between dots even in the same character class. Furthermore, appearance of camera-captured dot-matrix character is easily changed when the characters are printed on rounded surface such as side of bottles. This appearance change sometimes affects the performance of recognition. In this report, we propose a generative learning method for dot-matrix characters. Generated dataset consists of camera captured actual dot-matrix characters, two types of dot-matrix character generated by our method and usual (non-dot-matrix) characters corrected for printed OCR. To address variety of character appearance due to characters are printed on round surface, three-dimensional rotation is applied on each character in the generated training dataset. We compared each condition of generating training dataset for recognition performance. In the experiment, grayscale gradient features and pseudo Bayes discriminant function are employed. Recognition accuracy on a dataset consists of 38 classes (2030 samples) actual camera-captured dot-matrix characters achieves 97.88%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | dot matrix character recognition / generative learning / 3d-rotation |
Paper # | PRMU2013-90 |
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Committee | PRMU |
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Conference Date | 2013/12/5(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) | A Study on Generation and Recognition of Dot Matrix Characters |
Sub Title (in English) | |
Keyword(1) | dot matrix character recognition |
Keyword(2) | generative learning |
Keyword(3) | 3d-rotation |
1st Author's Name | Koji ENDO |
1st Author's Affiliation | Information and Computer Science, Graduate School of Engineering, Mie University() |
2nd Author's Name | Wataru OHYAMA |
2nd Author's Affiliation | Information and Computer Science, Graduate School of Engineering, Mie University |
3rd Author's Name | Tetsushi WAKABAYASHI |
3rd Author's Affiliation | Information and Computer Science, Graduate School of Engineering, Mie University |
4th Author's Name | Fumitaka KIMURA |
4th Author's Affiliation | Information and Computer Science, Graduate School of Engineering, Mie University |
Date | 2013-12-13 |
Paper # | PRMU2013-90 |
Volume (vol) | vol.113 |
Number (no) | 346 |
Page | pp.pp.- |
#Pages | 5 |
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