| Presentation | 2019-03-17 Classification of Hand-Written and Computer-Generated Texts Using Distribution of Patch-Wise Character Style Features Naoki Hamasaki, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, there have been proposed several methods for generating clone images of handwritten texts resembling a target writer’s actual handwriting, which could be exploited for document forgery. To cope with this problem, in this paper, we propose a method for discriminating computer-generated texts (CGT) from actual hand-written texts (HWT). The proposed method first divides an input text image into several patches and extract a character style feature from each patch. Then we compute the distribution of the features, which is input to a classifier that discriminates between HWT and CGT. In our experiments, the proposed method achieved more than 96% of classification accuracy, which demonstrates the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | hand-written text / computer-generated text / character style features / font estimation |
| Paper # | BioX2018-32,PRMU2018-136 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
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| Conference Date | 2019/3/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Classification of Hand-Written and Computer-Generated Texts Using Distribution of Patch-Wise Character Style Features |
| Sub Title (in English) | |
| Keyword(1) | hand-written text |
| Keyword(2) | computer-generated text |
| Keyword(3) | character style features |
| Keyword(4) | font estimation |
| 1st Author's Name | Naoki Hamasaki |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Kazuaki Nakamura |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Naoko Nitta |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| 4th Author's Name | Noboru Babaguchi |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2019-03-17 |
| Paper # | BioX2018-32,PRMU2018-136 |
| Volume (vol) | vol.118 |
| Number (no) | BioX-512,PRMU-513 |
| Page | pp.pp.19-24(BioX), pp.19-24(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |