| Presentation | 2016-08-19 Generalized Combined Segmentation-Verification for Multi-Script Signatures using Random-Impostor Training Keigo Matsuda, Wataru Ohyama, Tetsushi Wakabayashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose an improvement to the method of combined segmentation verification for multi-script signature verification. Our proposed multi-script signature verification method uses a training dataset that contains no skilled-forgery signatures.This method uses the genuine signatures of third persons as training samples of the forgery class for SVM training.We also introduce an effective sampling method that uses a one-class SVM and k-means clustering to reduce the sample number for the training dataset.The results of evaluation experiments using the SigComp multi-script signature dataset show that the performance of the proposed method is competitive with that of the method trained with a skilled-forgery dataset for multi-script signature verification. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Signature verification / Combined segmentation verification / SVM / Random-forgery training |
| Paper # | BioX2016-14 |
| Date of Issue | 2016-08-11 (BioX) |
| Conference Information | |
| Committee | BioX |
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| Conference Date | 2016/8/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Biometrics, etc. |
| Chair | Masakatsu Nishigaki(Shizuoka Univ.) |
| Vice Chair | Akira Otsuka(AIST) / Hiroshi Takano(Toyama Pref. Univ.) |
| Secretary | Akira Otsuka(NEC) / Hiroshi Takano(AIST) |
| Assistant | Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Takahiro Aoki(Fujitsu Labs.) |
| Paper Information | |
| Registration To | 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) | Generalized Combined Segmentation-Verification for Multi-Script Signatures using Random-Impostor Training |
| Sub Title (in English) | |
| Keyword(1) | Signature verification |
| Keyword(2) | Combined segmentation verification |
| Keyword(3) | SVM |
| Keyword(4) | Random-forgery training |
| 1st Author's Name | Keigo Matsuda |
| 1st Author's Affiliation | Mie University(Mie Univ.) |
| 2nd Author's Name | Wataru Ohyama |
| 2nd Author's Affiliation | Mie University(Mie Univ.) |
| 3rd Author's Name | Tetsushi Wakabayashi |
| 3rd Author's Affiliation | Mie University(Mie Univ.) |
| Date | 2016-08-19 |
| Paper # | BioX2016-14 |
| Volume (vol) | vol.116 |
| Number (no) | BioX-182 |
| Page | pp.pp.39-43(BioX), |
| #Pages | 5 |
| Date of Issue | 2016-08-11 (BioX) |