| Presentation | 2019-10-03 Fundamental Study of Fingerprint Recognition Using Deep Learning Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Fingerprint recognition is to identigy a person by comparing relative position, angle and quality of minutiae extracted from fingerprint images. The combination of minutiae and other discriminative features is considered to improve the performance of fingerprint recognition, since the low accuracy of minutia extraction results in the low accruacy of fingerprint recognition. This paper proposes a fingerprint recognition method using deep learning, which employs frequency spectrum, texture and minutiae information. We demonstrate that the proposed method exhibits the efficient performance on fingerprint recongition for low-quality fingerprint images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | biometrics / fingerprint recognition / deep learning / convolutional neural network |
| Paper # | BioX2019-56 |
| Date of Issue | 2019-09-26 (BioX) |
| Conference Information | |
| Committee | BioX |
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| Conference Date | 2019/10/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akira Otsuka(IISEC) |
| Vice Chair | Tetsushi Ohki(Shizuoka Univ.) / Takahiro Aoki(Fujitsu Labs.) |
| Secretary | Tetsushi Ohki(Univ. of Electro-Comm.) / Takahiro Aoki(SECOM) |
| Assistant | Daishi Watabe(Saitama Inst. of Tech.) / Ryota Horie(Shibaura Inst. of Tech.) |
| 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) | Fundamental Study of Fingerprint Recognition Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | biometrics |
| Keyword(2) | fingerprint recognition |
| Keyword(3) | deep learning |
| Keyword(4) | convolutional neural network |
| 1st Author's Name | Ai Takahashi |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 2nd Author's Name | Yoshinori Koda |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 3rd Author's Name | Koichi Ito |
| 3rd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 4th Author's Name | Takafumi Aoki |
| 4th Author's Affiliation | Tohoku University(Tohoku Univ.) |
| Date | 2019-10-03 |
| Paper # | BioX2019-56 |
| Volume (vol) | vol.119 |
| Number (no) | BioX-214 |
| Page | pp.pp.11-16(BioX), |
| #Pages | 6 |
| Date of Issue | 2019-09-26 (BioX) |