| Presentation | 2017-10-12 A Study of a Liveness Detection Method Using Fully Convolutional Network for Face Recognition Systems Koichi Ito, Takehisa Okano, Takafumi Aoki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A face recognition system may accept a malicious person by presenting a printed photo of a user. To address this problem, liveness detection which classifies an input image into real and fake accesses is required for face recognition systems. Feature descriptors for liveness detection cannot be designed manually, since it is difficult for a human to classify an input image into real and fake accesses. Therefore, deep learning approaches are recently used to develop a liveness detection method for face recognition systems. A Fully Convolutional Network (FCN), which is one of convolutional neural networks, is used for pixel-by-pixel semantic segmentation of images. This paper investigates a liveness detection method using FCN for face recognition. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | liveness detection / spoofing / face recognition / biometrics / security |
| Paper # | BioX2017-27 |
| Date of Issue | 2017-10-05 (BioX) |
| Conference Information | |
| Committee | BioX |
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| Conference Date | 2017/10/12(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nobumoto Ohama Memorial Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Biometrics, etc. |
| Chair | Kazuhiko Sumi(AGU) |
| Vice Chair | Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) |
| Secretary | Hiroshi Takano(AIST) / Hitoshi Imaoka(Fujitsu Labs.) |
| Assistant | Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of a Liveness Detection Method Using Fully Convolutional Network for Face Recognition Systems |
| Sub Title (in English) | |
| Keyword(1) | liveness detection |
| Keyword(2) | spoofing |
| Keyword(3) | face recognition |
| Keyword(4) | biometrics |
| Keyword(5) | security |
| 1st Author's Name | Koichi Ito |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 2nd Author's Name | Takehisa Okano |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 3rd Author's Name | Takafumi Aoki |
| 3rd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| Date | 2017-10-12 |
| Paper # | BioX2017-27 |
| Volume (vol) | vol.117 |
| Number (no) | BioX-236 |
| Page | pp.pp.11-15(BioX), |
| #Pages | 5 |
| Date of Issue | 2017-10-05 (BioX) |