Z. Boulkenafet, J. Komulainen and A. Hadid, "Face Antispoofing Using Speeded-Up Robust Features and Fisher Vector Encoding," in IEEE Signal Processing Letters, vol. 24, no. 2, pp. 141-145, Feb. 2017. doi: 10.1109/LSP.2016.2630740
Face antispoofing using speeded-up robust features and Fisher vector encoding
|Author:||Boulkenafet, Zinelabidine1; Komulainen, Jukka1; Hadid, Abdenour1|
1Center for Machine Vision and Signal Analysis, Uni- versity of Oulu, Oulu 90014, Finland
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019091328126
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-09-13
The vulnerabilities of face biometric authentication systems to spoofing attacks have received a significant attention during the recent years. Some of the proposed countermeasures have achieved impressive results when evaluated on intratests, i.e., the system is trained and tested on the same database. Unfortunately, most of these techniques fail to generalize well to unseen attacks, e.g., when the system is trained on one database and then evaluated on another database. This is a major concern in biometric antispoofing research that is mostly overlooked. In this letter, we propose a novel solution based on describing the facial appearance by applying Fisher vector encoding on speeded-up robust features extracted from different color spaces. The evaluation of our countermeasure on three challenging benchmark face-spoofing databases, namely the CASIA face antispoofing database, the replay-attack database, and MSU mobile face spoof database, showed excellent and stable performance across all the three datasets. Most importantly, in interdatabase tests, our proposed approach outperforms the state of the art and yields very promising generalization capabilities, even when only limited training data are used.
IEEE signal processing letters
|Pages:||141 - 145|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
113 Computer and information sciences
This was supported in part by the Academy of Finland and in part by the Infotech Oulu.
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