LBP-TOP based countermeasure against face spoofing attacks

Autor: de Freitas Pereira, Tiago, Anjos, André, De Martino, José Mario, Marcel, Sébastien
Předmět:
Popis: User authentication is an important step to protect information and in this eld face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the LBP-TOP operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (HTER) improvement from 15:16% to 7:60%.
Databáze: OpenAIRE