Standardization of Face Image Sample Quality

Performance of biometric systems is dependent on quality of acquired biometric samples. Poor sample quality is a main reason for matching errors in biometric systems and may be the main weakness of some implementations. In this paper, we propose an approach for standardization of facial image quality, and develop facial symmetry based methods for the assessment of it by measuring facial asymmetries caused by non-frontal lighting and improper facial pose. Experimental results are provided to illustrate the concepts, definitions and effectiveness. Key words: Biometric sample quality, facial symmetry, local features, methodology, standardization.

• Type: Conference
• Year: 2007
• Where: ICB
• Authors: Xiufeng Gao, Stan Z. Li, Rong Liu, Peiren Zhang
• Keywords: Biometric, Biometric Systems, Biometrics, Facial, ICB 2007