Fast Quality Assessment of Face Images for Face Recognition

被引：2

作者：

Yang Fei ^{[1
]}

Su Jianbo ^{[1
]}

Dai Jingwen ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 4 | 2008年

关键词：

Face recognition; Image quality assessment; Clarity; Cepstrum;

D O I：

10.1109/CHICC.2008.4605323

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The captured face images are of all kinds of quality in a face recognition system, some poor quality images, for example blurry images, could degrade the performance of the face recognition system. It is obliged to assess the quality of the acquired images in order to eliminate the bad effects result from poor quality images. The current techniques of image quality assessment are not suitable for the quality assessment of face images. This paper analyzes the characters of face recognition and then proposes a quantitative clarity assessment method in detail. The experimental results show that the proposed method can assess the quality of the face images accurately and-quickly. The method manages to satisfy the real-time requirement and can be adopted as a preprocessing step in the automatic face recognition system conveniently.

引用

页码：531 / 535

页数：5

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