Fast Automatic Exposure Adjustment Method for Iris Recognition System

被引：0

作者：

Gnatyuk, Vitaly ^{[1
]}

Zavalishin, Sergey ^{[1
]}

Petrova, Xenya ^{[1
]}

Odinokikh, Gleb ^{[1
]}

Fartukov, Alexey ^{[1
]}

Danilevich, Alexey ^{[1
]}

Eremeev, Vladimir ^{[1
]}

Yoo, Juwoan ^{[2
]}

Lee, Kwanghyun ^{[2
]}

Lee, Heejun ^{[2
]}

Shin, Daekyu ^{[3
]}

Solomatin, Ivan ^{[1
]}

机构：

[1] Samsung R&D Inst Russia, Bio Recognit Lab, Moscow, Russia

[2] Samsung Elect, Multimedia R&D Grp, Suwon, South Korea

[3] Samsung Elect, Visual SW R&D Grp, Suwon, South Korea

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI-2019) | 2019年

关键词：

iris recognition; auto exposure; computer vision;

D O I：

10.1109/ecai46879.2019.9042077

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a novel algorithm for automatic camera parameter adjustment, which is exploited for getting the correct image exposure required for iris recognition. We use two-step processing, where the first step adjusts the camera parameters on the basis of a single shot, and the second step applies precise iterative adjustment. In order to get the correct iris exposure, we use a weighted mask, which is constructed offline using a set of face images. In contrast to the existing algorithms, our method does not need to be calibrated for a particular camera sensor. We show that the proposed method significantly decreases false rejection rate caused by incorrect image exposure and reduces recognition time.

引用

页数：6

共 11 条

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