Development of a Robust Ear Recognition Algorithm using Planar Approximation

被引：0
|
作者：
Arakawa, Takahiko [1 ]
Sato, Yuya [1 ]
Sakano, Hitoshi [2 ]
Ohki, Tetsushi [1 ,3 ]
机构：
[1] Shizuoka Univ, Shizuoka, Japan
[2] Shimane Univ, Matsue, Shimane, Japan
[3] RIKEN Ctr Adv Intelligence Project AIP, Tokyo, Japan
来源：
2023 ASIA PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, APSIPA ASC | 2023年
关键词：
D O I：
10.1109/APSIPAASC58517.2023.10317234
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, multimodal authentication combining multiple authentication methods such as face recognition, iris recognition, and ear recognition has attracted attention. Ear recognition can achieve nearly 100% recognition accuracy in ideal conditions. However, it suffers from a significant decrease in recognition accuracy in the presence of occlusion, pose variations, and lighting variations. In this study, we focused on the influence of variations in ear poses on recognition accuracy. To address this issue, we employed a method of data augmentation for the training set, incorporating a variety of ear poses using plane approximation techniques. The results confirmed a noticeable improvement in recognition accuracy due to the inclusion of multiple poses.
引用
收藏
页码：1811 / 1815
页数：5
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