Car recognition using Gabor filter feature extraction

被引：0
|
作者：
Thiang [1 ]
Lim, R [1 ]
Guntoro, AT [1 ]
机构：
[1] Petra Christian Univ, Dept Elect Engn, Surabaya, Indonesia
来源：
APCCAS 2002: ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, VOL 2, PROCEEDINGS | 2002年
关键词：
car recognition; object detection; object segmentation; Gabor filter; pattern recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes about car recognition system using a camera as sensor to recognize a moving car. There are four main stages in this process: object detection, object segmentation, feature extraction using Gabor filters and Gabor jet matching to the car database. The experiment was done for various types of car with various illumination (at daylight and night). The result shows that Gabor filter responses give a good feature representation. The system achieved an average recognition rate of 93.88 %.
引用
收藏
页码：451 / 455
页数：5
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