A study on comparisons of four corner detection algorithms in palmprint identification system

Author

Lei, Wang ; Yuming, Shen

Author_Institution

School of optical-electrical and computer engineering, University of Shanghai for Science and Technology, China

fYear

2010

fDate

4-6 Dec. 2010

Firstpage

1786

Lastpage

1789

Abstract

Corner detection is an important research topic in the field of computer vision and pattern recognition. Accurate corner detection plays a vital role in the completion of many computer vision tasks, such as image matching, object recognition, camera calibration and motion analysis, etc. According to the different implementation methods, it described four kinds of corner detection methods in detail, such as multi-scale Harris corner detection algorithm, SUSAN corner detection algorithm, Kitchen corner detection algorithm, based on curvature scale space corner detection algorithm in palmprint identification system, analyzed and summarized each of the different methods, finally it pointed the corner detection technology research direction and development trend.

Keywords

Brightness; Computers; Detection algorithms; Gray-scale; Image edge detection; Pixel; Smoothing methods; Kitchen; SUSAN; corner detection; curvature scale space; multi-scale Harris; palmprint identification system;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2010 2nd International Conference on

Conference_Location

Hangzhou, China

Print_ISBN

978-1-4244-7616-9

Type

conf

DOI

10.1109/ICISE.2010.5691709

Filename

5691709