Realization of Image Processing Platform on ARM9 for Face recognition

Author

Silpa, P.A. ; Thomas, Abu

Author_Institution

Dept. Of Electron. & Commun., Sahrdaya Coll. Of Eng. & Technol., Thrissur, India

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

80

Lastpage

83

Abstract

This work proposes a low cost alternative for DSP kits for image processing. Here we used friendly arm board with opencv. Friendly arm board is a low cost embedded board with ARM9 as the core where as Opencv is a computer vision simulation library from Intel. In this work the platform for image processing is prepared by porting the opencv library to the ARM9 board. Two algorithms for face recognition is implemented on the above platform. One are based on principal component analysis and the second one is based on linear discriminent analysis. Both algorithms are tested with AT&T database.

Keywords

digital signal processing chips; face recognition; image processing; principal component analysis; ARM9; AT&T database; DSP kits; Intel; Opencv library; arm board; computer vision simulation library; face recognition; image processing platform; linear discriminent analysis; principal component analysis; Algorithm design and analysis; Databases; Face; Face recognition; Libraries; Principal component analysis; Vectors; cmake; cross compilation; eigen face; fisher face;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Computing and Communications (ICACC), 2014 Fourth International Conference on

Conference_Location

Cochin

Print_ISBN

978-1-4799-4364-7

Type

conf

DOI

10.1109/ICACC.2014.25

Filename

6905994