Title :
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
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;
Conference_Titel :
Advances in Computing and Communications (ICACC), 2014 Fourth International Conference on
Conference_Location :
Cochin
Print_ISBN :
978-1-4799-4364-7
DOI :
10.1109/ICACC.2014.25
