DSP based modular face recognition system

Author

Gunlu, Goksel

Author_Institution

Eng. Fac., Gazi Univ., Maltepe, Turkey

fYear

2010

fDate

1-2 Dec. 2010

Firstpage

28

Lastpage

31

Abstract

In this study we develop a complete face recognition system using a CMOS camera and DM6437 Digital Video Development Platform. The face recognition system consists of several processing sub modules. First face region is detected in captured video frames. Then face regions are scaled into fixed sized images by using DSP VPFE resizer and are divided into overlapping sub-regions. Independent features are extracted by applying DCT to each sub region. Discriminating features are determined by Fisher Discrimating Value and variable length of features are selected from each region. Then faces are classified by Nearest Neighbour Classifier. Detected and identified faces are shown on the screen, connected to s-video output of the DM6437 EVM. Thus, by utilizing video processing environment of DM6437 we realize a low cost face recognition system.

Keywords

CMOS image sensors; digital signal processing chips; face recognition; image classification; video signal processing; CMOS camera; DM6437 digital video development platform; DSP VPFE resizer; DSP based modular face recognition system; Fisher discrimating value; complete face recognition system; nearest neighbour classifier; CMOS integrated circuits; Discrete cosine transforms; Europe; Face; Face recognition; Instruments; Three dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Education and Research Conference (EDERC), 2010 4th European

Conference_Location

Nice

Print_ISBN

978-0-9552047-4-6

Type

conf

Filename

6151401