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학술대회 Fully Hardwired Illumination Invariant Face Recognition Engine and FPGA Implementation
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저자
김혁, 이미영, 백영석, 김성민, 구본태, 이주현
발행일
201506
출처
International Symposium on Consumer Electronics (ISCE) 2015, pp.1-2
DOI
https://dx.doi.org/10.1109/ISCE.2015.7177816
협약과제
15MS3100, 이종 멀티코어 클러스터 기반 스마트 디바이스용 하이퍼커넥션 서비스 지원 SW-SoC 융합 플랫폼 핵심 기술, 임채덕
초록
Face recognition system plays an important role in many applications such as surveillance, biometrics and security. In this paper, we present a FPGA implementation of real-time face recognition engine consists of face detection, eye detection and feature extraction/verification module. We apply Self-Quotient Image (SQI) to reduce illumination effect. Haar-AdaBoost trained classifiers are applied for face and eye detection. Linear Discriminant Analysis (LDA) and Discrete Cosine Transform (DCT) are used for face recognition. The complete system is implemented in a Xilinx Virtex-7 device. Experimental result shows that our face recognition system operates over 30 fps at 50MHz frequency for real-time applications.
키워드
Adaboost, Discrete Cosine Transform, Face recognition, FPGA, Haar, Linear Discriminant Analysis, Self-Quotient Image
KSP 제안 키워드
Discrete cosine Transform, Experimental Result, FPGA Implementation, Face Recognition system, Face detection, Feature extractioN, Illumination Invariant, Illumination effect, Linear Discriminant Analysis(LDA), Real-time application, Self-quotient image