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Fully Hardwired Illumination Invariant Face Recognition Engine and FPGA Implementation
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- Authors
- Hyuk Kim, Miyoung Lee, Youngseok Baek, Seongmin Kim, Bontae Koo, Joohyun Lee
- Issue Date
- 2015-06
- Citation
- International Symposium on Consumer Electronics (ISCE) 2015, pp.1-2
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Discrete cosine Transform, Experimental Result, FPGA Implementation, Face recognition system, Feature extractioN, Illumination Invariant, Illumination effect, Real-Time applications, Self-quotient image, Verification Module, Xilinx virtex