The Application of Face Recognition Based on OpenCV

Abstract:

Face recognition is a significant method, which is one of the biometric recognition. A face recognition system consists of two key technologies, namely, face detection and face recognition. In order to achieve two key technologies, Haar-Like feature and AdsBoost algorithm can be used to achieve face detection module. And PCA algorithm can be used to achieve face recognition module. For achieve application more quickly and efficiently, the core of the system develops with OpenCV. And the main use is its image processing, mathematical operations, and machine learning functions.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 2350-2353
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.2350
• Online since: November 2011
• Authors: Su Li
• Keywords: AdsBoost, Face Detection, Face Recognition, Haar-Like Feature, OpenCV, Principal Component Analysis (PCA)

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