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A Study on Face Recognition Based on Modified Otsu's Binarization and Hu Moment  

이형지 (인하대학교 전자공학과 디지털신호처리연구실)
정재호 (인하대학교 전자공학과 디지털신호처리연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.28, no.11C, 2003 , pp. 1140-1151 More about this Journal
Abstract
This paper proposes a face recognition method based on modified Otsu's binarization and Hu moment. Proposed method is robust to brightness, contrast, scale, rotation, and translation changes. As the proposed modified Otsu's binarization computes other thresholds from conventional Otsu's binarization, namely we create two binary images, we can extract higher dimensional feature vector. Here the feature vector has properties of robustness to brightness and contrast changes because the proposed method is based on Otsu's binarization. And our face recognition system is robust to scale, rotation, and translation changes because of using Hu moment. In the perspective of brightness, contrast, scale, rotation, and translation changes, experimental results with Olivetti Research Laboratory (ORL) database and the AR database showed that average recognition rates of conventional well-known principal component analysis (PCA) are 93.2% and 81.4%, respectively. Meanwhile, the proposed method for the same databases has superior performance of the average recognition rates of 93.2% and 81.4%, respectively.
Keywords
Hu moment; Modified Otsu binarization; Face recognition; PCA;
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