Statistical Measures to Test the Stability of Face Recognition Approach: Duplicating Human Faces based on Cross-correlation Study
| Autor: | R Senthilkumar, R K Gnanamurthy, R Ravichandran |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| DOI: | 10.5281/zenodo.3524850 |
| Popis: | This literature work suggests a novel approach for rearranging train set developed by us. The rearrangement of train set is based on cross-correlation study of facial images of individual subjects. The new approach, tried five factual human face acknowledgment techniques with standard and Senthilkumar, face databases. Further, the stability of our proposed method tested with different statistical measures such as rank, kurtosis, mean, median, mode and skewness using large face database FERET. The experimental results show that, our approach of rearranging train sets certainly improves recognition accuracy compared to traditional approaches. {"references":["Senthil Face Database, Senthilkumar Face Database (Ver1.0), Available from http://www.face-rec.org/databases/.2014","Senthil IRTT Face Database, Senthilkumar Institute of Road and Transport Technology Students Face Database (Ver1.1) Available from http://www.face-rec.org/databases/. 2015","Senthil IRTT Female Database, Senthilkumar Institute of Road and Transport Technology Female Students Face Database (Ver1.2) Available from http://www.face-rec.org/databases/.2015","R Senthilkumar, RK Gnanamurthy (Apr. 2014), \"A Detailed Survey on 2D and 3D Still Face and Face Video Databases Part I\", IEEE Int'l Conf. Communication and Signal Processing, pp. 1405−1409, Available from http:dx.doi.org/10.1109/ICCSP.2014.6950080","R Senthilkumar, RK Gnanamurthy (Mar. 2014), \"A Detailed Survey on 2D and 3D Still Face and Face Video Databases Part II\", IEEE Int'l Conf. Recent Advances in Engineering and Computational Sciences, pp. 1−6. Available from http:dx.doi.org/10.1109/RAECS.2014.6799620"]} |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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