Study of Face Recognition Approach Based on Similarity Measures
Detecting the similarity of face image aims to determine the image of a face for verification purpose of documents such as passport, driving license, ID cards, etc. A new approach for face recognition based on similarity measure method is introduced. In addition, We apply various measure classes to increase the efficiency of the proposed method. The properties, sensitivity and effectiveness of the proposed measures are investigated and tested on 400 images from the ORL face database. Experimental results show that these similarity measures can give an useful way for measuring the similarity between fuzzy sets.
Keywords: Algorithms, Image processing, Fuzzy sets, Similarity measures, face recognitions
Download Full-Text
ABOUT THE AUTHORS
Mohamed A. El-Sayed
Mathematics department, Faculty of Science, Fayoum University, Egypt. Assistant professor, Dept of CS, CIT College, Taif University, Saudi Arabia
Noha Aboelwafa
Mathematics Department, Faculty of Science, South Valley University, Qena, Egypt
Mohamed A. El-Sayed
Mathematics department, Faculty of Science, Fayoum University, Egypt. Assistant professor, Dept of CS, CIT College, Taif University, Saudi Arabia
Noha Aboelwafa
Mathematics Department, Faculty of Science, South Valley University, Qena, Egypt
