A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Enhancing Face Recognition Using PC-SIFTTechnique: A Hybrid Approach
2017
International Journal of Signal Processing, Image Processing and Pattern Recognition
In this investigation, a hybrid approach using phase congruency (PC) and Shift Invariant Feature Transform (SIFT) for face recognition is presented. The present study exploits the unique advantages of both phase congruency and Shift Invariant Feature Transform and makes it an effective feature extraction technique. Support Vector Machine (SVM) is used for the classification. The effectiveness of the present work is verified and compared by using another classifier i.e. K-Means. The results of
doi:10.14257/ijsip.2017.10.9.02
fatcat:tme7zabjg5hdzpivssg3qi5bdi