| Title: | Comparative Survey of Face Recognition Techniques |
| Authors: | Solanki, Dhavalsinh Kothari, Ashish |
| Keywords: | Principal Component Analysis (PCA) Viola- Jones Gabor Filters Fisher’s Linear Discriminant Analysis (FLDA) |
| Issue Date: | 2015 |
| Citation: | Solanki, D. ,Kothari, A.(2015). Comparative Survey of Face Recognition Techniques. International Journal of Advance Engineering and Research Development (IJAERD), National Conference on Emerging Trends in Computer, Electrical & Electronics (ETCEE-2015), Vol. 2 No. 14, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406,Impact Factor:3.134. http://ijaerd.com/index.php/IJAERD/article/view/5789 |
| Abstract: | Face recognition has been a fast emergent and exciting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions. In this paper techniques of Face detection along with Face Recognition are discussed. Human and object frames, background frames are separated by implementing a face detection algorithms like Viola-Jones & Skin Detection algorithms. In this paper we have discussed, analyzed, & compare some popular face detection methods like PCA, LDA, PCA + LDA Hybridization and Gabor wavelet transformations and also tried to attempt a comparative study of these methods. |
| URI: | http://10.9.150.37:8080/dspace//handle/atmiyauni/999 |
| ISSN: | 2348 - 4470 |
| Appears in Collections: | 01. Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 763) 12966_Ashish Mahendrabhai Kothari.pdf | 308.54 kB | Adobe PDF | View/Open |
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