A Virtual Differences in Face Recognition Techniques
Lakshmi Patil1, V.D. Mytri2
1Lakshmi Patil Research Scholar, Appa Establishment of Engineering and Technology, Klb, (Karnataka), India.
2V.D. Mytri Principal, Appa Establishment of Engineering and Technology, Klb, (Karnataka), India.
Manuscript received on 18 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 06 September 2019 | PP: 970-975 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F11850886S19/19©BEIESP | DOI: 10.35940/ijeat.F1185.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Separated and other biometric security headways, altered face insistence gives a consistently normal and less unpredictable strategy for human obvious proof; at any rate it additionally shows continuously specific inconveniences. There are dependably varieties existing in face photographs of a similar subject individual, which are accomplished by various lighting conditions, various positions and appearances of the subject individual, various headings and spots of cameras and other erratic elements. Thus, face recognition is a challenging problem. In this paper, face recognition is implemented with a various methods such as PCA, LBP, SVD-HMM, LIN-SVDHMM approach on standard ORL database and the results are compared to find the most efficient method.
Keywords: Face Recognition, PCA, LBP, SVD, HMM.
Scope of the Article: Pattern Recognition