Thermal Face Recognition using Bag of Words
R. Sumalatha1, R. Varaprasada Rao2, D. Rajasekhar3
1Dr. R. Sumalatha, Department of ECE, Vardhaman College of Engineering, Hyderabad, India.
2R. Varaprasada Rao, Department of ECE, RGMCET, Nandyal, India.
3D. Rajasekhar, Department of ECE, GPCET, Kurnool, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 923-926 | Volume-8 Issue-8, June 2019 | Retrieval Number: G5559058719/19©BEIESP
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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: In this paper we use Bag of Words (BoW) to estimate the performance of face recognition system of visible and infrared images. The proposed BoW results compared with six conventional feature extraction methods i.e LBP, FAST, MSER, BRISK, SIFT, SURF. BoW model is tested and analyzed on OTCBVS database under various illumination and expressions of faces. The obtained results gives good precision and recall rates compared with six conventional feature extraction methods..
Keyword: Thermal face recognition, Feature Extraction, LBP, SIFT, FAST, SURF.
Scope of the Article: Pattern Recognition.