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In this paper, we analyze the problems produced by temporal variations of infrared face images when used in face recognition. The temporal variations present in thermal face images are mainly due to different environment conditions. To perform this work, we created two thermal face databases that include sessions with real and variable conditions. The thermal face recognition systems have been developed using the following two techniques. local binary pattern(LBP) and Scale invariant feature transform(SIFT).The results indicate LBP method suitable for thermal face recognition under temporal condition and SIFT not suitable for practical infrared face recognition.
Keywords:
INDEX TERMS Face recognition, temporal variation, Thermal face recognition.
Cite Article:
"Thermal Face Recognition system in identical twins", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 9, page no.156 - 160, September-2017, Available :http://www.ijrti.org/papers/IJRTI1709025.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator