文章基本信息

标题：Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space
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作者：H.B. Kekre ; Dr. Sudeep Thepade ; Sanchit Khandelwal 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2012
卷号：3
期号：1
DOI：10.14569/IJACSA.2012.030124
出版社：Science and Information Society (SAI)
摘要：The theme of the work presented in the paper is Multilevel Block Truncation Coding based Face Recognition using the Kekre’s LUV (K’LUV) color space. In [1], Multilevel Block Truncation Coding was applied on the RGB color space up to four levels for face recognition. The experimental results showed that Block Truncation Coding Level 4 (BTC-level 4) was better as compared to other BTC levels of RGB color space. Results displaying a similar pattern are realized when the K’LUV color is used. It is further observed that K’LUV color space gives improved results on all four levels.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Face recognition; BTC; RGB; K’LUV; Multilevel BTC; FAR; GAR.