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.
%0 Journal Article
%1 IJACSA.2012.030124
%A H.B. Kekre Dr. Sudeep Thepade, Sanchit Khandelwal Karan Dhamejani Adnan Azmi
%D 2012
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K BTC, FAR, GAR., K’LUV, Multilevel RGB,Face recognition
%N 1
%T Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space
%U http://ijacsa.thesai.org/
%V 3
%X 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.
@article{IJACSA.2012.030124,
abstract = { 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.
},
added-at = {2014-02-21T08:00:08.000+0100},
author = {{H.B. Kekre Dr. Sudeep Thepade}, Sanchit Khandelwal Karan Dhamejani Adnan Azmi},
biburl = {https://www.bibsonomy.org/bibtex/2a40a88e68ba878bf6072738e7dac489b/thesaiorg},
interhash = {aec7416fe9442b924902af3ce6322f84},
intrahash = {a40a88e68ba878bf6072738e7dac489b},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
keywords = {BTC, FAR, GAR., K’LUV, Multilevel RGB,Face recognition},
number = 1,
timestamp = {2014-02-21T08:00:08.000+0100},
title = {{Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space}},
url = {http://ijacsa.thesai.org/},
volume = 3,
year = 2012
}