Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space

Author 1: H.B. Kekre Author 2: Dr. Sudeep Thepade Author 3: Sanchit Khandelwal Author 4: Karan Dhamejani Author 5: Adnan Azmi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 1 · Published 2012 · Cited by 7

DOI: 10.14569/IJACSA.2012.030124

Download PDF Cite Call for Papers

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.

Keywords

Face recognition BTC RGB K’LUV Multilevel BTC FAR GAR.

How to Cite this Article

Kekre, H., Thepade, D. S., Khandelwal, S., Dhamejani, K., & Azmi, A. (2012). Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space. International Journal of Advanced Computer Science and Applications, 3(1). https://doi.org/10.14569/IJACSA.2012.030124

Kekre, H.B., et al.. "Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space." International Journal of Advanced Computer Science and Applications, vol. 3, no. 1, 2012, https://doi.org/10.14569/IJACSA.2012.030124.

@article{Kekre2012,
  title     = {Improved Face Recognition with Multilevel BTC using Kekre’s LUV Color Space},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {1},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {H.B. Kekre and Dr. Sudeep Thepade and Sanchit Khandelwal and Karan Dhamejani and Adnan Azmi},
  doi       = {10.14569/IJACSA.2012.030124},
  url       = {https://doi.org/10.14569/IJACSA.2012.030124}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

Call for Papers - Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
Call for Papers Submit Paper

IJACSA