Face recognition using Discrete Tchebichef-Krawtchouk Transform

Wissam A. Jassim, P. Raveendran

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13 Citations (Scopus)


In this paper, a face recognition system based on Discrete Tchebichef-Krawtchouk Transform DTKT and Support Vector Machines SVMs is proposed. The objective of this paper is to present the following: (1) the mathematical and theoretical frameworks for the definition of the DTKT including transform equations that need to be addressed. (2) the DTKT features used in the classification of faces. (3) results of empirical tests that compare the representational capabilities of this transform with other types of discrete transforms such as Discrete Tchebichef transform DTT, discrete Krawtchouk Transform DKT, and Discrete Cosine transform DCT. The system is tested on a large number of faces collected from ORL and Yale face databases. Empirical results show that the proposed transform gives very good overall accuracy under clean and noisy conditions.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Print)9780769548753
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Symposium on Multimedia 2012 - Irvine, United States of America
Duration: 10 Dec 201212 Dec 2012
Conference number: 14th
https://ieeexplore.ieee.org/xpl/conhome/6424013/proceeding (Proceedings)


ConferenceIEEE International Symposium on Multimedia 2012
Abbreviated titleISM 2012
Country/TerritoryUnited States of America
Internet address


  • Discrete cosine transform
  • Face recognition
  • Krawtchouk moments
  • Orthogonal polynomials
  • Support Vector Machines
  • Tchebichef moments

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