Mukundan, R.2008-09-042008-09-042004Mukundan, R. (2004) A New Class of Rotational Invariants Using Discrete Orthogonal Moments. Honolulu, USA: 6th IASTED Conference on Signal and Image Processing – SIP2004, 23-25 Aug 2004. 80-84.978-0-88986-434-4http://hdl.handle.net/10092/843This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotational invariants can be easily constructed. The structure of the invariants is very similar to that of Zernike and Pseudo-Zernike moments, and their computation does not involve discrete approximation of continuous integral terms. The invariants are thus very robust in the presence of image noise, and have far better recognition capabilities when compared with Zernike/Legendre moments. The new class of moment invariants presented in this paper can be used in pattern and character recognition tasks.enPattern RecognitionRotational invariantsorthogonal momentszernike moment invariantsTchebichef momentspattern recognitionConference Contributions - PublishedFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280203 Image processingFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280207 Pattern recognition