New Set of Gegenbauer Moment Invariants for Pattern Recognition Applications

A new set of Gegenbauer moment invariants is proposed for pattern recognition applications. These moment invariants are expressed as a linear combination of geometric moment invariants where the later are invariants under translation, scaling and rotation of the image they describe. The invariance of Gegenbauer moments is tested by using different binary- and gray-level images. The obtained results show the accuracy of the new set of Gegenbauer moment invariants.

[1]  Karim Faez,et al.  GA-based optimal selection of PZMI features for face recognition , 2008, Appl. Math. Comput..

[2]  Miroslaw Pawlak,et al.  Image analysis by moments : reconstruction and computational aspects , 2006 .

[3]  Khalid M. Hosny,et al.  Exact and fast computation of geometric moments for gray level images , 2007, Appl. Math. Comput..

[4]  Bin Wang.  Shape retrieval using combined Fourier features , 2011 .

[5]  Mandyam D. Srinath,et al.  Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments , 2002, Pattern Recognit..

[6]  Khalid M. Hosny,et al.  Image representation using accurate orthogonal Gegenbauer moments , 2011, Pattern Recognit. Lett..

[7]  Karim Faez,et al.  Face recognition using adaptively weighted patch PZM array from a single exemplar image per person , 2008, Pattern Recognit..

[8]  Roland T. Chin,et al.  On Image Analysis by the Methods of Moments , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Khalid M. Hosny,et al.  Exact Legendre moment computation for gray level images , 2007, Pattern Recognit..

[10]  Chee-Way Chong,et al.  Translation and scale invariants of Legendre moments , 2004, Pattern Recognit..

[11]  M. Teague.  Image analysis via the general theory of moments , 1980 .

[12]  Qin Lu,et al.  Chinese character recognition via Gegenbauer moments , 2002, Object recognition supported by user interaction for service robots.

[13]  Khalid M. Hosny.  Fast and accurate method for radial moment's computation , 2010, Pattern Recognit. Lett..

[14]  Khalid M. Hosny,et al.  Fast and low-complexity method for exact computation of 3D Legendre moments , 2011, Pattern Recognit. Lett..

[15]  Khalid M. Hosny,et al.  An Algorithm for Fast Computation of 3D Zernike Moments for Volumetric Images , 2012 .

[16]  Khalid M. Hosny,et al.  A systematic method for efficient computation of full and subsets Zernike moments , 2010, Inf. Sci..

[17]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[18]  Andrew Beng Jin Teoh,et al.  Enhanced pseudo Zernike moments in face recognition , 2005, IEICE Electron. Express.

[19]  B. Chandra Mohan,et al.  Content Based Image Retrieval Using Exact Legendre Moments and Support Vector Machine , 2010, ArXiv.

[20]  Khalid M. Hosny,et al.  Fast computation of accurate Zernike moments , 2008, Journal of Real-Time Image Processing.

[21]  Ghulam Muhammad,et al.  Feature Selection Based Verification/Identification System Using Fingerprints and Palm Print , 2013 .