Title :
Rotation invariant features: a method, problems and possible solutions
Author :
Dhabe, P.S. ; Bakki, S.R. ; Kulkarni, U.V. ; Sontakke, T.R.
Author_Institution :
Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Vishnupuri, India
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper a new method is proposed to obtain rotation invariant features (RIFs) for black and white images. Variations in RIFs of an image, if rotated with angles other than multiple of 90, are minimized by modification to the method, to get RIFs consistent for all angles
Keywords :
computer vision; feature extraction; image classification; Zernike moments; angle rotation; black and white images; digital image; feature extraction; image classification; invariant features; rotation invariant features; Character recognition; Computer science; Digital images; Educational institutions; Humans; Image recognition; Intelligent systems; Optical character recognition software; Pixel; Tail;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007759
