Title :
Radon Transform and PCA based feature extraction to design an Assamese Character Recognition system
Author :
Sharma, Praveen Kumar ; Deori, Mondira ; Kaur, Baljit ; Dey, Chanchal ; Das, Krishanu
Author_Institution :
Dept. of Electron. & Commun. Eng., Don Bosco Coll. of Eng. & Technol., Guwahati, India
Abstract :
Character Recognition is a process of understanding a human readable text document by machines. Today many researchers in the academia and industry are interested in this direction. This paper describes a novel method of Character Recognition. The main objective of this is to use the Radon Transform and Principal Component Analysis to obtain a set of invariant features, on basis of which a character will be recognized. The results found from the various experiments prove the effectiveness of the proposed method.
Keywords :
Radon transforms; character recognition; feature extraction; natural languages; principal component analysis; Assamese character recognition system; PCA; Radon transform; feature extraction; human readable text document; invariant feature; principal component analysis; Handwriting recognition; Hidden Markov models; Image segmentation; Portable computers; Principal component analysis; Transforms; Vectors; ANN; Character Recognition; HMM; MLP; Principal Component Analysis; Radon Transform;
Conference_Titel :
Emerging Trends and Applications in Computer Science (NCETACS), 2012 3rd National Conference on
Conference_Location :
Shillong
Print_ISBN :
978-1-4577-0749-0
DOI :
10.1109/NCETACS.2012.6203296
