Online Character Recognition of Handwritten Cursive Script
Text recognition is an area of pattern recognition that has been the subject of considerable interest during the last five decades. Handwritten text show wide stylistic variations. In this paper cursive characters have been recognized. Segmentation of words into characters is performed by feature extractor method. The segmented characters is then given as the input to template matching algorithm in which an incoming input is re-sized and each and every character in it is extracted. Then the extracted character is matched against the standard templates. Here pixel by pixel matching takes place for recognition. Recognition of unconstrained handwritten text is very difficult because characters cannot be reliably isolated especially when the text is cursive handwriting. But it is implemented in this project with high accuracy.
Keywords: pattern recognition, Segmentation, feature extractor, template matching, pixel
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ABOUT THE AUTHORS
Muthumani .I
Muthumani.I is an IEEE member and Associate Professor in the Department of Electronics & Communication Engineering in Alagappa Chettiar College of Engineering & Technology, India.Her research interests Image Processing and Computer Communication.
Uma Kumari C.R
Uma Kumari.C.R. is an Assistant Professor in the Department of Electronics & Communication Engineering in PSN College of Engineering & Technology, Tirunelveli, India. Her works mainly focus on Image Processing, Optical Spectroscopy and RF System Design.
Muthumani .I
Muthumani.I is an IEEE member and Associate Professor in the Department of Electronics & Communication Engineering in Alagappa Chettiar College of Engineering & Technology, India.Her research interests Image Processing and Computer Communication.
Uma Kumari C.R
Uma Kumari.C.R. is an Assistant Professor in the Department of Electronics & Communication Engineering in PSN College of Engineering & Technology, Tirunelveli, India. Her works mainly focus on Image Processing, Optical Spectroscopy and RF System Design.
