Title :
A Projection Based Statistical Approach for Handwritten Character Recognition
Author :
Pal, Sarbajit ; Mitra, Jhimli ; Ghose, Soumya ; Banerjee, Paromita
Author_Institution :
VECC, Kolkata
Abstract :
The aim of this paper is to recognize upper-case English alphabets from handwritten documents. An OCR system based on four-sided projections of an alphabet is proposed. The projection points are approximated by polygons and feature points are extracted subsequently for notch elimination and segmentation of the polygon. The resulting segments are smoothed by Bezier approximation. Statistical matching technique is successfully applied for character recognition.
Keywords :
document image processing; handwritten character recognition; image recognition; image segmentation; statistical analysis; Bezier approximation; OCR system; handwritten character recognition; handwritten documents; polygon segmentation; projection based statistical approach; statistical matching; upper-case English alphabets; Automation; Character recognition; Computational intelligence; Educational institutions; Feature extraction; Handwriting recognition; Hidden Markov models; Instruments; Optical character recognition software; Pattern recognition;
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
DOI :
10.1109/ICCIMA.2007.270
