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May 1974 (vol. 23 no. 5)
pp. 536-545
A.K. Dutta, Electronics and Communication Sciences Laboratory, Indian Statistical Institute
Most of the work done so far on recognition of handwritten script uses curve tracing techniques. The present paper describes a recognition scheme which is independent of the dynamics of writing and is suitable both for on-line and off-line systems. New recognition criteria, namely, the distribution of intensity of marking along and perpendicular to the direction of writing are used. Methods for correcting the inclination of script, determination of zonal limits and segmentation of the continuous script into a set of curve elements have been developed. The method of correlation is used for classification of the curve-elements. A simple grammer for the reconstruction of letters from classified segments is presented. A significant recognition has been found.
Index Terms:
Correlation coefficient, handwritten character recognition, intensity of marking, pattern recognition, reconstruction grammer, segmentation.
Citation:
A.K. Dutta, "An Experimental Procedure for Handwritten Character Recognition," IEEE Transactions on Computers, vol. 23, no. 5, pp. 536-545, May 1974, doi:10.1109/T-C.1974.223978
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