Title :
On-line recognition of handwritten Arabic characters
Author :
Al-Emami, Samir ; Usher, Mike
Author_Institution :
Dept. of Cybern., Reading Univ., UK
fDate :
7/1/1990 12:00:00 AM
Abstract :
Arabic characters are always in cursive script. Handwritten words were entered into an IBM PC via a graphics tablet and a segmentation process applied to the points; the length and the slope of each segment was then found, and the slope categorized into one of four directions. In the learning process, specifications on the strokes of each character are fed to the computer. In the recognition process, the parameters of each stroke are found and special rules applied to select the collection of strokes which best matches the features of one of the stored characters. The results are promising, and suggestions for improvements leading to 100% recognition are proposed
Keywords :
character recognition; computerised pattern recognition; cursive script; graphics tablet; handwritten Arabic characters; learning process; online character recognition; segmentation; Acoustic signal processing; Chaos; Character recognition; Computer graphics; Handwriting recognition; Hidden Markov models; Natural languages; Speech processing; Speech recognition; Speech synthesis; Vector quantization;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
