Title :
On the improvement of accuracy of recognition of handwritten numerals
Author :
Jain, Hemant Kumar ; Chakravarty, Anamika
Author_Institution :
Tata Unisys Ltd., Bombay, India
Abstract :
The development of a technique based on unequal weights for topological features extracted from isolated numerals is described. This technique can be used for recognition of handwritten numerals. The technique is compared with existing techniques that propose binary trees for classification. A discussion on additional topological features is also included. These features were found to be useful in some classes of numerals
Keywords :
optical character recognition; feature extraction; handwritten numeral recognition accuracy; topological features; unequal weights; Binary trees; Cameras; Character recognition; Classification tree analysis; Feature extraction; Handwriting recognition; Image resolution; Image segmentation; Logic; Personal communication networks;
Conference_Titel :
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location :
Bombay
DOI :
10.1109/TENCON.1989.176959
