Title :
A high-accuracy syntactic recognition algorithm for handwritten numerals
Author :
Shridhar, M. ; Badreldin, A.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
A new set of topological features (primitives) for use with a syntactic classifier for high-accuracy recognition of handwritten numerals is proposed. The tree grammar used in this study makes it possible to achieve high-recognition speeds with minimal preprocessing of the test pattern.
Keywords :
character recognition; grammars; character recognition; handwritten numeral recognition; syntactic classifier; syntactic recognition algorithm; topological features; tree grammar; Accuracy; Cybernetics; Educational institutions; Handwriting recognition; Image edge detection; Syntactics;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMC.1985.6313404
