Title :
Discriminant performance of the algebraic features of handwritten character images
Author :
Liu, Ke ; Huang, Yea-Shuan ; Suen, Ching Y. ; Yang, Jing-Yu ; Liu, Lei- Jian ; Liu, Ying- Jiang
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
Abstract :
One of the most important topics in handwritten character recognition is the extraction of features from character images. In this paper, an algebraic feature extraction technique is applied to recognize handwritten characters. The discriminant performance of the algebraic features extracted from both handprinted characters and totally unconstrained handwritten numerals is studied. Experimental results are provided
Keywords :
character recognition; algebraic feature extraction; handwritten character recognition; optimal discriminant criterion; totally unconstrained handwritten numerals; Character recognition; Computer science; Feature extraction; Handwriting recognition; Image analysis; Image recognition; Machine intelligence; Scattering; Shape; Testing;
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
DOI :
10.1109/ICPR.1994.576972
