DocumentCode
3173659
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
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
426
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1994.576972
Filename
576972
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