Title :
Statistical and neural classification of handwritten numerals: a comparative study
Author :
Cao, Jun ; Shridhar, M. ; Kimura, F. ; Ahmadi, M.
Author_Institution :
Michigan-Dearborn Univ., MI, USA
fDate :
30 Aug-3 Sep 1992
Abstract :
Presents the results obtained in a performance evaluation study on the recognition of handwritten numerals, using a statistical classifier and a neural network. The features consist of direction sensitive spatial features derived from the digitized image of the numeral. Studies with a large numeral database indicate that the overall performance of the neural net is better than that of the statistical classifier
Keywords :
character recognition; feature extraction; neural nets; digitized image; direction sensitive spatial features; handwritten numerals; neural classification; neural network; performance evaluation; statistical classifier; Covariance matrix; Data mining; Data processing; Estimation error; Feature extraction; Handwriting recognition; Histograms; Hydrogen; Image databases; Neural networks;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201859
