caa a22 4500 467884072 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s10032-005-0143-x doi (NATIONALLICENCE)springer-10.1007/s10032-005-0143-x An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition [Elektronische Daten] [Hui Zhu, X. Tang, Peng Liu] Abstract.: A hybrid model based on the combination of an orthogonal Gaussian mixture model (OGMM) and a multilayer perceptron (MLP) is proposed in this paper that is to be used for Chinese bank check machine printed numeral recognition. The combination of MLP with OGMM produces a hybrid model with high recognition accuracy as well as an excellent outlier rejection ability. Experimental results show that the proposed model can satisfy the requirements of Chinese bank check printed numeral recognition where high recognition accuracy, high processing speed, and high reliability are needed. Springer-Verlag, 2005 Orthogonal Gaussian mixture model nationallicence Multilayer perceptron nationallicence Multiple classifier systems nationallicence Chinese bank check recognition nationallicence Outlier rejection nationallicence Zhu Hui Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut Tang X. Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut Liu Peng Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/1(2006-04-01), 27-34 1433-2833 8:1<27 2006 8 10032 https://doi.org/10.1007/s10032-005-0143-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-005-0143-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhu Hui Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut NATIONALLICENCE 700 1- Tang X. Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut NATIONALLICENCE 700 1- Liu Peng Pattern Recognition Research Center, Harbin Institute of Technology, P.O. Box 352, 150001, Harbin, P.R. China aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/1(2006-04-01), 27-34 1433-2833 8:1<27 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer