DocumentCode :
2733446
Title :
A dipole receptive fields-based document enhancement system
Author :
Young, F.F. ; Wu, Chwan-Hwa
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given, as follows. Since there may be defects and noises in some documents generated from fax machines or photocopiers, the authors have proposed a mechanism to improve the quality of prints for any set of fonts. A neural network model has been developed using the concept of dipole receptive fields to revise the defects of a given pattern. This algorithm consists of a preprocessing stage, sensitivity sensor, and connecting machine, and has been demonstrated to improve the quality of a printed document
Keywords :
character sets; computerised picture processing; document image processing; neural nets; connecting machine; dipole receptive fields-based document enhancement; fax documents; neural network model; photocopied documents; preprocessing stage; printed document; sensitivity sensor; Joining processes; Neural networks; Noise generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
Type :
conf
DOI :
10.1109/IJCNN.1991.155515
Filename :
155515
Link To Document :
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