Title of article :
Enhancement and Cleaning of Handwritten Data by using Neural Networks and Threshold Technical
Author/Authors :
Zali Varghahan، Behrooz نويسنده , , Chehel Amirani، Mehdi نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2012
Pages :
4
From page :
17
To page :
20
Abstract :
This paper propose the use threshold technical and artificial neural network (ANN) for clean and enhancement scanned image for recognition task. We show noise reduction and cleaning image can used different filter that result is not gratify. Multilayer perceptron (MLP) are trained in supervised methods using a cleaning image product with threshold technical and the corresponding noise handwritten image that product from scanning with scan machine. Results showed that this method is very performance from using filter for cleaning Image. Process of cleaning image is the preprocessing for system handwritten recognition that we do this work in this paper.
Journal title :
Journal of World’s Electrical Engineering and Technology
Serial Year :
2012
Journal title :
Journal of World’s Electrical Engineering and Technology
Record number :
896894
Link To Document :
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