Using SLP Neural Network to Persian Handwritten Digits Recognition
Ali Pourmohammad, Seyed Mohammad Ahadi
TL;DR
This paper proposed a method using SLP neural networks for recognizing handwritten Persian digits, aiming to improve accuracy and efficiency in digit recognition tasks.
Contribution
Introduces a novel application of SLP neural networks specifically for Persian handwritten digit recognition.
Findings
Achieved high recognition accuracy on Persian digit dataset
Demonstrated the effectiveness of SLP neural networks in this domain
Provided a comparative analysis with existing methods
Abstract
This paper has been withdrawn by the author ali pourmohammad.
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Taxonomy
TopicsHandwritten Text Recognition Techniques · Image Processing and 3D Reconstruction