Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network

Author(s):  
Amirreza Yousefzadeh ◽  
Garrick Orchard ◽  
Evangelos Stromatias ◽  
Teresa Serrano-Gotarredona ◽  
Bernabe Linares-Barranco
Author(s):  
Gulfeshan Parween

Abstract: In this paper, we present a scheme to develop to complete OCR system for printed text English Alphabet of Uppercase of different font and of different sizes so that we can use this system in Banking, Corporate, Legal industry and so on. OCR system consists of different modules like preprocessing, segmentation, feature extraction and recognition. In preprocessing step it is expected to include image gray level conversion, binary conversion etc. After finding out the feature of the segmented characters artificial neural network and can be used for Character Recognition purpose. Efforts have been made to improve the performance of character recognition using artificial neural network techniques. The proposed OCR system is capable of accepting printed document images from a file and implemented using MATLAB R2014a version. Key words: OCR, Printed text, Barcode recognition


2021 ◽  
pp. 2100050
Author(s):  
Seok Choi ◽  
Yong Kim ◽  
Tien Van Nguyen ◽  
Won Hee Jeong ◽  
Kyeong‐Sik Min ◽  
...  

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