Optical Handwritten with Character Recognition

被引:0
|
作者
Zahra, Syeda Binish [1 ]
Moaen, Shanza [1 ]
Munir, Sundus [1 ]
Hassan, Arfa [1 ]
Nadeem, Afrozah [1 ]
Farooq, Muhammad Sajid [1 ]
机构
[1] Lahore Garrison Univ, Dept Comp Sci, Lahore, Pakistan
关键词
Optical Character Recognition (OCR); Digital Image Processing (DIP); Machine Learning; Hand Written Character Recognition; Convolution Neural Network (CNN); SYSTEM; OPTIMIZATION; CORONAVIRUS; CHALLENGES; TAXONOMY; FUSION; MODEL;
D O I
10.1109/ICIC53490.2021.9692927
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Optical Written with character recognition is a software where you can upload any of you written text and it will be converted into a digital form. This will further provide the user an opportunity to do whatever they want to do with the digital text. The focus of this project will be on 4 main types of recognition. The first one is simple character recognition which will recognize the alphabetic characters that are either handwritten or in digital format (in pdf etc.). The second one will be the cheque recognition type in which the software will recognize the content of a cheque (alphabets, cash, date, and bank account etc.). The third one will be the postal address recognition which will recognize the address written on a mail. The fourth and last one will be the menu card recognition which will recognize the dishes and the amounts that are written on the menu card. We used the CNN (Convolution Neural Network) & ResNet (Residual Network) to make our software.
引用
收藏
页码:562 / 569
页数:8
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