A Literature Review on Handwritten Character Recognition based on Artificial Neural Network

2018 ◽  
Vol 6 (11) ◽  
pp. 753-758
Author(s):  
Rajdeep Singh ◽  
Rahul Kumar Mishra ◽  
S.S. Bedi ◽  
Sunil Kumar ◽  
Arvind Kumar Shukla
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Literature Review ◽  
Character Recognition ◽  
Handwritten Character Recognition ◽  
Handwritten Character ◽  
Artificial Neural

scholarly journals Handwritten English Alphabet Recognition

2021 ◽  
Vol 9 (12) ◽  
pp. 2134-2139
Author(s):  
Poonam Bhanudas Abhale
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Literature Review ◽  
Character Recognition ◽  
Digital Form ◽  
Handwritten Character Recognition ◽  
Handwritten Character ◽  
English Alphabet ◽  
Recycling Systems ◽  
Segmentation Point

Abstract: Character recognition is a process by which a computer recognizes letters, figures, or symbols and turns them into a digital form that a computer can use. In moment’s terrain character recognition has gained a lot of attention in the field of pattern recognition. Handwritten character recognition is useful in cheque processing in banks, form recycling systems, and numerous further. Character recognition is one of the well- liked and grueling areas of exploration. In the unborn character recognition produce a paperless terrain. In this paper, we describe the detailed study of the being system for handwritten character recognition. We give a literature review on colorful ways used in offline English character recognition. Keywords: Character; Character recognition; Preprocessing; Segmentation; Point birth; Bracket; neural network; Convolution neural network.

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