HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORK

Authors

Dr. Subhashchandra Desai Head of Department, Departments of Computer and Informative Science, Sabarmati University, Ahmadabad, Gujarat, India
Mr. Abhishek Mehta Research Solar at Department of Computer and Informative Science, Sabarmati University, Ahmadabad, Gujarat, India & Assistant Professor Parul Institute of Computer Application, Parul University, Vadodara, Gujarat, India
Dr. Ashish Chaturvedi Registrar, Departments of Computer and Informative Science, Sabarmati University, Formerly Calorx Teachers' University, Ahmadabad, Gujarat, India

Keywords:

NN Neural Network, Character recognition, pattern recognition

Abstract

Manually written character acknowledgment is a territory of example acknowledgment which characterizes a capacity of a machine to examine an example and recognize the character. Example acknowledgment is the study of making inferences from perpetual information dependent on either prior information or on factual data. This paper focuses on improvement of programming calculation to perceive any transcribed character productively on PC with input is either an old optical picture or at present gave through touch info, mouse or pen

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Published

2020-09-29

How to Cite

Dr. Subhashchandra Desai, Mr. Abhishek Mehta, & Dr. Ashish Chaturvedi. (2020). HANDWRITTEN CHARACTER RECOGNITION USING NEURAL NETWORK. European Journal of Research Development and Sustainability, 1(1), 1-4. Retrieved from https://scholarzest.com/index.php/ejrds/article/view/5