This paper is published in Volume-4, Issue-2, 2018
Area
Artificial Intelligence
Author
Nitin Sharma, Pranshu Agarwal, Dr. Upasana Pandey
Org/Univ
IMS Engineering College, Ghaziabad, Uttar Pradesh, India
Pub. Date
11 April, 2018
Paper ID
V4I2-1755
Publisher
Keywords
Offline Handwriting Recognition (HWR), Neural Networks, Machine Learning, Optical Character Recognition (OCR), Pattern Recognition.

Citationsacebook

IEEE
Nitin Sharma, Pranshu Agarwal, Dr. Upasana Pandey. Offline handwriting recognition using neural networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Nitin Sharma, Pranshu Agarwal, Dr. Upasana Pandey (2018). Offline handwriting recognition using neural networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Nitin Sharma, Pranshu Agarwal, Dr. Upasana Pandey. "Offline handwriting recognition using neural networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Handwriting recognition system can be defined as the ability of a computer to intelligently recognize the handwritten text by the user. The handwriting recognition is considered to be an open research topic due to the fact that every human being has a unique handwriting as well as there are numerous languages which are being used worldwide in written form. A neural network can be designed for recognizing handwritten texts in any language required. As different people have different handwriting styles, the task of recognizing the handwriting is a difficult task. As of today, the OCR (Optical Character Recognition) Engines are primarily focused on machine printed texts or handwritten texts which are written in block letters. By recognizing the texts in the handwritten text images by the user into letter codes is becomes usable digitally in computers and text processing applications.