This paper is published in Volume-6, Issue-4, 2020
Area
Natural Language Processing
Author
Addala Tejaswini
Co-authors
Y. Lakshmi Pratyusha, A. Rajashekar Reddy
Org/Univ
BVRIT Hyderabad College of Engineering for Women, India
Pub. Date
27 July, 2020
Paper ID
V6I4-1268
Publisher
Keywords
Convolutional Neural Network, Optical Character Recognition, EMNIST

Citationsacebook

IEEE
Addala Tejaswini, Y. Lakshmi Pratyusha, A. Rajashekar Reddy. Handwritten character recognition, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Addala Tejaswini, Y. Lakshmi Pratyusha, A. Rajashekar Reddy (2020). Handwritten character recognition. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Addala Tejaswini, Y. Lakshmi Pratyusha, A. Rajashekar Reddy. "Handwritten character recognition." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

Character recognition is one of the most important research fields of image processing and pattern recognition. Character recognition is generally known as Handwritten Character Recognition (HCR) or Optical Character Recognition (OCR). HCR is the process of electronic translation of handwritten images or typewritten text into machine editable text. It becomes very difficult if there are lots of paper based information on companies and offices. Because they want to manage huge volume of documents and records. Computers can work much faster and more efficiently than human. It is used to perform many of the tasks required for efficient document and Content management. But computer knows only alphanumeric characters as ASCII code. So computer cannot distinguish character or word from a scanned image. In order to use the computer for document management, it is required to retrieve alphanumeric information from a scanned image. There are so many methods which are currently used for OCR and are based on different languages. The existing method like Artificial Neural Network (ANN based on English Handwritten character recognition needs the features to be extracted and also the performance level is low. So Convolutional Neural Network (CNN) based English handwritten character recognition method is used as a deep machine learning method for which it doesn't want to extract the features and also a fast method for character recognition.