This paper is published in Volume-3, Issue-3, 2017
Area
Image Processing
Author
Geetika Mathur, Suneetha Rikhari
Org/Univ
Mody University, Sikar, Rajasthan, India
Pub. Date
22 May, 2017
Paper ID
V3I3-1348
Publisher
Keywords
Neural Network, OCR, Multilingual Documents, Handwritten Documents

Citationsacebook

IEEE
Geetika Mathur, Suneetha Rikhari. A Review on Recognition of Indian Handwritten Numerals, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Geetika Mathur, Suneetha Rikhari (2017). A Review on Recognition of Indian Handwritten Numerals. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Geetika Mathur, Suneetha Rikhari. "A Review on Recognition of Indian Handwritten Numerals." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

This paper presents a detailed review of various handwritten numeral recognition of various Indian languages. Character recognition is a field of pattern recognition which is in active research for the past few decades for its vast fields of application and still remains a challenging topic for research. Handwritting recognition is one the applications of Character Recognition. Various hand writing recognition for Indian languages has been under research in the past few years. The major challenges with handwritten character recognition is that the non-uniformity in the writing style of character, different styles of writing the same character, smoothness of the curves of the character and similarity between two characters. Several techniques have been developed to recognize Indian Numerals and have varying recognition rate. Some of the techniques are discussed below.