A Review On Handwritten Character Recognition Techniques

( An International Open Access , Peer-reviewed, Refereed Journal )

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

A Review On Handwritten Character Recognition Techniques
Author(s):
Parul Singla, Sargam Munjal
Keywords:
Handwritten Character Recognition, Preprocessing, Segmentation, Feature Extraction, Classification
Abstract
Pattern Recognition is one of the very important and actively searched trait or branch of artificial intelligence. It is the science that tries to make machines as intelligent as humans to recognize patterns and classify them into desired categories in a simple and reliable way. Nowadays,pattern recognition plays a vital role in hand written character recognition. Different people have different writing styles. So, for recognizing their handwriting, we use pattern recognition system. In this paper, we have described the steps used in the handwritten character recognition system. The steps are image acquisition,preprocessing, segmentation, feature extraction,classification and recognition. The techniques used in the steps of handwritten character recognition system are also described in this paper.
Article Details
Unique Paper ID: 143412 Publication Volume & Issue: Volume 2, Issue 11 Page(s): 373 - 376
Article Preview & Download

Share This Article

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org