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
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