Real Time Handwritten Digit Recognition

International Journal of Innovative Research in Technology

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Real Time Handwritten Digit Recognition
Author(s):
Aditya Nikam, Jatin Lanje, Harshit Kumar, Bhavesh Chaturvedi, Monali Chinchamalatpure
Keywords:
Machine Learning, Pattern Recognition, Handwritten Recognition, Digit Recognition
Abstract
ARecognition of handwritten characters is one of the most important issues in recognition application of patterns. The use of digital recognition includes postal planning, processing of bank checks, etc. The main problem is the ability to create an efficient algorithm that can detect handwritten numbers sent by users in the form of scanners, tabs, and other digital devices. This paper introduces a method in which offline handwritten digits are recognized based on different machine learning techniques. The main intention of this paper is to ensure constructive and authentic methods of recognizing handwritten digits.
Article Details
Unique Paper ID: 151958 Publication Volume & Issue: Volume 8, Issue 2 Page(s): 123 - 128
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