Volume 16 - Issue 1
Automated Recognition for Handwritten Characters towards Conversion in to Texts
Abstract
This undertaking proposed a general calculation for progressively proficient written by hand acknowledgment. Utilizing manually written acknowledgment calculations can lessen the time it takes to change over record into letters for decreasing the remaining burden. The manually written text styles utilized in this theory are multi-content, which comprises of Bangla font, latin, MNIST transcribed letter set arrangement on solution. This progression has been structured and created with hereditary calculations related to man-made consciousness methods. with hereditary calculations related to man-made reasoning procedures. The after-effect of this calculation was structured and created to deliver exact outcome in the acknowledgment of the Bangla set is 54.05%, Latin 98.58% and MNIST 98.58%.
Paper Details
PaperID: 201018
Author's Name: Sk. Jaheer, K. Praveen Kumar and P. Siva Prasad
Volume: Volume 16
Issues: Issue 1
Keywords: Handwritten, Recognition, SVM Algorithm, Artificial Intelligence, Multi-scripts.
Year: 2020
Month: February
Pages: 111-120