Offline Handwritten Character Recognition using MLPNN and PSO Algorithm

Authors : Aarthna Maheshwari, Khushboo Shah

Volume/Issue : Volume 3 - 2018, Issue 2 - February

Google Scholar :

Scribd :

Thomson Reuters ResearcherID :

Classical techniques are not flexible and adaptive for new handwriting constraints. Offline handwritten character recognition for English alphabets has been proposed in this paper. The proposed system uses three layer feed forward neural network and optimized the weight using PSO algorithm. The proposed system works well with benchmark dataset from C.E.D.A.R.


Paper Submission Last Date
30 - November - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.