Recognition of Cursive Pashto Optical Digits and Characters with Trio Deep Learning Neural Network Models

Recognition of Cursive Pashto Optical Digits and Characters with Trio Deep Learning Neural Network Models

Pashto is one of the most ancient and historical languages in the world and is spoken in Pakistan and Afghanistan. Various languages like Urdu, English, Chinese, and Japanese have OCR applications, but very little work has been conducted on the Pashto language in this perspective. It becomes more di...

Full description

Bibliographic Details
Main Authors: Muhammad Zubair Rehman, Nazri Mohd. Nawi, Mohammad Arshad, Abdullah Khan
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Electronics
Subjects:
OCR
Pashto digits
convolutional neural networks
Deep CNN
LeNet
Online Access:https://www.mdpi.com/2079-9292/10/20/2508

Similar Items

Similar Items