Automatic Processing of Handwritten Arabic Forms using Neural Networks

Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...

Recognition of Handwritten Persian Numbers and Arithmetic Symbols Using Neural Networks

Neural Network Based Recognition System Integrating Feature Extraction and Classification for English Handwritten

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

Recognition of Handwritten Persian Numbers and Arithmetic Symbols Using Neural Networks

A Standardized Frame work for Handwritten and Printed Kannada Numeral Recognition and Translation using Probabilistic Neural Networks

Numeral recognition is considered to be very prominent in most of the Character recognition researches. With respect to applications like number plate recognition and document processing the numerals are composed as a part of number plate images/application form type document images. This paper mainly focuses on eliminating language barriers that may arise while comprehending the regional langu...