Title :
Online Arabic handwritten character recognition using online-offline feature extraction and back-propagation neural network
Author :
Ramzi, Amal ; Zahary, Ammar
Author_Institution :
Dept. of Software Eng., Taiz Univ., Taiz, Yemen
Abstract :
The main theme of this paper is performing online handwriting recognition for Arabic character using back propagation neural network and it experiments the performance of it using online features of characters as input to the BPNN in comparison with combining online and offline character features as the input. That´s done through the following stages : online data acquisition, online & offline preprocessing, online & offline feature extraction (directional & geometric features), classification using back propagation neural network to classify the character to one of 15 character classes and finally, delayed strokes handling using logic programming to recognize the character according to the character class and its delayed strokes accounts and positions.
Keywords :
backpropagation; computational geometry; data acquisition; feature extraction; handwriting recognition; handwritten character recognition; image classification; natural language processing; neural nets; BPNN; back-propagation neural network; character class; character classification; directional features; geometric features; logic programming; offline preprocessing; online Arabic handwritten character recognition; online data acquisition; online handwriting recognition; online preprocessing; online-offline feature extraction; Character recognition; Feature extraction; Handwriting recognition; Image segmentation; Neural networks; Trajectory; Writing; Arabic recognition; back propagation; classification; hybrid feature extraction; online handwriting;
Conference_Titel :
Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
Conference_Location :
Sousse
DOI :
10.1109/ATSIP.2014.6834634
