Results 261 to 270 of about 160,627 (312)

Arabic optical character recognition software: A review

Pattern Recognition and Image Analysis, 2017
This paper provides a thorough evaluation of a set of six important Arabic OCR systems available in the market; namely: Abbyy FineReader, Leadtools, Readiris, Sakhr, Tesseract and NovoVerus. We test the OCR systems using a randomly selected images from the well known Arabic Printed Text Image database (250 images from the APTI database) and using a set
Faisal Alkhateeb, Iyad Abu Doush, Abdelraoaf Albsoul   +2 more
openaire   +1 more source

Arab Handwriting Character Recognition by Curvature

2018
Recognition for shape of Arab handwritten characters are susceptible to shape greatly varies in shape and size (Fig. 1). Curvature can be an efficient representation for learning from the writer style features. In this paper, we improve the effectiveness of our system for recognition of Arabic handwritten characters based Bezier curves [6].
openaire   +1 more source

Arabic Character Recognition Using Structural Shape Decomposition

2003
This paper presents a statistical framework for recognising 2D shapes which are represented as an arrangement of curves or strokes. The approach is a hierarchical one which mixes geometric and symbolic information in a three-layer architecture. Each curve primitive is represented using a point-distribution model which describes how its shape varies ...
Abdullah Al Shaher, Edwin R. Hancock
openaire   +1 more source

Online continuous multi-stroke Persian/Arabic character recognition by novel spatio-temporal features for digitizer pen devices

Neural computing & applications (Print), 2019
Sara Valikhani, Fardin Abdali-Mohammadi, Abdolhossein Fathi   +2 more
semanticscholar   +1 more source

Investigation on deep learning for off-line handwritten Arabic Character Recognition using Theano research platform

International Symposium on Computer Vision, 2017
Chaouki Boufenar, M. Batouche
semanticscholar   +1 more source

Decision trees based on perceptual codes for on-line Arabic character recognition

International Workshop on Arabic Script Analysis and Recognition, 2017
Hanen Akouaydi, Slim Abdelhedi, S. Njah, M. Zaied, A. Alimi   +4 more
semanticscholar   +1 more source

Arab Handwriting Character Recognition Using Deep Learning

2019
Recent work has shown that neural networks have great potential in the field of handwriting recognition. The advantage of using this type of architecture, besides being robust, is that the network learns the characteristic vectors automatically thanks to the convolution layers. We can say that it creates intelligent filters.
openaire   +1 more source

A survey on Arabic Optical Character Recognition and an isolated handwritten Arabic Character Recognition algorithm using encoded freeman chain code

Annual Conference on Information Sciences and Systems, 2017
Hassan Althobaiti, Chao Lu
semanticscholar   +1 more source

Approach for Machine-Printed Arabic Character Recognition: the-state-of-the-art deep-learning method

Visual Information Processing and Communication, 2018
Daegun Ko, Changhyung Lee, Donghyeop Han, Hyeongsu Ohk, Kimin Kang, Seongwook Han   +5 more
semanticscholar   +1 more source

Direct Photocatalyzed Hydrogen Atom Transfer (HAT) for Aliphatic C–H Bonds Elaboration

Chemical Reviews, 2022
Luca Capaldo, Davide Ravelli, Maurizio Fagnoni   +2 more
exaly