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

2017 ◽  
Author(s):  
Hassan Althobaiti ◽  
Chao Lu
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition Algorithm ◽  
Chain Code ◽  
Optical Character ◽  
Handwritten Arabic

scholarly journals A Survey on Arabic Handwritten Script Recognition Systems

2021 ◽  
Vol 11 (2) ◽  
pp. 1-17
Author(s):  
Soumia Djaghbellou ◽  
Abderraouf Bouziane ◽  
Abdelouahab Attia ◽  
Zahid Akhtar
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Research Field ◽  
Research Directions ◽  
Optical Character ◽  
On Line ◽  
Recognition Systems ◽  
Active Research ◽  
Handwritten Arabic ◽  
Open Issues

The optical character recognition (OCR) system is still an active research field in pattern recognition. Such systems can identify, recognize and distinguish electronically between characters and texts, printed or handwritten. They can also do a transformation of such data type into machine-processable form to facilitate the interaction between user and machine in various applications. In this paper, we present the global structure of an OCR system, with its types (on-line and off-line), categories (printed and handwritten) and its main steps. We also focused on off-line handwritten Arabic character recognition and provided a list of the main datasets publicly available. This paper also presents a survey of the works that have been carried out over recent years. Finally, some open issues and potential research directions have been highlighted

scholarly journals Revolution by using Optical Character Recognition Technique to Identify Registered Number Plate

2019 ◽  
Vol 8 (10) ◽  
pp. 1185-1188
Keyword(s):  
Character Recognition ◽  
Template Matching ◽  
Optical Character Recognition ◽  
Recognition Algorithm ◽  
Research Topic ◽  
Binary Mask ◽  
Segmentation Method ◽  
Optical Character ◽  
Small Parts ◽  
Recognition Technique

From past few years, the most interesting research topic is ANPR which registration of vehicles by their number plates. The purpose of this system is used for identifying number plate of numerous automobile. From automobile images, only number plate is extracted using binary mask method. And Optical Character Recognition (OCR) technique will be done with segmentation method. In segmentation, the numbers or characters on number plate are separated into small parts which is used to recognize using template matching in optical character recognition algorithm. As a result, the recognized number plate will be displayed. Also the result of this number plate is registered or not registered number plate will be displayed as a result.

scholarly journals ALPHABETS IMAGE IDENTIFICATION USING ADVANCED LOCAL BINARY PATTERN AND CHAIN CODE ALGORITHM

2021 ◽  
Vol 2 (2) ◽  
pp. 68
Author(s):  
Daniel Setiawan Cahyono ◽  
Shinta Estri Wahyuningrum
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Local Binary Pattern ◽  
Image Transformation ◽  
Digital Text ◽  
Image Preprocessing ◽  
Chain Code ◽  
Image Identification ◽  
Optical Character ◽  
Code Algorithm

Optical Character Recognition (OCR) is a method for computer to process an image that contains some text and then try to find any characters in that image, then convert it to digital text. In this research, Advanced Local Binary Pattern and Chain Code algorithm will be tested to identify alphabets in the image. Several method image preprocessing are also needed, such as image transformation, image rescaling, grayscale conversion, edge detection and edge thinning.

scholarly journals Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

2020 ◽  
Vol 39 (1) ◽  
pp. 145-152
Author(s):  
Muhammad Yasir Zaheen ◽  
Zia Mohi-u-din ◽  
Ali Akber Siddique ◽  
Muhammad Tahir Qadri
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Face Recognition ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition Algorithm ◽  
Security System ◽  
Security Issues ◽  
Optical Character

In recent times due to rise in terrorism, people need to live in a safer place where unidentified persons will not be allowed to enter in the premises. Securing of major areas is a vital issue that needs to be addressed for the intelligence and security agencies. At the surrounding of premises, CCTV (CloseCircuit Television) cameras are usually installed to identify the number plate from database by using OCR (Optical Character Recognition) algorithm. This method of security by identifying only vehicle without verifying the person inside it is usually causing serious security issues. Identification of a person is usually done through image processing by using Viola Jones algorithm and acquire the information of the facial components to create a dataset for machine learning. It is imperative to introduce such a system that will be capable to identify the person along with the number plate of vehicle from the stored database. In this research, a comprehensive security system based on face recognition integrated with the vehicle number plate is proposed. The combined information of both dedicated cameras is then transferred to the based station for identification. This system is capable, of securing premises from crime in a more enhanced way.

scholarly journals Regular Expressions for Web Advertising Detection based on an Automatic Sliding Algorithm

2021 ◽  
Vol 33 (2) ◽  
pp. 65-76
Author(s):  
Donovan Riaño Enriquez ◽  
Rodrigo Pinon-Ayala ◽  
Guillermo Molero-Castillo ◽  
Everardo Barcenas ◽  
Alejandro Velazquez-Mena
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition Algorithm ◽  
Regular Expressions ◽  
Web Browsers ◽  
Web Advertising ◽  
Optical Character ◽  
The Future ◽  
Software Implementations ◽  
Extract Information

This paper presents the automation of a Web advertising recognition algorithm, using regular expressions. Currently, the use of regular expressions, optical character recognition, Databases, and automation tests have been critical for multiple Software implementations. The tests were carried out in three Web browsers. As a result, the detection of advertisements in Spanish, that distract attention and that above all extract information from users was achieved. The main feature of the algorithm is that automatic and versatile execution does not require access to the code of the page in question and that in the future it can be an application with background operation. In addition, being supported by optical character recognition gives us acceptable efficiency in detecting advertising.

scholarly journals Hardware and Software Co-Design of Arabic Alphabets Recognition Platform for Blind and Visually Impaired Persons

2017 ◽  
Vol 11 (1) ◽  
pp. 193-200
Author(s):  
Brahim Sabir ◽  
Yassine Khazri ◽  
Mohamed Moussetad ◽  
Bouzekri Touri
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Visually Impaired ◽  
Recognition Algorithm ◽  
Hardware Platform ◽  
Blind And Visually Impaired ◽  
Optical Character ◽  
Printed Text ◽  
Visually Impaired Persons ◽  
Text Images

Background:Optical character Recognition (OCR) is a technic that converts scanned or printed text images into editable text. Many OCR solutions have been proposed and used for Latin and Chinese alphabets.However not much can be found about OCRs for the handwriting scripts Arabic Alphabets, and especially to be used for blind and visually impaired persons.This paper has been an attempt towards the development of an OCR for Arabic Alphabets dedicated to blind and visually impaired persons.Method:The proposed Optical Arabic Alphabets Recognition algorithm includes binarization of the inputted image, segmentation, feature extraction and a classification based on neural networks to match read Arabic alphabets with trained pattern.The proposed algorithm has been developed using Matlab, and the solution was designed to be implemented on hardware platform and can be customized for mobile phones.Conclusion:The presented method has the benefit that the accuracy of recognition is comparable to other OCR algorithms.

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