Arabic optical character recognition software: A review

Faisal Alkhateeb; Iyad Abu Doush; Abdelraoaf Albsoul

doi:10.1134/S105466181704006X

Arabic optical character recognition software: A review

Faisal Alkhateeb, Iyad Abu Doush, Abdelraoaf Albsoul

Computer Science and Info Systems

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

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 of 8 images from an Arabic book. The APTI database contains 45.313.600 of both decomposable and non-decomposable word images. In the evaluation, we conduct two tests. The first test is based on usual metrics used in the literature. In the second test, we provide a novel measure for Arabic language, which can be used for other non-Latin languages.

Original language	English
Pages (from-to)	763-776
Number of pages	14
Journal	Pattern Recognition and Image Analysis
Volume	27
Issue number	4
DOIs	https://doi.org/10.1134/S105466181704006X
State	Published - 1 Oct 2017

Keywords

APTI database
Arabic OCR systems
error rate
evaluation metrics

Access to Document

10.1134/S105466181704006X

Cite this

@article{daf714b73ba043daab932dcc3a1001ed,

title = "Arabic optical character recognition software: A review",

abstract = "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 of 8 images from an Arabic book. The APTI database contains 45.313.600 of both decomposable and non-decomposable word images. In the evaluation, we conduct two tests. The first test is based on usual metrics used in the literature. In the second test, we provide a novel measure for Arabic language, which can be used for other non-Latin languages.",

keywords = "APTI database, Arabic OCR systems, error rate, evaluation metrics",

author = "Faisal Alkhateeb and {Abu Doush}, Iyad and Abdelraoaf Albsoul",

note = "Publisher Copyright: {\textcopyright} 2017, Pleiades Publishing, Ltd.",

year = "2017",

month = oct,

day = "1",

doi = "10.1134/S105466181704006X",

language = "English",

volume = "27",

pages = "763--776",

journal = "Pattern Recognition and Image Analysis",

issn = "1054-6618",

publisher = "Pleiades Publishing",

number = "4",

}

TY - JOUR

T1 - Arabic optical character recognition software

T2 - A review

AU - Alkhateeb, Faisal

AU - Abu Doush, Iyad

AU - Albsoul, Abdelraoaf

PY - 2017/10/1

Y1 - 2017/10/1

N2 - 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 of 8 images from an Arabic book. The APTI database contains 45.313.600 of both decomposable and non-decomposable word images. In the evaluation, we conduct two tests. The first test is based on usual metrics used in the literature. In the second test, we provide a novel measure for Arabic language, which can be used for other non-Latin languages.

AB - 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 of 8 images from an Arabic book. The APTI database contains 45.313.600 of both decomposable and non-decomposable word images. In the evaluation, we conduct two tests. The first test is based on usual metrics used in the literature. In the second test, we provide a novel measure for Arabic language, which can be used for other non-Latin languages.

KW - APTI database

KW - Arabic OCR systems

KW - error rate

KW - evaluation metrics

UR - http://www.scopus.com/inward/record.url?scp=85037522434&partnerID=8YFLogxK

U2 - 10.1134/S105466181704006X

DO - 10.1134/S105466181704006X

M3 - Article

AN - SCOPUS:85037522434

SN - 1054-6618

VL - 27

SP - 763

EP - 776

JO - Pattern Recognition and Image Analysis

JF - Pattern Recognition and Image Analysis

IS - 4

ER -

Arabic optical character recognition software: A review

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this