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A study on font-family and font-size recognition applied to Arabic word images at ultra-low resolution
2013
Pattern Recognition Letters
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In this paper, we propose a new font and size identification method for ultra-low resolution Arabic word images using a stochastic approach. ...
The literature has proved the difficulty for Arabic text recognition systems to treat multi-font and multi-size word images. ...
The second is a cascading system working in four steps: font feature extraction, font recognition, word feature extraction and word recognition using font-dependent models. ...
doi:10.1016/j.patrec.2012.09.012
fatcat:ekeowip6evaifdqrem5iii537y
The Optical Character Recognition for Cursive Script Using HMM: A Review
2014
Research Journal of Applied Sciences Engineering and Technology
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Many solutions have been proposed in the literature to solve complexities of cursive scripts character recognition. ...
This paper present a comprehensive literature review of the Optical Character Recognition (OCR) for off-line and on-line character recognition for Urdu, Arabic and Persian languages, based on Hidden Markov ...
The authors reported recognition rate of 69.9% by global multi-font system for word and using cascading multifont system, the average recognition rates was 93.7% for word on the Arabic Printed Text Image ...
doi:10.19026/rjaset.8.1193
fatcat:7cpmia3vgrgttjahnkqqbvwaxy
Benchmarking Strategy for Arabic Screen-Rendered Word Recognition
[chapter]
2012
Guide to OCR for Arabic Scripts
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This database is a large-scale benchmarking of open-vocabulary, multi-font, multi-size and multi-style word recognition systems in Arabic. ...
This chapter presents a new benchmarking strategy for Arabic screenbased word recognition. Firstly, we report on the creation of the new APTI (Arabic Printed Text Image) database. ...
Acknowledgements The authors would like to thank all ICDAR'2011-Arabic Recognition Competition: Multi-Font Multi-Size Digitally Represented Text participants and the anonymous reviewers for their comments ...
doi:10.1007/978-1-4471-4072-6_18
fatcat:zzzsq2vlurfpxlvdcjekrjeo2y
Deep sparse auto-encoder features learning for Arabic text recognition
2021
IEEE Access
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In this work, we introduce a new deep learning based system that recognizes Arabic text contained in images. ...
We propose a novel hybrid network, combining a Bag-of-Feature (BoF) framework for feature extraction based on a deep Sparse Auto-Encoder (SAE), and Hidden Markov Models (HMMs), for sequence recognition ...
In the recent decade, the new tendency in machine learning has been the development of techniques that automatically learn script-independent features for the Arabic text recognition. ...
doi:10.1109/access.2021.3053618
fatcat:p7jhbokjsjbunceuq4lu7xnmci
A Survey on Optical Character Recognition System
[article]
2017
arXiv
pre-print
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Optical Character Recognition (OCR) has been a topic of interest for many years. It is defined as the process of digitizing a document image into its constituent characters. ...
Over the last few years, the number of academic laboratories and companies involved in research on Character Recognition has increased dramatically. ...
ACKNOWLEDGMENT The authors would like to thank Iqra University, Karachi for their support in the completion of this research work. ...
arXiv:1710.05703v1
fatcat:vqwzxnn66ngc3a2vklnapv4e5q
Research on Multilingual Natural Scene Text Detection Algorithm
[article]
2024
arXiv
pre-print
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2023 pre-print arXiv:2312.11153v1 fatcat:sljz3yeew5aa7apxacrydhfmmy
Dealing with the considerable variation in text scales and complex arrangements in natural scene text images, we present the AS-HRFPN feature fusion network by incorporating an Adaptive Spatial Feature ...
Addressing diverse backgrounds and font variations in multilingual scene text images is a challenge for existing methods. Limited local receptive fields hinder detection performance. ...
and features necessary for accurate recognition. ...
arXiv:2312.11153v2
fatcat:vmo4rabydrdpzkp65gknwxql5u
Plate Detection and Recognition of Iraqi License Plate Using KNN Algorithm
2018
Journal of Education College Wasit University
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This paper presents an automated car license plate recognition system applied for Iraqi vehicle plate number that developed and applied to be used in control and law enforcement related applications. ...
In this work, the proposed license plate recognition consists of three basic stages (preprocessing, license plate localization, license plate recognition). ...
The third type is issue in 2012 as a new license plate that issue by using information system for owner car personal information as shown in figure (3) . ...
doi:10.31185/eduj.vol1.iss26.102
fatcat:c6pdo5zbyvbw7dstnoc6poxnkq
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
[article]
2017
arXiv
pre-print
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Chinese font recognition (CFR) has gained significant attention in recent years. ...
Experimental results have confirmed the effectiveness of our new approach for CFR. ...
Zramdini et al. [7] employed a scale-invariant feature transform algorithm to build an Arabic font recognition system. ...
arXiv:1703.05870v2
fatcat:jlq76dz6yvbspgae3s4zbuivvq
Detection and Recognition of Malaysian Special License Plate Based On SIFT Features
[article]
2015
arXiv
pre-print
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Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportation monitoring with least ...
In this paper, an algorithm based on SIFT feature points clustering and matching is proposed to address the issue of recognizing Malaysian special plates. ...
Recently, SIFT algorithm has been applied in Chinese character recognition [2, 4, 7], Farsi/Arabic font recognition [3] and license plate detection [1, 5]. ...
arXiv:1504.06921v1
fatcat:smiixb334bhtzpzgapeawhttam
DELP-DAR System for License Plate Detection and Recognition
[article]
2019
arXiv
pre-print
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For this, we present in this paper an automatic framework for License Plate (LP) detection and recognition from complex scenes. ...
Automatic License Plate detection and Recognition (ALPR) is a quite popular and active research topic in the field of computer vision, image processing and intelligent transport systems. ...
Examples of new Tunisian dataset In the new Tunisian dataset, there are several LP types, colors (black: 60%, blue: 20%, white; 20%), fonts and sizes. ...
arXiv:1910.01853v1
fatcat:pef56qawejauxp37ni3qszlhja
Arabic Text Detection in News Video based on Line Segment Detector
2017
Zenodo
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Then, we propose a word segment identification algorithm based on specific features for Arabic text in order to remove non-text lines. ...
Text embedded in video sequences is very important to semantic indexing and content-based retrieval system, especially for large scale news collection. ...
In this paper, we propose a novel approach for automatic Arabic text detection in news videos frames using a specific geometric feature of Arabic text called baseline in order to perform detection task ...
doi:10.5281/zenodo.6333944
fatcat:mrwvatf4tjclfjz6fsaaepi5re
Robust Handwritten Character Recognition with Features Inspired by Visual Ventral Stream
2008
Neural Processing Letters
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This paper focuses on the applicability of the features inspired by the visual ventral stream for handwritten character recognition. ...
A set of scale and translation invariant C2 features are first extracted from all images in the dataset. ...
The main goal of this database is to help researchers to develop new techniques, technology and algorithms for automatic recognition of handwritten Farsi/Arabic characters. ...
doi:10.1007/s11063-008-9084-y
fatcat:epwuwyhk5verrd7bas26owzerq
A Performance Efficient Technique for Recognition of Telugu Script Using Template Matching
2016
International Journal of Image Graphics and Signal Processing
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Feature extraction and classification processes while developing Optical Character Recognition (OCR) systems involve massive computations and quite expensive especially for South Indian scripts. ...
The proposed system exhibits the recognition efficiency on our own test dataset with an overall accuracy of 83.55% for handwritten characters. ...
fonts, 88% for unknown type written fonts, 98% for numerals and 75% in case of unknown type written fonts. ...
doi:10.5815/ijigsp.2016.08.03
fatcat:yyqrt7xzwvh5tb2xao2byvffsu
A Survey of Historical Document Image Datasets
[article]
2022
arXiv
pre-print
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., scripts, tasks, dates, support systems, and amount of deterioration), the different formats for data and label representation, and the different evaluation processes and benchmarks, finding appropriate ...
In addition, we provide the benchmark tasks and results from these papers or recent competitions. We further discuss gaps and challenges in this domain. ...
For text recognition in normalized text, a 77.58% flex CA is achieved again by the RDI system. ...
arXiv:2203.08504v3
fatcat:qbodkyzz4vervnsdbkdrtc3s3m
A Two-Stage Deep Neural Network for Multi-norm License Plate Detection and Recognition
2019
Expert systems with applications
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We also introduced a new large-scale dataset for automatic LP recognition that includes 9.175 fully annotated images. ...
We show that the system using two YOLO stages performs better in the context of multi-norm and ...
Authors would like also to express their deepest gratitude to our industrial partner KOTECH and to the Tunisian Ministry of the Interior for providing the dataset. ...
doi:10.1016/j.eswa.2019.06.036
fatcat:jbchjduyk5astfb6rhfvn3mdgy
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