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Arabic Handwritten Signature Identification
2013
˜Al-œRafidain journal for computer sciences and mathematics
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This paper proposes a new intelligent off-line Arabic handwritten signature identification and verification system based on texture analysis. ...
The experimental results showed that the proposed system is efficient and competent with other state-of-the-art texture-based offline signature identification systems. ...
Results The experimental results are presented to show the effectiveness of the proposed offline Arabic handwritten signature identification, which estimates the texture features by using the fractal number ...
doi:10.33899/csmj.2013.163525
fatcat:xysca34q2zbnpmlnezs5sfa7um
AUTOMATIC LINE-LEVEL SCRIPT IDENTIFICATION FROM HANDWRITTEN DOCUMENT IMAGES - A REGION-WISE CLASSIFICATION FRAMEWORK FOR INDIAN SUBCONTINENT
2018
Malaysian Journal of Computer Science
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We consider a 148-dimensional feature vector using: image component fractal dimension, structural and visual appearance, directional stroke, interpolation and Gabor energy based texture features. ...
Script identification is a well-studied problem for automatic processing of document images. Several attempts have been made so far, but it is still far ahead from the complete solution. ...
QUWI or Qatar University Writer Identification dataset [32] is an Arabic and Roman sentence level handwritten dataset build in the year 2013. ...
doi:10.22452/mjcs.vol31no1.5
fatcat:pm4lyewuonfq7pndutk4lmu3ca
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
[article]
2020
arXiv
pre-print
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After carefully following study selection process 142 articles were selected for this SLR. ...
This review article serves the purpose of presenting state of the art results and techniques on OCR and also provide research directions by highlighting research gaps. ...
It can be used for word and sentence recognition, and writer identification [149] . ...
arXiv:2001.00139v1
fatcat:p3rdutz35besxfxf7suozt7r2u
Handwriting Based Gender Classification Using COLD and Hinge Features
[chapter]
2020
Lecture Notes in Computer Science
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This paper presents a new method based on Cloud of Line Distribution (COLD) and Hinge feature for distinguishing the gender from handwriting. ...
Gender Classification from handwriting is still considered to be challenging due to homogeneous vision comparing male and female handwritten documents. ...
, and the writer identification, where the variability needs to be highlighted to arise differences between all writers. ...
doi:10.1007/978-3-030-51935-3_25
fatcat:7gkkcu5g2bhadkimi4u42xzoja
Recognition of handwritten Arabic (Indian) numerals using skeleton matching
2020
Indonesian Journal of Electrical Engineering and Computer Science
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This paper aims to overcome this limitation and introduces optical character recognition system based on skeleton matching. The proposed approach is used for handwritten Arabic numbers only. ...
However, there has been a limited success when applied to the handwritten Arabic (Indian) numbers. ...
The KHATT database [25] is a comprehensive offline handwritten Arabic text database that is designed to be used in Arabic text recognition research, writer identification and verification research and ...
doi:10.11591/ijeecs.v19.i3.pp1461-1468
fatcat:gfwc27cslrawxa7vj3cjjmrzdm
A Survey on Offline Signature Recognition and Verification Schemes
2012
IOSR Journal of Electronics and Communication Engineering
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Even today thousands of financial and business transactions are being authorized via signatures. ...
An iterative leave-one-out method was used for training and for testing genuine test signatures. A database with 55 writers was used with 24 training signatures and 24 skilled forgeries per writer. ...
For each experiment, 25 writers are used with 10 training signatures, 10 genuine test signatures, 10 skilled forgeries, and ten casual forgeries per writer. ...
doi:10.9790/2834-0233438
fatcat:mlomnaosnjgv7pirk6uhhdi3mu
Script Recognition using GLCM and DWT Features
IJARCCE - Computer and Communication Engineering
2015
IJARCCE
IJARCCE - Computer and Communication Engineering
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In this paper a method is proposed for identification of Roman, Devanagari, Kannada, Tamil, Telugu and Malayalam scripts at text block level using features of Correlation property of Gray Level Co-occurrence ...
Matrix (GLCM) and multi resolutionality of Discrete Wavelet Transform (DWT) of input handwritten document text blocks. ...
[13] have presented an offline writer identification method using gray level co-occurrence matrix based features for English, Kannada and Hindi handwritten documents written by same writer and obtained ...
doi:10.17148/ijarcce.2015.4157
fatcat:ful5ldvmyvcujnccsr5ryjjemu
Automatic Multi-lingual Script Recognition Application
2018
GEMA Online® Journal of Language Studies
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Currently, only few attempts have been made for automated script identification of off-line handwritten documents images. ...
The seven major scripts used in this research are in handwritten style including Arabic, Devanagari, Hebrew, Thai, Greek, Cyrillic and Korean. ...
ACKNOWLEDGEMENT The author would like to thank the Faculty of Information Science and Technology and Center for Research and Instrumentation Management of the Universiti Kebangsaan Malaysia for providing ...
doi:10.17576/gema-2018-1803-12
fatcat:iowk7af7wnh3flnrswf2aoyzu4
Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network
[article]
2019
arXiv
pre-print
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Our method uses a multimodal deep network which takes both offline and online modality of the data as input in order to explore the information from both the modalities jointly for script identification ...
Hence, along with the advantage of utilizing information from both the modalities, it can work as a single framework for both offline and online script identification simultaneously which alleviates the ...
Given a vast literature for multi-modal learning, we attempt to use a deep multi-modal framework to explore the joint information from both offline and online handwritten data for script identification ...
arXiv:1802.08568v3
fatcat:tycp3xjjfjcsncyorib42l3vxm
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script
[article]
2019
arXiv
pre-print
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Accordingly, correct boundaries are retained and incorrect are removed based on ensemble neural networks vote. ...
Hence, non-linear segmentation is an utmost need to avoid loss of characters parts and to enhance character/script recognition accuracy. ...
International Journal of
Image Processing, vol.2(3) , pp. 29-35
[41] Saba, T. (2018) Fuzzy ARTMAP Approach for Arabic Writer Identification using Novel
Features Fusion, Journal of Computer Science ...
arXiv:1904.12592v1
fatcat:37c4g4b35ncjzmler56zpxlina
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
2020
IEEE Access
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After carefully following study selection process 176 articles were selected for this SLR. ...
This review article serves the purpose of presenting state of the art results and techniques on OCR and also provide research directions by highlighting research gaps. ...
It can be used for word and sentence recognition, and writer identification [169] . ...
doi:10.1109/access.2020.3012542
fatcat:f5bfni5kbfhf3i63lvv3t6pena
Off-line Uyghur signature recognition based on modified grid information features
2012
2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)
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Then multi-dimensional modified grid information features were extracted according to the character of Uyghur signature and its writing style. ...
In this paper, we propose methods for off-line signature recognition for Uyghur handwriting first time. The signature images were pre-processed based on the nature of Uyghur signature. ...
[3] presented Radon Transform and Fractal Dimension (FD) based offline signature recognition system. ...
doi:10.1109/isspa.2012.6310446
dblp:conf/isspa/UbulAAYH12
fatcat:dadz3fyxnbac5cmmus3p46bd6e
A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts
2021
IEEE Access
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Writer identification is a common interest in biometric authentication and verification systems, and numerous studies are available for English, Chinese, Arabic, and Persian specific handwriting. ...
For the experiment, we used BanglaWriting dataset, which is openly available for Bengali writing and writer recognition. Further, we added Devanagari and Telugu datasets for evaluation. ...
ACKNOWLEDGMENT The authors would like to thank the Advanced Machine Learning (AML) lab for resource sharing and precious opinions. ...
doi:10.1109/access.2021.3114799
fatcat:4ktqpgrl6fa6pcjmequfku7rpq
Letter-level Online Writer Identification
[article]
2021
arXiv
pre-print
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Identification in existing writer-id studies requires a complete document or text, limiting the scalability and flexibility of writer-id in realistic applications. ...
In addition, we also contribute a large-scale LEtter-level online wRiter IDentification dataset (LERID) for evaluation. ...
(2011) Multi-fractal modeling for on-line text-independent writer Maaten, L.v.d., Hinton, G., (2008). Visualizing data using t-SNE. Jour-
identification. ...
arXiv:2112.02824v1
fatcat:bpoeipcq25hf3et4sfnsd7ar64
Convolution Based Technique for Indic Script Identification from Handwritten Document Images
2015
International Journal of Image Graphics and Signal Processing
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Determination of script type of document image is a complex real life problem for a multi-script country like India, where 23 official languages (including English) are present and 13 different scripts ...
An average identification accuracy rate of 94.4% is obtained on the test set. The average Bi-script and Tri-script identification accuracy rate was found to be 98.2% and 97.5% respectively. ...
Using fractal based features Moussa et al. [9] identified Arabic and Latin scripts from line level handwritten document. M. Hangarge et al. ...
doi:10.5815/ijigsp.2015.05.06
fatcat:2vwtddlveza37dbno5x22j52te
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