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Proposition to distinguish machine-printed from handwritten Arabic and Latin words
2014
2014 Information and Communication Technologies Innovation and Application (ICTIA)
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We successfully employed many features to distinguish between handwritten and machine-printed Arabic and Latin scripts at word level. ...
Some of them are previously used in the literature, and the others are here proposed. The new proposed structural features are intrinsic to Arabic and Latin scripts. ...
Recall that [12] proposed an identification system, at word level, based on steerable pyramid transform and using k-NN as classifier. Table VIII summarizes the obtained results. ...
doi:10.1109/ictia.2014.7883770
fatcat:rrqzk3rr3rfb3fqbnidi524qym
How to separate between Machine-Printed/Handwritten and Arabic/Latin Words?
2014
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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This paper gathers some contributions to script and its nature identification. ...
They include some well established features, previously used in the literature, and new structural features which are intrinsic to Arabic and Latin scripts. ...
Recall that [12] proposed an identification system, at word level, based on steerable pyramid transform and using k-NN as classifier. ...
doi:10.5565/rev/elcvia.572
fatcat:ibrnwu7awnfbnmbccnnx2s2k4i
Arabic/Latin and Machine-printed/Handwritten Word Discrimination using HOG-based Shape Descriptor
2015
ELCVIA Electronic Letters on Computer Vision and Image Analysis
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In this paper, we present an approach for Arabic and Latin script and its type identification based on Histogram of Oriented Gradients (HOG) descriptors. ...
Experimental results on a set of words, extracted from standard databases, show that our identification system is robust and provides good word script and type identification: 99.07% of words are correctly ...
Authors in [7] proposed a script identification system, at word level, based on steerable pyramid transform. ...
doi:10.5565/rev/elcvia.762
fatcat:mlnvtrpzcvgmpjogmz3bptwxvi
Last Teen Pixels for Arabic Font Size and Style Recognition
2021
International Journal of Online and Biomedical Engineering (iJOE)
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This classifier is compared in the first time with Back propagation Neural Network and Steerable Pyramid (SP) algorithm to re cognize three font families, then in the second time with Gaussian Mixture ...
Pixels Continuity (PC) algorithm in different matrix direction and some histogram statistics to extract 20 features. ...
Figure 14 illustrate the comparisons between proposed system using pixel Continuity (PC) and Statistical Features (SF) based on majority vote of three KNN and Steerable Pyramid using in the first time ...
doi:10.3991/ijoe.v17i12.25065
fatcat:djnfdmmkojagjefrz2oyd2uybq
An Approach to Script Identification in Multi-language Text Image
2013
2013 6th International Conference on Intelligent Networks and Intelligent Systems
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A character level script identification method to identify Korean, Chinese and English scripts using PCA is proposed in this paper. ...
The experiment results show that proposed method achieved 99.78% high accuracy for correct segmentation which effectively solved the script identification problem for multi-language text image contains ...
In previous work, several methods of automatic script identification have been developed so far, such as, steerable pyramid [2, 5] , multi-wavelet transform [7] , Gabor filters [11, 13] etc. feature ...
doi:10.1109/icinis.2013.70
fatcat:4yyt45cel5b3fness5nehvnnje
Study of Different Features and Classification Techniques for Recognition of Handwritten Devanagari Text
2018
International Journal of Engineering & Technology
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Devanagari script is most popular and an older script in India. ...
Different features and techniques of classification are the most important steps in the process of recognizing Devanagari handwritten word, are described in this paper. ...
Fractal based features
24. Steerable pyramid based features
Script Dependent Feature Set:
1. Textual symbol: character fragments, discrete characters, ad-
joined characters, whole word,
2. ...
doi:10.14419/ijet.v7i4.19.28285
fatcat:5vziba6hgjhchetwyzsrvqclya
Language Identification in Document Images
2016
IS&T International Symposium on Electronic Imaging Science and Technology
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The methods for the writing type recognition and the script discrimination are based on the analysis of the connected components while the language identification approach relies on a statistical text ...
To handle such a problem, we propose a system that performs the following sub-tasks: writing type identification (printed/handwritten), script identification and language identification. ...
Writing type and script identification methods are based on a same approach using a codebook-based feature set. ...
doi:10.2352/issn.2470-1173.2016.17.drr-058
fatcat:ly7eygv2bvasbgbaomykloleva
Language Identification in Document Images
2016
Journal of Imaging Science and Technology
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The methods for the writing type recognition and the script discrimination are based on the analysis of the connected components while the language identification approach relies on a statistical text ...
To handle such a problem, we propose a system that performs the following sub-tasks: writing type identification (printed/handwritten), script identification and language identification. ...
Writing type and script identification methods are based on a same approach using a codebook-based feature set. ...
doi:10.2352/j.imagingsci.technol.2016.60.1.010407
fatcat:g7ho7crb3rb6zc24q46mglicjy
Density Based Script Identification of a Multilingual Document Image
2015
International Journal of Image Graphics and Signal Processing
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, top & bottom profiles [11] [12] , vertical & horizontal profiles [13] , steerable pyramid features [14] , texture features [15] & wavelet energy histogram. ...
Texture features have also been used to determine the script of document images based on the concept that text has a particular visual appearance and a distinct visual texture [24] . ...
doi:10.5815/ijigsp.2015.02.02
fatcat:otdlbu45r5cszlr7bjbwr6hybe
A System for Handwritten Script Identification From Indian Document
2013
Journal of Pattern Recognition Research
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Using some Abstract/Mathematical features, Structure based features and Script dependent features, series of classifiers were used. ...
In this paper we have identified scripts written by popular six official languages of India. Here we have used very simple and efficient features at document level for the same. ...
Fractal based features
24. Steerable pyramid based features
3.
Script
Dependent
1. Textual symbol: character fragments, discrete characters,
adjoined characters, whole word
Feature
2. ...
doi:10.13176/11.485
fatcat:3uu4wmgewrgrlorox7sox3mc44
A New Computational Method for Arabic Calligraphy Style Representation and Classification
2021
Applied Sciences
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The results confirmed the outperformance of both individual and combine features coded by our descriptor. ...
These indices were transformed into a descriptor that defines, for each calligraphy style, a set of specific features. ...
In [11, 12] , the former method has been reinforced against scale changes by using a steerable pyramid texture. Hussein. ...
doi:10.3390/app11114852
fatcat:voqq76tpejg3fdbo2dg2z75hvm
The Dynamics of Lexical Competition During Spoken Word Recognition
2007
Cognitive Science
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In contrast, we use the steerable pyramid (a set of Gaussian derivatives) at different scales and orientations. ...
Notes
In principle, the steerable pyramid can be used to detect the contours. Also referred to in Steyvers and Busey (2000). One point should be noted about the third effect. ...
doi:10.1207/s15516709cog3101_5
fatcat:3ckbk2kmbvgcbcsfpcndt36lyi
Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention
2013
IEEE transactions on multimedia
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The produced summaries, based on low-level features and content-independent fusion and selection, are of subjectively high aesthetic and informative quality. ...
Multimodal streams of sensory information are naturally parsed and integrated by humans using signal-level feature extraction and higher level cognitive processes. ...
Malandrakis and I. Rodomagoulakis for the additional movie annotations, T. ...
doi:10.1109/tmm.2013.2267205
fatcat:jjt7xmjh5narlm5wr2strvrqza
DOCUMENT IMAGE FORGERY AND DETECTION METHODS USING IMAGE PROCESSING TECHNIQUES – A REVIEW
2022
International Research Journal of Modernization in Engineering Technology and Science
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Texts on real estate agreements, for instance, can be changed to make an illegal deal, and the date on a plane ticket can be changed to get past security and into airport terminals. ...
and comparing their best results for further improvement. ...
This method extracts features from the merged image based on quality measurements and histogram-based features. ...
doi:10.56726/irjmets29313
fatcat:dledwy3xt5g45ks544qlvrmvgi
Visual Object Recognition
2011
Synthesis Lectures on Artificial Intelligence and Machine Learning
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Hough transform; window-based descriptors, histograms of oriented gradients and rectangular features; part-based models, star graph models and fully connected constellations; pyramid match kernels; detection ...
KEYWORDS global representations versus local descriptors; detection and description of local invariant features; efficient algorithms for matching local features, tree-based and hashingbased search algorithms ...
Acknowledgments This project began after we gave a tutorial on the subject at AAAI 2008; we thank the conference organizers for hosting that event and the attendees for their questions and feedback. ...
doi:10.2200/s00332ed1v01y201103aim011
fatcat:fhz7aokkfjav7fuauuorfstq4y
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