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Handwritten Arabic Text Recognition using Principal Component Analysis and Support Vector Machines
2019
International Journal of Advanced Computer Science and Applications
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In this paper, an offline holistic handwritten Arabic text recognition system based on Principal Component Analysis (PCA) and Support Vector Machine (SVM) classifiers is proposed. ...
The classification results of the proposed system were compared with the results produced by a benchmark. ...
For the holistic approaches in text recognition, a universal feature vector is computed for the indivisible input texts or words for them to be classified by using any of a number of machine learning approaches ...
doi:10.14569/ijacsa.2019.0101227
fatcat:jcqppccrmrdx3fgxfy2eko6a6m
Statistical Texture Features based Handwritten and Printed Text Classification in South Indian Documents
[article]
2013
arXiv
pre-print
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In this paper, we use statistical texture features for handwritten and printed text classification. We primarily aim for word level classification in south Indian scripts. ...
In addition, to provide an extensibility of the approach, we address Roman script by using publicly available dataset and interesting results are reported. ...
Proposed Approach We primarily aim for word level classification in south Indian scripts. To handle it, words are first extracted from the scanned document. ...
arXiv:1303.3087v1
fatcat:ga56r72okvgf5kdcxar7aw2xm4
Gaussian Mixture Model for Handwritten Script Identification
[article]
2013
arXiv
pre-print
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This paper presents a Gaussian Mixture Model (GMM) to identify the script of handwritten words of Roman, Devanagari, Kannada and Telugu scripts. ...
It emphasizes the significance of directional energies for identification of script of the word. It is robust to varied image sizes and different styles of writing. ...
Proposed Approach The main aim is to identify the script of the word. To handle it, words are first extracted from the scanned document. ...
arXiv:1303.2751v1
fatcat:mb4x3f5425c7jchmfenfg35we4
Recognition of Online Handwritten Isolated Kannada Characters using PCA and DTW
2019
International journal of recent technology and engineering
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This paper focuses on exploring performance of Principal Component Analysis (PCA) and Dynamic Time Wrapping (DTW) approaches for recognizing online handwritten isolated Kannada characters. ...
Handwriting is a natural means of documentation and communication for several years. ...
principal components are considered for classification. ...
doi:10.35940/ijrte.d7810.118419
fatcat:lnilbbvc7zc75e735wsbzxsx6m
Study of Different Features and Classification Techniques for Recognition of Handwritten Devanagari Text
2018
International Journal of Engineering & Technology
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Different features and techniques of classification are the most important steps in the process of recognizing Devanagari handwritten word, are described in this paper. ...
Recognition of handwritten Devanagari word is one of the popular area of research from decades because of its wide scope of applications. ...
Recognition of Devanagari Handwritten Word Stages of Handwritten Script Recognition
recognition approaches, extracting a set of appropriate, unique and useful features with usage of efficient method/ ...
doi:10.14419/ijet.v7i4.19.28285
fatcat:5vziba6hgjhchetwyzsrvqclya
HANDWRITTEN DEVANAGARI VOWEL RECOGNITION USING ARTIFICIAL NEURAL NETWORK
2017
International Journal of Advanced Research in Computer Science
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This research work proposes new approaches for extracting features in context of Handwritten Devanagari Vowels recognition. For classification technique Artificial Network is used. ...
For the machine the process of reading, understanding and interpretation of handwritten character is difficult task. ...
Principal component analysis is an unsupervised linear procedure that finds a set of uncorrelated features, principal components, from the input. ...
doi:10.26483/ijarcs.v8i7.4560
fatcat:2bbqhg72erd3tfhid4sgsurzka
Neighborhood label extension for handwritten/printed text separation in Arabic documents
2017
2017 1st International Workshop on Arabic Script Analysis and Recognition (ASAR)
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A local classification step, using a Gaussian kernel SVM, associates each pseudo-word into handwritten or printed classes. ...
This paper addresses the problem of handwritten and printed text separation in Arabic document images. The objective is to extract handwritten text from other parts of the document. ...
PROPOSED APPROACH We propose to segment the document into pseudo-lines and pseudo-words based on the proximity and the similarity of connected components. ...
doi:10.1109/asar.2017.8067756
dblp:conf/asar/AwalB17
fatcat:4kmqulpi65aj3gip74afgxlssu
Synthetic data generation for Indic handwritten text recognition
[article]
2018
arXiv
pre-print
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This paper presents a novel approach to generate synthetic dataset for handwritten word recognition systems. ...
Finally, the experiment with Latin text verifies the utility of the approach. ...
Next, top P principal components are extracted from these images and considered for classification. ...
arXiv:1804.06254v1
fatcat:conjxcoii5hmxmx4hfy3uzr5ne
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla Word Recognition
2016
Procedia Computer Science
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A lot of search approaches have been explored for the selection of features in pattern classification domain in order to discover significant subset of the features which produces better accuracy. ...
This confirms the suitability of HS algorithm to the holistic handwritten word recognition problem. ...
The approach has been tested on a limited dataset of 1020 Bangla handwritten words benchmark in the literature. ...
doi:10.1016/j.procs.2016.06.087
fatcat:4nb4l56zojbolcvhy5hybtbaiq
Generalized hidden Markov models. II. Application to handwritten word recognition
2000
IEEE transactions on fuzzy systems
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This is the second paper in a series of two papers describing a novel approach for generalizing classical hidden Markov models using fuzzy measures and fuzzy integrals and their application to the problem ...
This paper presents an application of the generalized hidden Markov models to handwritten word recognition. ...
The authors would also like to thank the referees for their appreciated detailed review of the manscript. ...
doi:10.1109/91.824774
fatcat:xqvbsi6tzvfmvhtg63l3audkpm
Online Handwritten Text Recognition for Indian Scripts
2017
IOSR Journal of VLSI and Signal processing
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Many of the researchers do research for a short period of time as a part of their academic courses. As a result there is a great amount of redundancy in the work related to Indian script OHR. ...
Substantial amount of work has been reported on the online handwriting recognition of Western, Chinese, Japanese, Korean and Arabic Scripts, but few related to Indian scripts. ...
Online HCR system for Kannada using Principal Component Analysis Approach is proposed by Parsad et al. [45] . ...
doi:10.9790/4200-0704013950
fatcat:ingqu5rnx5cznnwmtsqqgzvpvy
ONLINE HANDWRITTEN SIGNATURE RECOGNITION BY PRINCIPAL COMPONENTS AND SUPPORT VECTOR MACHINE
2017
International Journal of Advanced Research
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And then, Principal Component Analysis (PCA) is exploited for features' extraction and Support Vector Machine is utilized as classification operation. ...
In this research Principal Component Analysis (PCA) is used to improve the recognition rate [14] . ...
doi:10.21474/ijar01/3891
fatcat:shs6b3zk45dhdd5tndsld4riny
Machine printed text and handwriting identification in noisy document images
2004
IEEE Transactions on Pattern Analysis and Machine Intelligence
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A Markov Random Field-based (MRF) approach is used to model the geometrical structure of the printed text, handwriting, and noise to rectify misclassifications. ...
A novel aspect of our approach is that we treat noise as a separate class and model noise based on selected features. ...
This research is supported by the US Department of Defense under contract MDA-9040-2C-0406. ...
doi:10.1109/tpami.2004.1262324
pmid:15376881
fatcat:lgsgdijwtfdhhpx5sugjmpsaiu
Off-line Recognition of Persian Handwritten Digits using Statistical Concepts
2012
International Journal of Computer Applications
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In this paper is used the principal components analysis (PCA) to reduce dimension features set. the performance of these three classifiers is observed on this application in terms of the correct classification ...
In this paper a novel method for recognition of Persian handwritten digits is proposed. ...
The number of principal components is less than or equal to the number of original variables. ...
doi:10.5120/8441-2225
fatcat:2us5urak3jhytfjqzd2iq6pbou
A New Approach of a Touchless Virtual Hand for SixthSense Technology
2015
International Journal of Computer Applications
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Taking the advantage of HCI we present a concept of Touchless Virtual Hand (TVH) to aid users a new and cheap way of experiencing multi-touch capabilities, without the need of expensive hardware or software ...
Our proposed Touchless Software Development Kit (SDK) incorporates a convenient Bengali Word Recognition System with the application of thrilling potential of SixthSense technology that can superimpose ...
To recognize word these features should be extracted. So, it is a vital part in handwritten word recognition performance. ...
doi:10.5120/21294-4276
fatcat:5zjpmjx3nvd2paxce2ezvebpuu
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