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Language Identification by Using SIFT Features

Nikos Tatarakis, Ergina Kavallieratou
2015 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
Finally, a multi class Support Vector Machine classification scheme is used, to score the system.  ...  Two novel techniques for language identification of both, machine printed and handwritten document images, are presented.  ...  An one-against -all SVM classification is used. The idea behind one-against-all approach is, to train Support Vector Machine models each one separating one class from the rest.  ... 
doi:10.14569/ijarai.2015.041206 fatcat:e5yqlz4z2rf3zbvdytx47wcja4

Evaluation of Ensemble Classifiers for Handwriting Recognition

M. Govindarajan
2013 International Journal of Modern Education and Computer Science  
A Classifier ensemble is designed using Radial Basis Function (RBF) and Support Vector Machine (SVM) as base classifiers.  ...  One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate component classifiers.  ...  network and support vector machine.  ... 
doi:10.5815/ijmecs.2013.11.02 fatcat:sj42fc3ajfcnvi3q34y2tcdhdu

A Survey on Arabic Handwritten Script Recognition Systems

Soumia Djaghbellou, Abderraouf Bouziane, Abdelouahab Attia, Zahid Akhtar
2021 International Journal of Artificial Intelligence and Machine Learning  
In this paper, we present the global structure of an OCR system, with its types (on-line and off-line), categories (printed and handwritten) and its main steps.  ...  We also focused on off-line handwritten Arabic character recognition and provided a list of the main datasets publicly available.  ...  (Al-Jubouri, 2017) proposed a system for isolated Arabic handwritten characters based on two classifiers, i.e., support vector machine (SVM) and neural network (NN).  ... 
doi:10.4018/ijaiml.20210701.oa9 fatcat:eyf77ynim5cpdi6fkgwhmm656m

Ensembles of Classification Methods for Data Mining Applications

M. Govindarajan
2013 International Journal of Information Engineering and Electronic Business  
A Classifier ensemble is designed using Radial Basis Function (RBF) and Support Vector Machine (SVM) as base classifiers.  ...  One of the major developments in machine learning in the past decade is the ensemble method, which finds highly accurate classifier by combining many moderately accurate component classifiers.  ...  network and support vector machine.  ... 
doi:10.5815/ijieeb.2013.06.02 fatcat:qirapbvyzrhx5ihw4yzqxtbwbe

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, Mueen Uddin
2020 IEEE Access  
The objective of this review paper is to summarize research that has been conducted on character recognition of handwritten documents and to provide research directions.  ...  Given the ubiquity of handwritten documents in human transactions, Optical Character Recognition (OCR) of documents have invaluable practical worth.  ...  [173] , convolutional neural network (CNN) based on support vector machine (SVM) is explored for recognizing offline handwritten Arabic.  ... 
doi:10.1109/access.2020.3012542 fatcat:f5bfni5kbfhf3i63lvv3t6pena

Design of Offline and Online Writer Inference Technique

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Hence authorship identification finds its application in forensic document analysis.  ...  It is also considered as one of the biometric features of a person, so helps in security to uniquely identify a person.  ...  Multiclass Support Vector Machine Multiclass Support Vector Machines (SVM) is normally used for prediction and classification problems.  ... 
doi:10.35940/ijitee.b1129.1292s219 fatcat:i37high5xbhdxg6xehhrzdof3i

A survey on optical character recognition for Bangla and Devanagari scripts

SOUMEN BAG, GAURAV HARIT
2013 Sadhana (Bangalore)  
The past few decades have witnessed an intensive research on optical character recognition (OCR) for Roman, Chinese, and Japanese scripts.  ...  In this paper, we present a review of OCR work on Indian scripts, mainly on Bangla and Devanagari-the two most popular scripts in India.  ...  As part of script identification, Hindi words are identified from bilingual or multi-lingual documents based on features of the Devanagari script and using support vector machines.  ... 
doi:10.1007/s12046-013-0121-9 fatcat:4fna65koxfhw7hwehsrjhe34ma

A robust authorship attribution on big period

Mubin Shoukat Tamboli, Rajesh Prasad
2019 International Journal of Electrical and Computer Engineering (IJECE)  
We applied support vector machine algorithm for classification. Effective results and outcome came out from the experiments.  ...  It is observed that accuracy varied on feature type. Word and character n-gram have shown good accuracy than PoS n-gram.  ...  Support Vector Machine act as discriminating classifier which separates data sample through a hyperplane. A number of hyperplanes separate out data sample into number of classes.  ... 
doi:10.11591/ijece.v9i4.pp3167-3174 fatcat:truu5jfvejbivdfafdzucnjftq

Lifelong learning for text retrieval and recognition in historical handwritten document collections [article]

Lambert Schomaker
2019 arXiv   pre-print
The ball-park principle is introduced, which describes the evolution from the sparsely-labeled stage that can only be addressed by traditional methods or nearest-neighbor methods on embedded vectors of  ...  This chapter provides an overview of the problems that need to be dealt with when constructing a lifelong-learning retrieval, recognition and indexing engine for large historical document collections in  ...  For instance, with 50 positive examples of a class and an appropriate number of counter examples, support-vector machines (SVMs) can be trained for a more advanced form of targeted (specialized) pattern  ... 
arXiv:1912.05156v1 fatcat:k4prbvki4nf6bkmov2mu726gye

Fine-Tuned Pre-Trained Model for Script Recognition

Mamta Bisht, Richa Gupta
2021 International journal of mathematical, engineering and management sciences  
Secondly, a well-performed model on Devanagari handwritten characters dataset has been adopted and fine-tuned for the Kaggle Devanagari numeral dataset for numeral recognition.  ...  But if we have limitations on these requirements then we need to think of alternative methods.  ...  It contains 36 Devanagari handwritten character classes and 10 Devanagari handwritten digit classes.  ... 
doi:10.33889/ijmems.2021.6.5.078 fatcat:r77hqwszqngvtnrwq23xpwmvly

Angular Symmetric Axis Constellation Model for off-line Odia Handwritten Characters Recognition

Pyari Mohan Jena, Soumya Ranjan Nayak
2018 International Journal of Advances in Applied Sciences  
Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form.  ...  This empirical model generates a unique angle based boundary points on every skeletonised character images.  ...  In this regard we have chosen two well liked classifier namely support vector machine (SVM) [24] and random forest tree (RFT) [25] for recognition of handwritten characters.  ... 
doi:10.11591/ijaas.v7.i3.pp265-272 fatcat:m6t4s3mrtvdzhcyycy6u4mdwni

Angular Symmetric Axis Constellation Model for Off-line Odia Handwritten Characters Recognition

Pyari Mohan Jena, Soumya Ranjan Nayak
2018 International Journal of Informatics and Communication Technology (IJ-ICT)  
Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form.  ...  This empirical model generates a unique angle based boundary points on every skeletonised character images.  ...  In this regard we have chosen two well liked classifier namely support vector machine (SVM) [24] and random forest tree (RFT) [25] for recognition of handwritten characters.  ... 
doi:10.11591/ijict.v7i2.pp96-104 fatcat:6nrdxfgi2feexo2kaqf6dmsvke

Combining Classifiers with Informational Confidence [chapter]

Stefan Jaeger, Huanfeng Ma, David Doermann
2008 Studies in Computational Intelligence  
In experimental evaluations for script identification, and both handwritten and printed character recognition, we achieve a consistent improvement on the best single recognition rate.  ...  In order to do so, we assume that information depends on the actual performance of each confidence value on an evaluation set.  ...  Support Vector Machine (SVM): SVMs were first introduced in the late seventies, but are now receiving increased attention.  ... 
doi:10.1007/978-3-540-76280-5_7 fatcat:3nirsj35hbd2xolitln5s7xid4

Writer identification approach based on bag of words with OBI features

Amal Durou, Ibrahim Aref, Somaya Al-Maadeed, Ahmed Bouridane, Elhadj Benkhelifa
2017 Information Processing & Management  
Handwriter identification aims to simplify the task of forensic experts by providing them with semiautomated tools in order to enable them to narrow down the search to determine the final identification  ...  of an unknown handwritten sample.  ...  Then, these features are fed to a Multiclass SVM (Support Vector Machine) for classification.  ... 
doi:10.1016/j.ipm.2017.09.005 fatcat:qpbtxr6jrvbftph7d3lnaojniu

Derin Öğrenme Araştırma Alanlarının Literatür Taraması

M. Mutlu Yapıcı, Adem Tekerek, Nurettin Topaloğlu
2019 Gazi Mühendislik Bilimleri Dergisi  
Çalışmada Özerk Araçlar (Autonomous Vehicles), Doğal Dil İşleme (Natural Language Processing), El Yazısı Karakter Tanıma (Handwritten Character Recognition), İmza Doğrulama (Signature Verification), Ses  ...  This study investigated DL studies which are made in the most popular and challenging fields such as autonomous vehicles, natural language processing, handwritten character recognition, signature verification  ...  They combined the unsupervised hybrid model with the one-class support vector machines (OCSVM) to visually monitor an urban scene.  ... 
doi:10.30855/gmbd.2019.03.01 fatcat:2sv7dg7elrfqppcjx5otzmb7pi
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