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An Extended Beta-Elliptic Model and Fuzzy Elementary Perceptual Codes for Online Multilingual Writer Identification using Deep Neural Network [article]

Thameur Dhieb, Sourour Njah, Houcine Boubaker, Wael Ouarda, Mounir Ben Ayed, Adel M. Alimi
2018 arXiv   pre-print
In this paper, we present a new effective biometric writer identification system from online handwriting.  ...  Then, from each stroke, we extract a set of static and dynamic features from new proposed model that we called Extended Beta-Elliptic model and from the Fuzzy Elementary Perceptual Codes.  ...  9 Example of perceptual problem decision using fuzzy logic presents an overview on the proposed general architecture of Deep Neural Network training.  ... 
arXiv:1804.05661v4 fatcat:stn222k2bvb3piozn75swir2ku

HANDWRITING RECOGNITION USING HYBRID .TECHNIQUE

Dr. VINITA PATIL
2023 Zenodo  
In the area of handwriting recognition, several methods have been proposed in the literature such as Artificial Neural Network (ANN), Neuro-Fuzzy Systems (NFS), Support Vector Machine (SVM) and deep learning-based  ...  Qu et al. (2018) worked on data augmentation and directional feature maps extraction for in-air handwritten Chinese character recognition based on the convolutional neural network[15].  ...  Sample MNIST dataset In general pre-processing plays a significant role in CNN based handwritten recognition process.  ... 
doi:10.5281/zenodo.7578725 fatcat:dphdiz7khzan3bcwqegzfiugwa

Automatic Signature Verification: The State of the Art

Donato Impedovo, Giuseppe Pirlo
2008 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.  ...  In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with  ...  In Table V , Abu-Rezq and Tolba [2] used a neural approach for signature verification based on moment invariant features and projection-based features.  ... 
doi:10.1109/tsmcc.2008.923866 fatcat:truuxareprc3vluoetwv3yh43y

A survey of deep neural network architectures and their applications

Weibo Liu, Zidong Wang, Xiaohui Liu, Nianyin Zeng, Yurong Liu, Fuad E. Alsaadi
2017 Neurocomputing  
Both Google and Baidu have updated their image search engines based on Hinton's deep learning architecture with great improvements in searching accuracy.  ...  In this paper, we only discuss deep architectures in NNs. Deep neural networks (DNNs), which employ deep architectures in NNs,  ...  Compared with standard classification algorithms such as the C4.5 decision tree method, the supervised fuzzy clustering (SFC) technique, the Fuzzy-GA approach, the radial bases function neural network  ... 
doi:10.1016/j.neucom.2016.12.038 fatcat:nkxvbhp47rfflpi5jev7hk4yq4

A Survey of Historical Document Image Datasets [article]

Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed, Marcus Liwicki
2022 arXiv   pre-print
After a systematic selection process (according to PRISMA guidelines), we select 65 studies that are chosen based on different factors, such as the year of publication, number of methods implemented in  ...  ., 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  ...  for handwriting recognition.  ... 
arXiv:2203.08504v3 fatcat:qbodkyzz4vervnsdbkdrtc3s3m

An analytical study of information extraction from unstructured and multidimensional big data

Kiran Adnan, Rehan Akbar
2019 Journal of Big Data  
Therefore, SLR has been selected for this review article on IE solutions for unstructured big data and followed the well-formed guidelines [7, 8] .  ...  It is necessary to understand the competency and limitations of the existing IE techniques related to data pre-processing, data extraction and transformation, and representations for huge volumes of multidimensional  ...  Rule-based methods have limitations of poor generalizability to implement multilingual recognition system or switching for different languages.  ... 
doi:10.1186/s40537-019-0254-8 fatcat:qy5l55um7feeblec4hxohr3pqa

Proceeding of the 2nd Deep Learning Indaba-X Ethiopia Conference 2021

ejssd journal
2022 Ethiopian Journal of Science and Sustainable Development  
The university also committed to conduct need based problem solving researches for alleviating the problems of the region and the country at large.  ...  Thus, it has made science and technology the pillar of its top priorities for transformation of the economy.  ...  ACKNOWLEDGEMENTS We would like to acknowledge the Ethiopia central statistical agency for providing us the data.  ... 
doi:10.20372/ejssdastu:v0.i0.2022.412 doaj:6184f6f09a8e4521a49a11b6b41cd433 fatcat:jflueovu45aindmlhhvfv7xigy

Compression Using Modified Operator (IFS)

Rashad Al-Jawfi, Baligh Al-Helali, Adil Ahmed, Rashad Al-Jawfi, Baligh Al-Helali, Adil Ahmed, M -Baligh, Sabri Al-Helali, " Mahmoud, Arabic Online, M -Baligh, Sabri Al-Helali (+18 others)
2013 Compression Using Self-Organizing Mapping. Applied Mathematics   unpublished
In [101] , the segmentation is based on the perceptual encoding system by using genetic algorithms (GAs) to detect the global perceptual codes (GPCs) and fuzzy theory for the elementary perceptual codes  ...  [117] presented an Arabic online handwritten digit recognition system that is based on neural networks.  ...  Cursive Text Recognition Detailed Results Here are some of the details of the experimental work of cursive text recognition.  ... 
fatcat:b7ecitj6incydjyq2askol4zmq

Book of Abstracts of the Digital Humanities in the Nordic Countries 5th conference. Riga, 20–23 October 2020 [article]

Sanita Reinsone, Anda Baklāne, Jānis Daugavietis
2020 Zenodo  
Acknowledgements We thank the Fritz Thyssen Foundation for their funding for the research project Distant Viewing.  ...  We thank the Staatsbibliothek Berlin for providing access to the Wegehaupt collection.  ...  An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition. 6. Springmann, U., and Ldeling, A. 2016.  ... 
doi:10.5281/zenodo.4107117 fatcat:6ongky6p5rab7gvtawnjmp2ofm

Short Answer Assessment System with Student Identification using an Automatic Off-line Handwriting Recognition System and Novel Combined Features

Hemmaphan Suwanwiwat, University, My, Michael Blumenstein, Yongsheng Gao
2018
Off-line automatic assessment systems can be an aid for teachers in the marking process. Handwriting Recognition is one of the most intensive areas of study in the field of pattern recognition.  ...  The reason for this is that many schools and universities in many parts of the world still use paper-based examination.  ...  In [117] , the researchers employed HMM and fuzzy logic to recognise online Urdu script-based language.  ... 
doi:10.25904/1912/2907 fatcat:vuseeed425chnjeiqd5hisxt24

Twenty-ninth International Conference INFORMATION AND COMMUNICATION TECHNOLOGIES AND PROGRAMMING ICT&P 2004 Proceedings FOI-COMMERCE SOFIA-2004

Bulgaria Varna
unpublished
For ten years IJ ITA became as well-known international journal. Till now more than 300 papers of more than 500 authors have been published in 10 volumes.  ...  Introduction The research on the topic of adaptive systems has mainly focused on architectures based on knowledge representation and reasoning [1] , fuzzy reasoning [2] [3] and probabilistic models  ...  This representation will help us to apply definitions for the section and the union of fuzzy sets.  ... 
fatcat:hadzyuwqdbd5nmok2jxeeetcli

Multi-Script Off-Line Signature Verification

Pal Srikanta, University, My, Michael Blumenstein
2018
Based on th [...]  ...  A multi-lingual country like India has many different scripts that are used for writing as well as for signing purposes based on different locations or regions.  ...  Quek and Zhou [319] proposed a system based on Fuzzy Neural Networks, in order to eliminate skilled forgeries.  ... 
doi:10.25904/1912/2627 fatcat:hinl3cjsnvbuhd7ryipre2p7eu

Semantic Similarity from Natural Language and Ontology Analysis

Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain
2015 Synthesis Lectures on Human Language Technologies  
The two state-of-the-art approaches for estimating and quantifying semantic similarities/relatedness of semantic entities are presented in detail: the first one relies on corpora analysis and is based  ...  bases.  ...  The language models we will now introduce propose to model language for answering specific tasks in Computational Linguistics or related fields, e.g. machine translation, speech recognition or handwriting  ... 
doi:10.2200/s00639ed1v01y201504hlt027 fatcat:y3tbtmwwqbhydeuaf2dlqk62ui

International Education Studies, Vol.1, No.4, December 2008

Editor IES
2008 International Education Studies  
HUCVTC strengthens course contents of architecture engineering technology specialties that focus on energy saving and ejection decreasing, gives prominence to reform on courses for architecture decoration  ...  The Chinese standard of Singaporean Chinese can be enhanced by specific L2 pedagogies based on her unique multilingual context.  ...  Social skills and responsibility Appendix 3: Mean Score for the Attainment of Learning Outcomes through Courses by Clusters  ... 
doi:10.5539/ies.v1n4p0 fatcat:ixffgazqyjalxduuqbox2qlkom

Do Class and School Size Matter? A Crucial Issue to School Improvement

Elizabeth Cornelius, Raffaella Gaines, Tara Gautney, Gresha Johnson, Robyn Rainer, Charles E. Notar, Shelia A. Webb
2008 International Education Studies  
HUCVTC strengthens course contents of architecture engineering technology specialties that focus on energy saving and ejection decreasing, gives prominence to reform on courses for architecture decoration  ...  The Chinese standard of Singaporean Chinese can be enhanced by specific L2 pedagogies based on her unique multilingual context.  ...  Social skills and responsibility Appendix 3: Mean Score for the Attainment of Learning Outcomes through Courses by Clusters  ... 
doi:10.5539/ies.v1n4p3 fatcat:tzuixqay7zfcxlmutlxoeh2rku
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