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A Set of Novel Features for Writer Identification
[chapter]
2003
Lecture Notes in Computer Science
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A system for writer identification is described in this paper. It first segments a given page of handwritten text into individual lines and then extracts a set of features from each line. ...
The proposed method has been tested on a database holding pages of handwritten text produced by 50 writers. ...
Acknowledgment We want to thank Simon Günter for providing guidance and many hints to the first author of this paper. ...
doi:10.1007/3-540-44887-x_79
fatcat:v5rn6klpezam5l4v6igmuz7qjy
Linear Kernel with Weighted Least Square Regression Co-efficient for SVM Based Tamil Writer Identification
2019
International journal of recent technology and engineering
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Tamil writer identification is the task of identifying writer based on their Tamil handwriting. ...
SVM implementation with modified linear kernel is carried out on different text images of handwriting at character, word and paragraph levels. ...
SVM with weighted linear kernel is implemented for three independent datasets and is compared with the linear kernel to evaluate the writer identification model. ...
doi:10.35940/ijrte.b1629.078219
fatcat:cx2jsmmlmnetthi2lfuluojvou
An interactive Tool for Writer Identification based on Offline Text Dependent Approach
2013
International Journal of Advanced Research in Artificial Intelligence (IJARAI)
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An interactive tool has been developed based on the word level writer identification model. ...
This paper proposes the computational intelligence technique to develop discriminative model for writer identification based on handwritten documents. ...
based on the fractal behavior of the writing for writer identification. ...
doi:10.14569/ijarai.2013.020105
fatcat:4zmifh2gajdqjaeobkrqvti7qa
Letter-level Online Writer Identification
[article]
2021
arXiv
pre-print
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Unlike text-\ document-based writer-id which has rich context for identification, there are much fewer clues to recognize an author from only a few single letters. ...
To make the application of writer-id more practical (e.g., on mobile devices), we focus on a novel problem, letter-level online writer-id, which requires only a few trajectories of written letters as identification ...
(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
On the Use of Textural Features for Writer Identification in Old Handwritten Music Scores
2009
2009 10th International Conference on Document Analysis and Recognition
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Writer identification consists in determining the writer of a piece of handwriting from a set of writers. ...
First of all, the music sheet is preprocessed for obtaining a music score without the staff lines. Afterwards, four different methods for generating texture images from music symbols are applied. ...
J.M.Gregori for his help in accessing the historical archives, and V.Kilchherr and Dr. A.Schlapbach for providing support in the experiments. ...
doi:10.1109/icdar.2009.100
dblp:conf/icdar/FornesLSB09
fatcat:62263iauu5asvbtelixsyww5de
Multi-level Modeling of Manuscripts for Authorship Identification with Collective Decision Systems
[chapter]
2012
Lecture Notes in Computer Science
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In this paper a new approach for modeling a manuscript at the word and text line levels is presented. ...
Extensive experimentation with the proposed model shows it to be faster and easier to implement than other models, making it ideal for extensive use in forensic and criminalistics studies. ...
The authors would like to thank the Academic Secretary, COFAA, Postgraduate and Research Secretary, and Centre for Computing Research of the National Polytechnic Institute (IPN), CONACyT and SNI, for their ...
doi:10.1007/978-3-642-33275-3_93
fatcat:ql5xdy3b5nabbitnzflc7khipi
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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In this paper, an automatic approach for line-level handwritten script identification (HSI), considering eight official Indic scripts namely: Bangla, Devanagari, Kannada, Malayalam, Oriya, Roman, Telugu ...
For classification, we divide the whole script dataset based on different regions of India, to study a region-wise classification performance. ...
The CVL Dataset is a public Roman script dataset for writer retrieval, writer identification and word spotting [33] . ...
doi:10.22452/mjcs.vol31no1.5
fatcat:pm4lyewuonfq7pndutk4lmu3ca
Study of Different Features and Classification Techniques for Recognition of Handwritten Devanagari Text
2018
International Journal of Engineering & Technology
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Recognition of handwritten Devanagari word is one of the popular area of research from decades because of its wide scope of applications. ...
Millions of people all over the globe are using Devanagri script for various purposes such as communication, understanding the history, record keeping, research, etc. ...
Digitized script documents were taken for
experiments over four thousand images. Accuracy decreases as
writer increases. (For one writer:97.5%, two writers: 91.8%, three
writers: 79.75%) [6].
G. ...
doi:10.14419/ijet.v7i4.19.28285
fatcat:5vziba6hgjhchetwyzsrvqclya
Overlapping and multi-touching text-line segmentation by Block Covering analysis
2008
Pattern Analysis and Applications
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The system is designed for separating text-lines even if they are overlapping and multi-touching. ...
The large blocks generated by the covering are then segmented by relying on the statistical analysis of block heights. The final labeling into text-lines is based on a block neighboring analysis. ...
This way to set r makes the strip width independent of image width. A Block Covering only depends on the strip width r. ...
doi:10.1007/s10044-008-0127-9
fatcat:v7ycpihc2nhx5c4u7c55wm5qty
Online Handwritten Text Recognition for Indian Scripts
2017
IOSR Journal of VLSI and Signal processing
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In section 4, research work done on online handwriting for Indian scripts is summarized. Challenges of online HCR are discussed in section 5. ...
Online Handwriting Recognition has been a rigorous research area for the last few decades. ...
[11] introduced a writer independent system for online Gurumukhi script recognition. ...
doi:10.9790/4200-0704013950
fatcat:ingqu5rnx5cznnwmtsqqgzvpvy
Writer Verification Using Spatial Domain Features under Different Ink Width Conditions
2016
Journal of Computing Science and Engineering
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In this paper, we present a comparative study of spatial domain features for writer identification and verification with different ink width conditions. ...
We also studied the effect of amount of text and dataset size on verification accuracy. ...
[15] proposed a new method for writer identification based on multi fractal features using combination of on-line and off-line approaches. ...
doi:10.5626/jcse.2016.10.2.39
fatcat:3jasgsnfqffw5as2o4i3wt2hdi
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. ...
The proposed approach is evaluated on the standard QUWI dataset and following the framework protocol described in the ICFHR 2016 competition. ...
Introduction The automated off-line handwriting analysis is one of the most researched problems in pattern recognition, due to its wide variety of applications, such as text recognition, writer identification ...
doi:10.1007/978-3-030-51935-3_25
fatcat:7gkkcu5g2bhadkimi4u42xzoja
A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts
2021
IEEE Access
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A lightweight Convolutional Neural Network (CNN) architecture fused with non-trainable Gabor filters is used as an identification model that can recognize writers from scarce data. ...
Writer identification is the procedure of identifying individuals from handwriting. ...
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
2020 Index IEEE Transactions on Information Forensics and Security Vol. 15
2020
IEEE Transactions on Information Forensics and Security
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., +, TIFS 2020 264-275 Encoding Pathlet and SIFT Features With Bagged VLAD for Historical Writer Identification. ...
Zou, Q., +, TIFS 2020 3197-3212
FragNet: Writer Identification Using Deep Fragment Networks. ...
doi:10.1109/tifs.2021.3053735
fatcat:eforexmnczeqzdj3sc2j4yoige
Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification
2007
Document Recognition and Retrieval XIV
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handwritings) and authentication of writers (for humanistic manuscripts). ...
The aim of this scientific work is to propose a suitable assistance tool for palaeographers and historians to help them in their intuitive and empirical work of identification of writing styles (for medieval ...
Acknowledgments We want to thank the palaeographer Denis Muzerelle from the IRHT of Paris for his advices and recommendations for medieval handwritings classification and also Catherine Volpilhac-Auger ...
doi:10.1117/12.704450
dblp:conf/drr/JoutelEBE07
fatcat:ifftqvsqffch7oe4piriha3zcm
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