A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Invariant behavioural based discrimination for individual representation
2021
International Journal of Power Electronics and Drive Systems (IJPEDS)
Preserved Fulltext
The invariants-based discriminability of the features is proposed by discretizing the moment features of each writer using biometric invariant discretization cutting point (BIDCP). ...
Writer identification based on cursive words is one of the extensive behavioural biometric that has involved many researchers to work in. ...
ACKNOWLEDGEMENTS This research is sponsored partly by the School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia. ...
doi:10.11591/ijece.v11i1.pp736-744
fatcat:byx5urr3gjfm7fsqne3yc5l5nu
Invariant Handwriting Features Useful in Cursive-Script Recognition
[chapter]
1994
Fundamentals in Handwriting Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The within-writer variability of handwriting forms one of the problems in the automatic recognition of cursive script. ...
., "strokes", which can be identified by invariant segmentation. ...
Subsequently, this motor program needs to be adapted to each concrete execution condition. ...
doi:10.1007/978-3-642-78646-4_9
fatcat:i26cu2wdxjgafjwf2it7h6mgve
Parsimonious Coding and Verification of Offline Handwritten Signatures
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this work, sparse dictionary learning and coding are for the first time employed as a means to provide a feature space for offline signature verification, which intuitively adapts to a small set of ...
Among others, the offline or static signature is a valuable tool in forensic related studies. Thus, the importance of verifying static handwritten signatures still poses a challenging task. ...
Dictionary atoms are adapted to the particular characteristics of the extracted image patches, and represent important directions of this space. ...
doi:10.1109/cvprw.2017.92
dblp:conf/cvpr/ZoisTTE17
fatcat:nvy763pbgbdfvgxzjvxmnew4ci
An Unsupervised Writer Identification Based on Generating Clusterable燛mbeddings
2023
Computer systems science and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
The proposed model utilized the IAM dataset for the experiment as it is inconsistent with contributions from the authors but is easily accessible for writer identification tasks. ...
Furthermore, the trained baseline architecture generates the embedding of the data image, and the K-means algorithm is used to distinguish the embedding of individual writers. ...
Lots of gratitude and appreciation to the Advanced Machine Learning lab, BUBT; Computer Vision & Pattern Recognition Lab, UAP; Database System Lab, UoA; for research facilities and publication guidelines ...
doi:10.32604/csse.2023.032977
fatcat:nutdrdyelbgrdkf4rlqx5ytmn4
Abnormal effective connectivity in the sensory network in writer's cramp
2021
NeuroImage: Clinical
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Writer's cramp (WC), a task specific form of dystonia, is considered to be a motor network disorder, but abnormal sensory tactile processing has also been acknowledged. ...
In addition to increased SDT, patients with WC exhibited dysfunctional sensory processing in the sensory cortex, insula, basal ganglia and cerebellum in a functional magnetic resonance imaging (fMRI) study ...
Acknowledgments We are indebted to the patients and healthy volunteers for participating in this study. ...
doi:10.1016/j.nicl.2021.102761
pmid:34298476
pmcid:PMC8378794
fatcat:ol7r45jfuzhwvozjiijo3hudgi
Curvelets Based Queries for CBIR Application in Handwriting Collections
2007
Proceedings of the International Conference on Document Analysis and Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
As it belongs to the Wavelet family, this representation can be useful at several scales of details. ...
The proposed scheme for handwritten shape characterization targets to detect oriented and curved fragments at different scales so as to compose an unique signature for each handwritten analyzed samples ...
Acknowledgments: We want to thank the palaeographer Denis Muzerelle from the IRHT of Paris for his advices for medieval handwritings classification and also Catherine Volpilhac-Auger from the CERPI of ...
doi:10.1109/icdar.2007.4376995
dblp:conf/icdar/JoutelEBE07
fatcat:bzvuox3qefeern5624vgnka2gi
Authorship Categorization With Neural Network
2012
Southeast Europe Journal of Soft Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Artificial neural network is proposed to classify the texts of authors using a set of lexical descriptors and feed-forward neural network using back propagation. ...
This paper explores the use of neural networks in author classification. Also exploring the effect of stylometry is another aim of the research. ...
Neural network (NN) is a machine that is designed to model the way in which the brain performs a particular task or function [9] . ...
doi:10.21533/scjournal.v1i2.62
fatcat:h4mmzw57yjhmpiskdkw6hrkkp4
From sound to shape: Auditory perception of drawing movements
2014
Journal of Experimental Psychology: Human Perception and Performance
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The comparisons made between recorded and synthesized sounds lead to conclude that the timbre variations induced by the velocity profile enabled the shape recognition. ...
Further investigations of our ability to recognize drawn shapes were carried out in two association tasks in which both recorded and synthesized sounds had to be associated to both distinct and similar ...
In the ecological perspective, the concept of invariant is formalized with the notion of affordances, which can be defined as the ability of an object, here a sound, to evoke its use. ...
doi:10.1037/a0035441
pmid:24446717
fatcat:yqaca34hqjdcrbxptlfrmdlwym
Recognition of Online Handwritten Gurmukhi Strokes Using Support Vector Machine
[chapter]
2012
Advances in Intelligent Systems and Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Online handwriting recognition systems are expected to exhibit better performance than offline handwriting recognition systems. ...
Our research work presented in this thesis is to recognize strokes written in Gurmukhi script using Support Vector Machine (SVM). The system developed here is a (viii) ...
Connell and Jain (2002) approach was to make writer adaptation from writer independent writing style models to identify the styles present in a particular writer's training data. ...
doi:10.1007/978-81-322-1038-2_42
fatcat:xsccalurk5evblklynyh6i76pm
Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition
2022
ELCVIA Electronic Letters on Computer Vision and Image Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition. ...
The proposed network works efficiently for training as well as testing and exhibits a good recognition performance. ...
They explored adaptive boosting and bagging technique to improve the recognition results. ...
doi:10.5565/rev/elcvia.1282
doaj:79f2647a90ab493c964edeed1f32a0b1
fatcat:xtdejstt6rcifkaphvjn5f6fmy
Online recognition of chinese characters: the state-of-the-art
2004
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
The target of recognition has shifted from regular script to fluent script in order to better meet the requirements of practical applications. ...
restriction of recognition to isolated characters only. ...
ACKNOWLEDGMENTS The authors are grateful to the anonymous reviewers for their invaluable comments and suggestions, which led to improvements to the presentation quality of this paper. ...
doi:10.1109/tpami.2004.1262182
pmid:15376895
fatcat:j75xqkn3kvdgxo6yyu526xhsvi
Rotation invariant indexing of shapes and line drawings
2005
Proceedings of the 14th ACM international conference on Information and knowledge management - CIKM '05
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2006; you can also visit the original URL.
The file type is application/pdf.
The object signatures are eventually projected into a space the renders them invariant to translation, scaling and rotation. ...
Using the Hough Transform we extract shape signatures that correspond to important features of an image. ...
The rotation invariant distance measure Drot is defined as: Drot(x, y) = min i=0...N −1 D(x, Ci(y)), where Ci is the circular rotation operator. ...
doi:10.1145/1099554.1099580
dblp:conf/cikm/VlachosVYA05
fatcat:6wmcqzmjargmvcyse7fdcwhqqi
Automatic processing of Historical Arabic Documents: A comprehensive Survey
2019
Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Second, we classify this task into four applications of automatic processing of HAD: i) Analyze the document to extract the main text ii) Identify the writer of the document iii) Recognize some words or ...
First, due to complicated nature of Arabic script compared to other scripts and second because the documents are ancient. ...
The evaluated local features are the Scale-Invariant Feature Transform
tending the training set with the augmented data on the performance of Historical Arabic sub-words recognition. ...
doi:10.1016/j.patcog.2019.107144
fatcat:gq5ywnsxwbfxjloxr36o3yrgrq
NEW APPROACH FOR ONLINE ARABIC MANUSCRIPT RECOGNITION BY DEEP BELIEF NETWORK
2018
Acta Polytechnica
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
To remedy this, we used a deep learning through the Deep Belief Network (DBN) that resulted in a 97.08% success rate of recognition for Arabic words. ...
The use of a classical neural network methods has been beneficial for the character recognition, but revealed some limitations for the recognition rate of Arabic words. ...
To obtain an invariant representation with respect to the translations and the spatial distortions. ...
doi:10.14311/ap.2018.58.0297
fatcat:ilcvq7wudjclzp363a3sfamp5u
Exploring sound perception through vocal imitations
2020
Journal of the Acoustical Society of America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A continuous and sparse model adapted to the specificities of the vocal imitations was then developed and used to analyze the imitations. ...
Results show that participants were able to highlight salient elements of the sounds that partially correspond to the invariants used in the sound corpus. ...
ACKNOWLEDGMENTS This work was financed by the National Research Agency (ANR), within the Sonimove project (Project reference: ANR-14-CE24-0018).
APPENDIX: SELF-REPORTS TABLE ...
doi:10.1121/10.0001224
pmid:32486800
fatcat:urspiir4ufde5jmhoxwdllywpe
« Previous
Showing results 1 — 15 out of 3,494 results