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On-line handwritten digit recognition based on trajectory and velocity modeling
2008
Pattern Recognition Letters
Preserved Fulltext
The first one consists of the modeling system of handwriting. In this area, we developed a novel method of the handwritten trajectory modeling based on elliptic and Beta representation. ...
The handwritten signal is on-line collected via a digitizing device, and it is classified as one pre-specified set of characters. ...
Acknowledgements The authors acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRSRT), Tunisia, under the ARUB program ...
doi:10.1016/j.patrec.2007.11.011
fatcat:5uhaux2yfbc7bpjt73isw5z6ra
A New Approach for Arabic Handwritten Postal Addresses Recognition
2012
International Journal of Advanced Computer Science and Applications
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The pre-processing system and the modeling approach are based on two basic steps. The first step is the extraction of the temporal order in the image of the handwritten trajectory. ...
The second step is based on the use of Beta-Elliptical model for the representation of handwritten script. The recognition system is based on Graph-matching algorithm. ...
Lecolinet for their help and contribution during all the phases of project realization. ...
doi:10.14569/ijacsa.2012.030301
fatcat:tpslma7s6ngulou35jbmgcznsa
Arabic Handwriting Recognition Using Restored Stroke Chronology
2009
2009 10th International Conference on Document Analysis and Recognition
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In this paper we present a system of the off-line handwriting recognition. Our recognition system is based on temporal order restoration of the off-line trajectory. ...
We proceed to calculate the curvilinear velocity signal and use the beta-elliptical modeling which is developed in on-line systems to calculate other characteristics. ...
Acknowledgments The authors would like to acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRST), Tunisia, under ...
doi:10.1109/icdar.2009.262
dblp:conf/icdar/ElbaatiBKEAA09
fatcat:xuqj4e7z5becdp7v2qjlgzujaq
Handwritten Character Recognition Using Orientation Quantization Based on 3D Accelerometer
2008
Proceedings of the 5th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
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This paper presents an online handwritten character recognition system. ...
After effective section extraction and lowpass filtering, different quantizing methods based on acceleration orientation are used to quantize numerous data into small integral vectors. ...
The dashed lines mean that for paper-based handwritten characters they should be skipped over, but for acceleration-based ones they are recorded all together with the other strokes and have effect on the ...
doi:10.4108/icst.mobiquitous2008.3898
dblp:conf/mobiquitous/ZhangYZ08
fatcat:ibovp3ubwvcklb3t6gdfxtrdt4
Feature extraction techniques of online handwriting arabic text recognition
2013
2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M)
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Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. ...
Online recognition of Arabic handwritten text has been an ongoing research problem for many years. ...
Here, an on-line system for recognizing handwritten Farsi (Persian) and Arabic digits based on statistical techniques was presented. ...
doi:10.1109/ict4m.2013.6518884
fatcat:3f73k3xzinclrew6bqmy2jqebe
Online and off-line handwriting recognition: a comprehensive survey
2000
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Both the on-line case (which pertains to the availability of trajectory data during writing) and the off-line case (which pertains to scanned images) are considered. ...
(b) On-line word. The xY y coordinates of the pentip are recorded as a function of time with a digitizer. ...
The success of on-line systems makes it attractive to consider developing off-line systems that first estimate the trajectory of the writing from off-line data and then use on-line recognition algorithms ...
doi:10.1109/34.824821
fatcat:d2pq2n2yhra65cq2h7zzllhctm
Training of On-Line Handwriting Text Recognizers with Synthetic Text Generated Using the Kinematic Theory of Rapid Human Movements
2014
2014 14th International Conference on Frontiers in Handwriting Recognition
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On the other hand, on-line handwritten text recognition works using a special digitizer, where a sensor captures the temporal pen-tip sequence (x,y,t). ...
In this work, we focus our attention on on-line handwritten text recognition. ...
doi:10.1109/icfhr.2014.97
dblp:conf/icfhr/Martin-AlboPV14
fatcat:5hk2tmyyzbhrtl7k5ppjy453oy
Experimental study of a novel neuro-fuzzy system for on-line handwritten UNIPEN digit recognition
1998
Pattern Recognition Letters
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This paper presents an on-line hand-printed character recognition system, tested on datasets produced by the UNIPEN project, thus ensuring sufficient dataset size, author-independence and a capacity for ...
ART-based , are used for both clustering and classification. The first task assesses the quality of segmentation and feature extraction techniques, together with an analysis of Shannon entropy. ...
Sanchez for their ´´ć ontributions to the preparation of this paper and all related work made within the group. ...
doi:10.1016/s0167-8655(97)00178-5
fatcat:omnpcli4knacpdg2ljmv4xscrm
A Hybrid NN/HMM Modeling Technique for Online Arabic Handwriting Recognition
[article]
2014
arXiv
pre-print
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The proposed system is based on Hidden Markov Models (HMMs) and Multi Layer Perceptron Neural Networks (MLPNNs). ...
The input signal is segmented to continuous strokes called segments based on the Beta-Elliptical strategy by inspecting the extremum points of the curvilinear velocity profile. ...
Acknowledgment The authors acknowledge the financial support of this work by grants from the General Direction of Scientific Research and Technological Renovation (DGRST), Tunisia, under the ARUB program ...
arXiv:1401.0486v1
fatcat:rguv2fstknhhldd5nkb3f7jcba
A CNN Based Framework for Unistroke Numeral Recognition in Air-Writing
[article]
2023
arXiv
pre-print
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The proposed framework has achieved 97.7%, 95.4% and 93.7% recognition rates in person independent evaluations on English, Bengali and Devanagari numerals, respectively. ...
Gestures are performed using a marker of fixed color in front of a generic video camera, followed by color-based segmentation to identify the marker and track the trajectory of the marker tip. ...
Therefore the CNN model is initially trained on the handwritten digits of the standard MNIST dataset [9] . ...
arXiv:2303.07989v1
fatcat:2ejl4s3mszhstky2wj2shnim3y
ICDAR 2009 Online Arabic Handwriting Recognition Competition
2009
2009 10th International Conference on Document Analysis and Recognition
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A short description of the participating groups, their systems, the experimental setup, and the performed results are presented. 10th International Conference on Document Analysis and Recognition 978-0 ...
The systems were tested on known data (sets 1 to 3) and on one test dataset which is unknown to all participants (set 4). ...
After that, the curvilinear velocity signal and use the beta-elliptical modeling [13] to calculate the features for each word. This approach is validated by HTK-based recognition system [10] . ...
doi:10.1109/icdar.2009.284
dblp:conf/icdar/AbedMKA09
fatcat:7vrc4rfyuje3xbq43fgnzemiwe
Multi-class Boosting for Early Classification of Sequences
2010
Procedings of the British Machine Vision Conference 2010
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In this paper, we extend this model to a multi-class early classification. The derivation is based on the loss function approach, and the developed model is quite simple and effective. ...
We propose a new boosting algorithm for sequence classification, in particular one that enables early classification of multiple classes. ...
(A) On-line handwritten digits recognition task is conducted using Ethem Alpaydim Digit dataset. Trajectories are collected through a pressure sensitive tablet and a wireless stylus pen. ...
doi:10.5244/c.24.24
dblp:conf/bmvc/IshiguroSS10
fatcat:3q5wqxnqnncgbewyhj7ojmiiwy
A Ballistic Stroke Representation of Online Handwriting for Recognition
2013
2013 12th International Conference on Document Analysis and Recognition
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Robust segmentation of ballistic strokes from online handwritten traces is critical in parameter estimation of stroke based models for applications such as recognition, synthesis, and writer identification ...
We also propose a bagof-strokes representation based on ballistic stroke segmentation for online character recognition that improves the state-of-theart recognition accuracies on multiple datasets. ...
Acknowledgment: We thank the Technology Development in Indian Languages (TDIL) initiative of the Department of Electronics and Information Technology (DeitY), India for the financial support of this work ...
doi:10.1109/icdar.2013.175
dblp:conf/icdar/TejaN13
fatcat:leisrseyiffpll3smzqsnf6nca
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
[article]
2018
arXiv
pre-print
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2018 pre-print arXiv:1801.07211v3 fatcat:f2yfqikdafdpbpcrqx7d6iizqyOther Versions
In this paper, we introduce a novel technique to recover the pen trajectory of offline characters which is a crucial step for handwritten character recognition. ...
Hence, pen tip trajectory retrieval from offline text can bridge the gap between online and offline methods. ...
Based on acquisition technique, methods for handwritten character recognition can be classified into two categories: Offline acquisition and Online acquisition. ...
arXiv:1801.07211v4
fatcat:4auaytqckvay7pcmg6fq6jsqta
Handwriting Recognition, Automatic
[chapter]
2006
Encyclopedia of Language & Linguistics
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One method is based on the notion that people write on an imaginary line that forms the core upon which each word of the line resides. ...
'On-line and off-line handwriting recognition: a comprehensive survey.' IEEE Transactions on Pattern Analysis and Machine Intelligence 22(1), 63-84. Srihari S N (1992). ...
Both the dynamic or on-line case (which pertains to the availability of trajectory data during writing) and the static or off-line case (which pertains to scanned images) are considered. ...
doi:10.1016/b0-08-044854-2/00982-2
fatcat:sjqbp24cnrbzpb3yyvbj4mtk5y
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