ICDAR 2009 Arabic Handwriting Recognition Competition
@article{Mrgner2009ICDAR2A, title={ICDAR 2009 Arabic Handwriting Recognition Competition}, author={Volker M{\"a}rgner and Haikal El Abed}, journal={2009 10th International Conference on Document Analysis and Recognition}, year={2009}, pages={1383-1387} }
This paper describes the Online Arabic handwritingrecognition competition held at ICDAR 2009. This firstcompetition uses the ADAB-database with Arabic onlinehandwritten words. This year, 3 groups with 7 systems areparticipating in the competition. The systems were tested onknown data (sets 1 to 3) and on one test dataset which is unknownto all participants (set 4). The systems are comparedon the most important characteristic of classification systems,the recognition rate. Additionally, the…
Tables from this paper
55 Citations
A survey on the application of recurrent neural networks to statistical language modeling
- Computer ScienceComput. Speech Lang.
- 2015
Guide to OCR for Arabic Scripts
- Computer ScienceSpringer London
- 2012
This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field and describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition.
International Conference on Frontiers in Handwriting Recognition (ICFHR 2010) - Competitions Overview
- Computer Science2010 12th International Conference on Frontiers in Handwriting Recognition
- 2010
This paper presents the 8 competition proposals for competitions to be held in the framework of the 12th International Conference on Frontiers in Handwriting Recognition (ICFHR2010) with lists of competition organizers and lists of participating systems and approaches.
A benchmark for unconstrained online handwritten Uyghur word recognition
- Computer ScienceInternational Journal on Document Analysis and Recognition (IJDAR)
- 2020
A database of Uyghur online handwritten words is presented and the first benchmark experiments using it are carried out, where the proposed 1D convolutional model and its variations surpassed the base recurrent layered model on the out-of-vocabulary words by clear margin.
Analysis of electronic health records based on long short‐term memory
- Computer ScienceConcurr. Comput. Pract. Exp.
- 2020
A long short‐term memory with attention mechanism for mortality prediction is developed that improves the accuracy of prediction, and helps doctors reduce the average diagnostic time.
Shrimp recognition using ShrimpNet based on convolutional neural network
- Engineering, Biology
- 2020
The proposed ShrimpNet is a useful tool with good performance for shrimp recognition and is an important part of the intelligent shrimp aquaculture which is great helpful for the shrimp Aquaculture.
Bayesian Versus Convolutional Networks for Arabic Handwriting Recognition
- Computer ScienceArabian Journal for Science and Engineering
- 2019
The ability of Bayesian and convolutional neural networks (CNNs), as two different machine learning methods, to recognize Arabic handwritten words is analyzed and a deep learning architecture is model: a CNN that convolves learned features with input data and uses 2D Convolutional layers that makes it well suited to 2D word image processing.
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
- Computer ScienceNeurocomputing
- 2016
Urdu Nasta’liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks
- Computer ScienceSpringerPlus
- 2016
Multi-dimensional Long Short Term Memory (MDLSTM) Recurrent Neural Networks with an output layer designed for sequence labeling for recognition of printed Urdu text-lines written in the Nasta’liq writing style achieves a recognition accuracy of 98% for the unconstrained Urdu Nasta'liq printed text, which significantly outperforms the state-of-the-art techniques.
A Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies
- Computer Science, EngineeringPattern Recognit.
- 2015
References
SHOWING 1-10 OF 25 REFERENCES
Combining Slanted-Frame Classifiers for Improved HMM-Based Arabic Handwriting Recognition
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine Intelligence
- 2009
The results show that the combination of classifiers performs better than a single classifier dealing with slant-corrected images and that the approach is robust for a wide range of orientation angles.
Off-line handwritten word recognition using multi-stream hidden Markov models
- Computer SciencePattern Recognit. Lett.
- 2010
Arabic Handwriting Recognition Using Restored Stroke Chronology
- Computer Science2009 10th International Conference on Document Analysis and Recognition
- 2009
This work uses a genetic algorithm to optimize the sequences of handwritten strokes and uses the beta-elliptical modelling which is developed in on-line systems to calculate other characteristics of the off-line handwriting recognition.
Combining Multiple HMMs Using On-line and Off-line Features for Off-line Arabic Handwriting Recognition
- Computer Science2009 10th International Conference on Document Analysis and Recognition
- 2009
This paper presents an off-line Arabic Handwriting recognition system based on the selection of different state of the art features and the combination of multiple Hidden Markov Models classifiers which exceeds the best result of the ICDAR 2005 competition.
Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition
- Computer Science2009 10th International Conference on Document Analysis and Recognition
- 2009
We present a novel confidence-based discriminative training for model adaptation approach for an HMM based Arabic handwriting recognition system to handle different handwriting styles and their…
ICDAR 2009 Handwriting Recognition Competition
- Computer Science2009 10th International Conference on Document Analysis and Recognition
- 2009
This paper describes the handwriting recognition competition held at ICDAR 2009, based on the RIMES-database, with French written text documents, which shows interesting results.
ICDAR 2009 Online Arabic Handwriting Recognition Competition
- Computer Science2009 10th International Conference on Document Analysis and Recognition
- 2009
This paper describes the Online Arabic handwriting recognition competition held at ICDAR 2009, which uses the ADAB-database with Arabic online handwritten words and compares the systems on the most important characteristic of classification systems, the recognition rate.
Improvement of Arabic handwriting recognition systems; combination and/or reject?
- Computer ScienceElectronic Imaging
- 2009
A comparison between two different combination schemes for the improvement of the performance of Arabic handwriting recognition systems based on fixed fusion using logical rules and trainable rules is presented.
Lexicon reduction using dots for off-line Farsi/Arabic handwritten word recognition
- Computer SciencePattern Recognit. Lett.
- 2008
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
- Computer ScienceICML '08
- 2008
This paper shows how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to incorporate a margin term, and shows that the proposed criteria are equivalent to Support Vector Machines with suitable smooth loss functions.