A Method of Recognition of Arabic Cursive Handwriting
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey and bibliography of Arabic optical text recognition
Signal Processing
An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Handwritten Cursive Arabic Characters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fuzzy-Syntactic Approach to Allograph Modeling for Cursive Script Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Data Base for Arabic Handwritten Text Recognition Research
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Handwritten Sentence Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Off-Line Recognition of Isolated Persian Handwritten Characters Using Multiple Hidden Markov Models
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
HMM Based Approach for Handwritten Arabic Word Recognition Using the IFN/ENIT- Database
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Printed arabic character recognition using HMM
Journal of Computer Science and Technology
Arabic Handwriting Recognition Using Baseline Dependant Features and Hidden Markov Modeling
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combination of HMM-Based Classifiers for the Recognition of Arabic Handwritten Words
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Pattern Recognition Letters
Recognition of off-line printed Arabic text using Hidden Markov Models
Signal Processing
Combining Slanted-Frame Classifiers for Improved HMM-Based Arabic Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic Segment Modeling for Offline Handwriting Recognition
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Improvements in BBN's HMM-Based Offline Arabic Handwriting Recognition System
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Off-line handwritten word recognition using multi-stream hidden Markov models
Pattern Recognition Letters
Markov models for offline handwriting recognition: a survey
International Journal on Document Analysis and Recognition
Polygonal approximation of digital planar curves through adaptive optimizations
Pattern Recognition Letters
A database for offline arabic handwritten text recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Recognition of Arabic (Indian) bank check digits using log-gabor filters
Applied Intelligence
Arabic handwritten text recognition using structural and syntactic pattern attributes
Arabic handwritten text recognition using structural and syntactic pattern attributes
Arabic handwriting recognition using structural and syntactic pattern attributes
Pattern Recognition
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
KHATT: Arabic Offline Handwritten Text Database
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
| Hi-index | 0.01 |
A comprehensive Arabic handwritten text database is an essential resource for Arabic handwritten text recognition research. This is especially true due to the lack of such database for Arabic handwritten text. In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) consisting of 1000 handwritten forms written by 1000 distinct writers from different countries. The forms were scanned at 200, 300, and 600 dpi resolutions. The database contains 2000 randomly selected paragraphs from 46 sources, 2000 minimal text paragraph covering all the shapes of Arabic characters, and optionally written paragraphs on open subjects. The 2000 random text paragraphs consist of 9327 lines. The database forms were randomly divided into 70%, 15%, and 15% sets for training, testing, and verification, respectively. This enables researchers to use the database and compare their results. A formal verification procedure is implemented to align the handwritten text with its ground truth at the form, paragraph and line levels. The verified ground truth database contains meta-data describing the written text at the page, paragraph, and line levels in text and XML formats. Tools to extract paragraphs from pages and segment paragraphs into lines are developed. In addition we are presenting our experimental results on the database using two classifiers, viz. Hidden Markov Models (HMM) and our novel syntactic classifier. The database is made freely available to researchers world-wide for research in various handwritten-related problems such as text recognition, writer identification and verification, forms analysis, pre-processing, segmentation. Several international research groups/researchers acquired the database for use in their research so far.