Guide to OCR for Arabic Scripts

Part I: Pre-Processing. - An Assessment of Arabic Handwriting Recognition Technology. - Layout Analysis of Arabic Script Documents. - A Multi-Stage Approach to Arabic Document Analysis. - Pre-Processing Issues in Arabic OCR. - Segmentation of Ancient Arabic Documents. - Features for HMM-Based Arabic Handwritten Word Recognition Systems. - Part II: Recognition. - Printed Arabic Text Recognition. - Handwritten Arabic Word Recognition Using the IFN/ENIT-Database. - RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts. - Arabic Handwriting Recognition using Bernoulli HMMs. - Handwritten Farsi Words Recognition Using Hidden Markov Models. - Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks. - Application of Fractal Theory in Farsi/Arabic Document Analysis. - Multi-Stream Markov Models for Arabic Handwriting Recognition. - Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches. - Part III: Evaluation. - Data Collection and Annotation for Arabic Document Analysis. - Arabic Handwriting Recognition Competitions. - Benchmarking Strategy for Arabic Screen Rendered Word Recognition. - Part IV: Applications. - A Robust Word Spotting System for Historical Arabic Manuscripts. - Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text. - Arabic Handwriting Recognition Using VDHMM and Over-Segmentation. - Online Arabic Databases and Applications. - Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features. - Part I: Pre-Processing. - An Assessment of Arabic Handwriting Recognition Technology. - Layout Analysis of Arabic Script Documents. - A Multi-Stage Approach to Arabic Document Analysis. - Pre-Processing Issues in Arabic OCR. - Segmentation of Ancient Arabic Documents. - Features for HMM-Based Arabic Handwritten Word Recognition Systems. - Part II: Recognition. - Printed Arabic Text Recognition. - Handwritten Arabic Word Recognition Using the IFN/ENIT-Database. - RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts. - Arabic Handwriting Recognition using Bernoulli HMMs. - Handwritten Farsi Words Recognition Using Hidden Markov Models. - Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks. - Application of Fractal Theory in Farsi/Arabic Document Analysis. - Multi-Stream Markov Models for Arabic Handwriting Recognition. - Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches. - Part III: Evaluation. - Data Collection and Annotation for Arabic Document Analysis. - Arabic Handwriting Recognition Competitions. - Benchmarking Strategy for Arabic Screen Rendered Word Recognition. - Part IV: Applications. - A Robust Word Spotting System for Historical Arabic Manuscripts. - Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text. - Arabic Handwriting Recognition Using VDHMM and Over-Segmentation. - Online Arabic Databases and Applications. - Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features.