Results 141 to 150 of about 226,611 (194)

Arabic OCR evaluation tool

2016 7th International Conference on Computer Science and Information Technology (CSIT), 2016
Performance evaluation of Optical Character Recognition (OCR) systems is an essential task for OCR systems development. However, studies in Arabic OCR suffer from the lack of proper performance evaluation metrics and the availability of evaluation tools.
William Teahan
exaly   +2 more sources

Yarmouk Arabic OCR Dataset

2018 8th International Conference on Computer Science and Information Technology (CSIT), 2018
Optical Character Recognition (OCR) is the process of recognizing characters automatically from scanned or image documents. OCR software uses machine learning to recognize characters in the document. Such software needs to pass a training phase to learn how to recognize the letters in the text.
Iyad Abu Doush
exaly   +2 more sources

Robust metrics for evaluating arabic OCR systems

International Image Processing, Applications and Systems Conference, 2014
Evaluating OCR software is an important task to test the accuracy and to compare the strengths and weaknesses of distinct OCR systems. Research in the past has been done to compare the performance of OCR systems, all metrics used before dependent only on the character accuracy.
Ali Ahmed
exaly   +3 more sources

Effect of OCR error correction on Arabic retrieval

Information Retrieval, 2008
Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR'ed to ease their retrieval. This paper explores the effect of context-based OCR correction on the effectiveness of retrieving Arabic OCR documents using different index terms.
Walid Magdy
exaly   +3 more sources

Neural Networks Pipeline for Offline Machine Printed Arabic OCR

Neural Processing Letters, 2017
In the context of Arabic optical characters recognition, Arabic poses more challenges because of its cursive nature. We purpose a system for recognizing a document containing Arabic text, using a pipeline of three neural networks. The first network model predicts the font size of an Arabic word, then the word is normalized to an 18pt font size that ...
Hazem M Abbas, Mahmoud I Khalil
exaly   +2 more sources

Word-Based Correction for Retrieval of Arabic OCR Degraded Documents

Lecture Notes in Computer Science, 2006
Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR’ed to ease their retrieval. This paper explores the effect of word-based OCR correction on the effectiveness of retrieving Arabic OCR documents using different index terms.
Walid Magdy
exaly   +2 more sources

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