Experimental evaluation of Arabic OCR systems

Performance Evaluation of Two Arabic OCR Products

Numerous Optical Character Recognition (OCR) companies claim that their products have near-perfect recognition accuracy (close to 99.9%). In practice, however, these accuracy rates are rarely achieved. Most systems break down when the input document images are highly degraded, such as scanned images of carbon-copy documents, documents printed on low-quality paper, and documents that are n-th ge...

Arabic Optical Character Recognition (OCR) Evaluation in Order to Develop a Post-OCR Module

ARABASE: A Relational Database for Arabic OCR Systems

In this paper we present a database for the research of Arabic off-line and on-line handwriting optical recognition as well as for machine printed text optical recognition. Digital images of documents, text phrases, words/sub-words, isolated characters, digits, signatures, soon are and included in ARABASE. Data corresponds to a variety of lexes (cities names, literal amounts, isolated character...

Multistage Hybrid Arabic/Indian Numeral OCR System

The use of OCR in postal services is not yet universal and there are still many countries that process mail sorting manually. Automated Arabic/Indian numeral Optical Character Recognition (OCR) systems for Postal services are being used in some countries, but still there are errors during the mail sorting process, thus causing a reduction in efficiency. The need to investigate fast and efficien...

Arabic OCR Segmented - based System Hassanin

A new investigation in the Arabic OCR system has presented for the offline recognition of machineprinted cursive words. Therefore, a reliable transformation mechanism will be used to transform image text into free text (ASCII or Unicode Texts), that can be directly searched by a computer. Therefore, traditional preprocessing model (segmentation phase) will be included to extract each word from ...