Optical Character Recognition (OCR) is a key technology enabling
access to digital text data. This technique is especially valuable
for Arabic scripts, for which there has been very little digital
access.
Arabic script is widely used today. It is estimated that
approximately 200 million people use Arabic as a first language,
and the Arabic script is shared by an additional 13 languages,
making it the second most widespread script in the world. However,
Arabic scripts pose unique challenges for OCR systems that cannot
be simply adapted from existing Latin character-based processing
techniques.
This comprehensive "Guide to OCR for Arabic Scripts" is the
first book of its kind, specifically devoted to this emerging
field. Presenting state-of-the-art research from an international
selection of pre-eminent authorities, the book reviews techniques
and algorithms for the recognition of both handwritten and printed
Arabic scripts. Many of these techniques can also be applied to
other scripts, serving as an inspiration to all groups working in
the area of OCR.
Topics and features: contains contributions from the leading
researchers in the field; with a Foreword by Professor Bente
Maegaard of the University of Copenhagen; presents a detailed
overview of Arabic character recognition technology, covering a
range of different aspects of pre-processing and feature
extraction; reviews a broad selection of varying approaches,
including HMM-based methods and a recognition system based on
multidimensional recurrent neural networks; examines the evaluation
of Arabic script recognition systems, discussing data collection
and annotation, benchmarking strategies, and handwriting
recognition competitions; describes numerous applications of Arabic
script recognition technology, from historical Arabic manuscripts
to online Arabic recognition.
This authoritative work is an essential reference for all
researchers and graduate students interested in OCR technology and
methodology in general, and in Arabic scripts in particular.
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