A survey of modern optical character recognition techniques
Eugene Borovikov
TL;DR
This survey reviews recent advances in OCR technology, covering printed and handwritten recognition for Latin and non-Latin scripts, and discusses benchmark results of various OCR engines.
Contribution
It provides a comprehensive overview of modern OCR techniques, including document enhancement and recognition for diverse scripts, with benchmark comparisons.
Findings
Benchmark results for OCR engines are included.
Advances in handwritten and non-Latin script recognition are discussed.
Document image enhancement techniques are reviewed.
Abstract
This report explores the latest advances in the field of digital document recognition. With the focus on printed document imagery, we discuss the major developments in optical character recognition (OCR) and document image enhancement/restoration in application to Latin and non-Latin scripts. In addition, we review and discuss the available technologies for hand-written document recognition. In this report, we also provide some company-accumulated benchmark results on available OCR engines.
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