CVDec 13, 2014

A survey of modern optical character recognition techniques

arXiv:1412.4183v134 citations
Originality Synthesis-oriented
AI Analysis

It reviews existing technologies for document recognition, which is incremental as it summarizes rather than introduces new methods.

This survey explores recent advances in optical character recognition (OCR) for printed and handwritten documents, including Latin and non-Latin scripts, and provides benchmark results on available OCR engines.

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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