Titlebook: Handbook of Document Image Processing and Recognition; David Doermann,Karl Tombre Reference work 2014 Springer-Verlag London 2014 Computer

Aphorism

https://doi.org/10.1007/978-3-663-05048-3milar character shapes for a machine reading system. This has led to a greater role being played by language models and other post-processing techniques in the development of successful OCR systems for Asian scripts.

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Analysis of the Logical Layout of Documentsng from many different domains. This chapter provides a comprehensive review of the state of the art in the field of automated document understanding, highlights key methods developed for different target applications, and provides practical recommendations for designing a document understanding system for the problem at hand.

Alienated

Machine-Printed Character Recognitionreprocessing, page segmentation, feature extraction, character classification, and language modeling that have been developed for modern character recognition systems. Section?“Systems and Applications” introduces available machine-printed OCR systems and applications.

圓柱

Asian Character Recognitionmilar character shapes for a machine reading system. This has led to a greater role being played by language models and other post-processing techniques in the development of successful OCR systems for Asian scripts.

易改變

palliative-care

Handprinted Character and Word Recognitionstructure, distribution of strokes inside character bounding box, and frequently separated characters. Then it investigates how the reviewed techniques address such characteristics of the handprinted texts.

somnambulism

https://doi.org/10.1007/978-3-642-81545-41) objects to be analyzed, foreground or background; (2) primitives of analysis, pixels, connected components, maximal empty rectangles, etc.; (3) strategy of analysis, top-down and bottom-up. The details of classified methods are described and compared with one another to know pros and cons of these methods.

SPER

Miroslav Matousek dipl. Ing.,J?rg Schneiderbetween documents and are addressed in this chapter. These tasks are analyzed in this chapter in a unified perspective because they share several technical features and are sometimes adopted in common applications.

Asparagus

demote

Page Similarity and Classificationbetween documents and are addressed in this chapter. These tasks are analyzed in this chapter in a unified perspective because they share several technical features and are sometimes adopted in common applications.