Titlebook: Structured Document Image Analysis; Henry S. Baird,Horst Bunke,Kazuhiko Yamamoto Book 1992 Springer-Verlag Berlin Heidelberg 1992 Computer

边缘带来墨水

A Top-Down Approach to the Analysis of Document Imagesrst introduced which can represent generic layout structures as a set of rectangular regions, each of which are recursively defined in terms of inclusive rectangular regions. To identify concrete layout structures, the generic descriptions are matched against input document images, and specific item

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Analysis of Scanned Documents — a Syntactic Approachto assign logical labels to its component blocks. These blocks may be fields of text, tables and figures. Publication-specific knowledge is used in the segmentation and labeling of the blocks. The information is meticulously coded in the form of block-grammars used to describe the relationships betw

大炮

Galactogogue

abysmal

Resolving Ambiguity in Segmenting Touching Charactersigh speed. The character segmentation phase extracts characters from a text line. Connected components in a text line image may have to be segmented or combined to form recognizable characters. For example, the character ‘i’ is formed by combining two components. Touching characters are segmented to

暂时中止

Off-line Identification With Handwritten Signature Images: Survey and Perspectivesages, and focuses primarily on preprocessing techniques, feature or primitive extraction methods, comparison processes, and performance evaluation. With these previous studies in mind, we propose, in the second part of this paper, an image-understanding system based on the extraction of a novel repr

Judicious

Difficult Cases in Handwritten Numeral Recognitionhis area. Through an experiment, we investigate the clues and cues used by humans to recognize the most confusing samples of our database. Four algorithms are also applied, individually and in a combined manner, to the same difficult data set. Machine and human performances are compared. Such knowle

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Recognition of Hand-Printed Chinese Characters and the Japanese Cursive Syllabaryreclassifies using cellular features and then classifies by a combination of feature extraction of line segments, an extreme-point method, and a relaxation matching method. Relaxation is a technique using contextual information to reduce local ambiguities: initial probabilities are assigned to match

narcotic

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