Get Digital Document Processing: Major Directions and Recent PDF

By Bidyut B. Chaudhuri

With the arrival of the electronic Library initiative, internet record processing and biometric facets of electronic record processing, including new innovations of published and handwritten Optical personality acceptance (OCR), an exceptional evaluate of this fast-developing box is precious. during this publication, the entire significant and frontier subject matters within the box of record research are introduced jointly right into a unmarried quantity making a specific reference source.

Highlights include:

• rfile constitution research by means of OCR of jap, Tibetan and Indian revealed scripts.

• on-line and offline handwritten textual content popularity approaches;

• jap postal and Arabic fee processing;

• record snapshot caliber modelling, mathematical expression reputation, photographs acceptance, record details retrieval, great solution textual content, metadata extraction in electronic library;

• Biometric and forensic points: individuality of handwriting detection;

• net record research, textual content and hypertext mining and financial institution cost info mining.

Containing chapters written by means of essentially the most eminent researchers lively during this box, this ebook can function a instruction manual for the examine pupil in addition to a assisting booklet for complicated graduate scholars attracted to record processing or photograph analysis.

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Read or Download Digital Document Processing: Major Directions and Recent Advances (Advances in Pattern Recognition) PDF

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Extra info for Digital Document Processing: Major Directions and Recent Advances (Advances in Pattern Recognition)

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1983). Produced and perceived writing slant: difference between up and down strokes. Acta Psychologica, 54, pp. 131–147. 15. G. (1981). Word recognition inside out and outside in. Journal of Experimental Psychology: Human Perception and Performance, 7(3), pp. 538–551. 16. V. (2000). Optical Character Recognition: An Illustrated Guide to the Frontier. Invited paper in Proceedings of SPIE: Document Recognition and Retrieval VII, Volume 3967, San Jose, California, 2000. 17. L. (2004). Visual word recognition: the first half second.

Most document images contain noises and artefacts that are introduced during the document generation or scanning phase. 2 Pre-processing 31 Pre-processing Document Image Noise Removal Skew Correction Background Separation Layout and Structure Analysis Performance Evaluation Segmented Document Structure Analysis Layout Analysis Ground Truth Fig. 2. Schematic diagram of a document layout and structure analysis system. analysis is usually preceded by a pre-processing stage. The pre-processing stage consists of tasks such as noise removal, background separation, skew detection and correction, etc.

For this purpose, we will associate an attribute with each edge that specifies the nature of the relationship. The vertices also have attributes that specify the properties of a region, such as the type, size, location, etc. Such graphs, where the vertices and edges have associated attributes, are called attributed graphs. The graph representation can encapsulate the relationship between regions and their properties. However, in many documents, the attributes are not conclusive during the analysis stage.

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