Download Digital Document Processing: Major Directions and Recent by Bidyut B. Chaudhuri PDF

By Bidyut B. Chaudhuri

With the arrival of the electronic Library initiative, internet rfile processing and biometric points of electronic rfile processing, including new strategies of revealed and handwritten Optical personality attractiveness (OCR), a superb assessment of this fast-developing box is important. during this e-book, all of the significant and frontier themes within the box of record research are introduced jointly right into a unmarried quantity making a specified reference source.

Highlights include:

• record constitution research by way of OCR of jap, Tibetan and Indian published scripts.

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

• jap postal and Arabic payment processing;

• record photograph caliber modelling, mathematical expression reputation, pictures attractiveness, rfile info retrieval, tremendous solution textual content, metadata extraction in electronic library;

• Biometric and forensic elements: individuality of handwriting detection;

• net rfile research, textual content and hypertext mining and financial institution payment information mining.

Containing chapters written by means of the most eminent researchers energetic during this box, this e-book can function a instruction manual for the examine student in addition to a helping e-book for complicated graduate scholars drawn to rfile 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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Additional resources for Digital Document Processing: Major Directions and Recent Advances (Advances in Pattern Recognition)

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Schomaker, unpublished). Experiments: A: single-word recognition; B−D: three-word sequences, middle-word recognition Exp. 18 Volume Processing 17 a PhD student worked for several years on a single training/test set combination. In order to report reliable classification performance values, it is common to use k-fold cross-validation of systems [12], today. It would even be better if thesis advisors would keep back unseen data, for an objective measurement at project conclusion. 16 Energy and Mental Concentration The reading process in human and machine require energy for both (a) document handling, scanning and (b) computing.

The general theme of this chapter is “know thy enemy”. By an explicit modelling of all hostile factors that influence recognition performer, robust systems can be designed for operation in the real world. A detailed enumeration of noise factors, defects, variations, imperfections and distortions is given. An example of a particular problem class would be the “touching characters”. An argument is made for a number of robustness-enhancing techniques. Although the chapter is not explicitly oriented towards agent-based computing, the design philosophy is based on a clear encapsulation of document-related expertise in specialized modules that are only activated when needed.

Examples are visual elements of background colour, lines and images used as separators, font changes, and so on. Bayesian modelling can be used to estimate the predictive value of visual page attributes in the determination of semantic categories for a web page. Chapter 20 Bank Cheque Data Mining: Integrated Cheque Recognition Technologies by Nikolai Gorski A comprehensive view on an actual cheque-reading system is provided in this chapter. Cheque reading started with attempts to read legal and courtesy amounts on cheques.

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