Stefano Ferilli's Automatic Digital Document Processing and Management: PDF

By Stefano Ferilli

ISBN-10: 0857291971

ISBN-13: 9780857291974

Computer-readable files became ubiquitous in lifestyle - from legacy files which have been digitized, to new files which have been created electronically. because the variety of digital records keeps to develop, so does the significance of electronic equipment for processing and coping with those documents.

This accomplished text/reference offers a extensive overview of the problems considering dealing with and processing electronic files. analyzing the total variety of a document's lifetime, the booklet covers acquisition, illustration, safety, pre-processing, format research, figuring out, research of unmarried elements, info extraction, submitting, indexing and retrieval. A historical past wisdom of the world isn't required, past familiarity with easy options of laptop technology and arithmetic; deeper technical content material is equipped in discrete subsections that aren't crucial for an knowing of different components of the book.

Topics and features:

  • With a Foreword through Professor George Nagy of Rensselaer Polytechnic Institute, big apple, USA
  • Provides an inventory of acronyms and a word list of technical terms
  • Contains appendices protecting key techniques in desktop studying, and delivering a case examine on development an clever method for electronic record and library management
  • Discusses problems with safeguard, and felony facets of electronic documents
  • Examines middle problems with record photograph research, and photo processing thoughts of specific relevance to digitized documents
  • Reviews the assets to be had for traditional language processing, as well as concepts of linguistic research for content material handling
  • Investigates equipment for extracting and retrieving data/information from a rfile, together with illustration at a semantic level

Undergraduate and graduate scholars will locate the textual content a invaluable basic reference at the topic, and researchers will observe how their particular niche is interrelated with different disciplines concerned about electronic record processing. The publication additionally provides a repertoire of capability technological suggestions for execs engaged on electronic documents.

Dr. Stefano Ferilli is an affiliate professor on the collage of Bari, Italy, the place he's Director of the Interdepartmental middle for good judgment and Applications.

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Extra info for Automatic Digital Document Processing and Management: Problems, Algorithms and Techniques

Example text

There is no single root yet) (a) Among the nodes that do not still have a parent, select two whose associated frequency is minimum (b) Insert a new node that becomes the parent of the two selected nodes and gets as associated frequency the sum of the frequencies of such nodes 3. In the resulting tree, mark each left branch as ‘1’ and each right branch as ‘0’ Lastly, the binary code of each symbol is obtained as the sequence of branch labels in the path from the root to the corresponding leaf.

Additional problems are intrinsic to the original item: • Presence of undesired layout elements, as in the case of bleedthrough; • Overlapping components, such as stamps and background texture; • Lack of layout standard, in the document organization or in its content, as for handwritten or non-standard alphabets and letters. Moreover, often the digitization process must include extraction of the document content as well, in order to store each component thereof in a way that is suitable for its specific kind of content.

More space can be saved as follows. Notice that all insertions in D are in the form P s, where P is already in D. Thus, instead of explicitly reporting P s in the new entry, it is possible to insert (c, s), where c is the code for P (that usually has a shorter bit representation than P itself). 3 (LZW compression of a sample sequence) Consider the following string to be compressed: xyzzxyyzxywxy ⇓ String w x y z xy yz zz zx xyy yzx xyw wx Compact w x y z 1+y 2+z 3+z 3+x 4+y 5+x 4+w 0+x Code10 0 1 2 3 4 5 6 7 8 9 10 11 Code2 0000 0001 0010 0011 0100 0101 0110 0111 1000 1001 1010 1011 ⇑ 1 2 3 3 4 5 4 0 4 0001 0010 0011 0011 0100 0101 0100 0000 0100 In this case, the string to be compressed is 26 bits long (13 symbols × 2 bits needed to encode each symbol in an alphabet of 4) and the compressed string is 36 bits long (9 codes × 4 bits needed to represent each).

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Automatic Digital Document Processing and Management: Problems, Algorithms and Techniques by Stefano Ferilli


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