Download Automatic Digital Document Processing and Management: by Stefano Ferilli PDF

By Stefano Ferilli

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

This accomplished text/reference presents a wide evaluation of the problems excited by dealing with and processing electronic files. reading the complete diversity of a document's lifetime, the e-book covers acquisition, illustration, protection, pre-processing, structure research, knowing, research of unmarried elements, details extraction, submitting, indexing and retrieval. A history wisdom of the realm isn't really required, past familiarity with uncomplicated innovations of computing device technological know-how and arithmetic; deeper technical content material is supplied in discrete subsections that aren't crucial for an figuring out of alternative elements of the book.

Topics and features:

  • With a Foreword through Professor George Nagy of Rensselaer Polytechnic Institute, long island, USA
  • Provides an inventory of acronyms and a thesaurus of technical terms
  • Contains appendices masking key ideas in computer studying, and delivering a case research on development an clever method for electronic record and library management
  • Discusses problems with protection, and felony facets of electronic documents
  • Examines center problems with rfile picture research, and picture processing recommendations of specific relevance to digitized documents
  • Reviews the assets to be had for typical language processing, as well as suggestions of linguistic research for content material handling
  • Investigates equipment for extracting and retrieving data/information from a record, together with illustration at a semantic level

Undergraduate and graduate scholars will locate the textual content a worthwhile basic reference at the topic, and researchers will become aware of how their particular niche is interrelated with different disciplines inquisitive about electronic rfile processing. The booklet additionally offers a repertoire of power technological options for pros 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 resources for Automatic Digital Document Processing and Management: Problems, Algorithms and Techniques

Example text

The symbol frequencies are 13 1 and 13 for w. The two nodes with minimum frequencies (z and w) are connected to 4 a new parent node (let us call it I ), that gets the sum of their frequencies ( 13 ). Now the two nodes without a parent and with minimum frequencies are x and I , that are 8 . Lastly, the only two connected to a new parent II, whose overall frequency is 13 nodes without a parent, II and y, are connected to a new parent R that completes the tree and becomes its root. From the resulting tree (depicted in Fig.

Here, the focus is on the value of a document not just based on its content, but on its physical support as well. The document as an object, in this case, cannot be distinguished by its essence because even a scanned copy would not replace the original. Hence, this perspective is strictly related to the problems of preservation, restoration and wide access. 3 Another term sometimes exploited to convey the same meaning is physical. , air is the physical support of the intangible ‘sound’ documents, and magnetic polarization or electrical signals are the physical support of the intangible ‘digital’ documents.

To make the whole thing even more difficult, all these requirements may have different relevance depending on the aims for which the image is produced. , a mathematical abstract model that allows representing colors in numeric form, and of a suitable mapping function of this model onto perceived colors. 5 Each channel takes on values in a range, that in the following we will assume to be [0, 1] unless otherwise stated. Of course, practical storing and transmission of these values in computer systems may suggest more comfortable byte-based representations, usually as discrete (integer) values in the [0, N − 1] interval (where N = 2k with k the number of bits reserved for the representation of a channel).

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