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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Allg. & Lexika Machine Learning in Document Analysis and Recognition
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Machine Learning in Document Analysis and Recognition
(Gebundene Ausgabe, Englisch)
Optischer Zustand
Beschreibung
The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphicalcomponents of a document and to extract information. With ?rst papers dating back to the 1960’s, DAR is a mature but still gr- ing research?eld with consolidated and known techniques. Optical Character Recognition (OCR) engines are some of the most widely recognized pr- ucts of the research in this ?eld,… while broader DAR techniques are nowadays studied and applied to other industrial and o?ce automation systems. In the machine learning community, one of the most widely known - search problems addressed in DAR is recognition of unconstrained handwr- ten characters which has been frequently used in the past as a benchmark for evaluating machine learning algorithms, especially supervised classi?ers. However, developing a DAR system is a complex engineering task that involves the integration of multiple techniques into an organic framework. A reader may feel that the use of machine learning algorithms is not approp- ate for other DAR tasks than character recognition. On the contrary, such algorithms have been massively used for nearly all the tasks in DAR. With large emphasis being devoted to character recognition and word recognition, other tasks such as pre-processing, layout analysis, character segmentation, and signature veri?cation have also bene?ted much from machine learning algorithms. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
10.01.2008
Sprache
Englisch
EAN
9783540762799
Herausgeber
Springer Berlin
Serien- oder Bandtitel
Studies in Computational Intelligence
Sonderedition
Nein
Seitenanzahl
434
Einbandart
Gebundene Ausgabe
Schlagwörter
Document Image Analysis and Recognition (DIAR), Learning Strategies, algorithm, algorithms, calculus, classification, cognition, handwriting recognition, image analysis, layout, learning, machine learning, neural networks, self-organizing map, verification
Thema-Inhalt
TBJ - Mathematik für Ingenieure
UYQ - Künstliche Intelligenz
Höhe
235 mm
Breite
15.5 cm
Transparenz & Sicherheit
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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