NDLI: Semantic analysis based forms information retrieval and classification

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Semantic analysis based forms information retrieval and classification

Content Provider	Springer Nature Link
Author	Saba, Tanzila Alqahtani, Fatimah Ayidh
Copyright Year	2013
Abstract	Data entry forms are employed in all types of enterprises to collect hundreds of customer’s information on daily basis. The information is filled manually by the customers. Hence, it is laborious and time consuming to use human operator to transfer these customers information into computers manually. Additionally, it is expensive and human errors might cause serious flaws. The automatic interpretation of scanned forms has facilitated many real applications from speed and accuracy point of view such as keywords spotting, sorting of postal addresses, script matching and writer identification. This research deals with different strategies to extract customer’s information from these scanned forms, interpretation and classification. Accordingly, extracted information is segmented into characters for their classification and finally stored in the forms of records in databases for their further processing. This paper presents a detailed discussion of these semantic based analysis strategies for forms processing. Finally, new directions are also recommended for future research.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
Journal	3D Research
Volume Number	4
Issue Number	3
e-ISSN	20926731
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-08-04
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Form processing Data interpretations Preprocessing Validation strategies Semantic analysis Post-processing Signal, Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Optoelectronics, Plasmonics and Optical Devices
Content Type	Text
Resource Type	Article

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