NDLI: An Embedded OCR Software Architecture for Enhancing Portability

Content Provider	IEEE Xplore Digital Library
Author	Seho Kim Jaehwa Park Young-Bin Kwon
Copyright Year	2007
Description	Author affiliation: Chung-Ang Univ., Seoul (Seho Kim; Jaehwa Park; Young-Bin Kwon)
Abstract	A software architecture style for OCR to increase portability is presented. A hybrid style of four layers, combined with a pipe & filter and layer-type architecture is adopted to reduce the platform dependency keeping the cascading process stream of general OCR. The OCR process constructs a top layer to accomplish the main task. Data manager is separated as a different layer from the top layer, which handles input and knowledge data of the classifier. To provide a unified API, an interface layer is included. A neural network based general OCR source code is totally re-written on the foundation of the proposed style. As a result, confirmed a high portability rate over 99% of source code reuse without modification and performance sacrifices is achieved in the experiment.
Starting Page	1004
Ending Page	1008
File Size	249428
Page Count	5
File Format	PDF
ISBN	9780769528229
ISSN	15205363
DOI	10.1109/ICDAR.2007.4377066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-23
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical character recognition software Software architecture Filters Computer architecture Streaming media Computer science Knowledge management Neural networks Mobile communication Digital cameras
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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