NDLI: An object-oriented kernel for geographical information systems

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Multiple word segmentation with interactive look-up for cursive script recognition

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Handwritten numeral recognition based on multiple feature extractors

Classifier combination for hand-printed digit recognition

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Joint normalization and recognition of degraded document images using psuedo-2D hidden Markov models

Reading constrained text using hierarchical hidden Markov models

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Large-set handwritten character recognition with multiple stochastic models

Sophisticated topology of hidden Markov models for cursive script recognition

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Initial learning of document structure

An elastic matching approach applied to digit recognition

Making a personal recognition dictionary from characters automatically generated by using handwriting model

A Markov language model in Chinese text recognition

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A character image enhancement method from characters with various background images

Image continuation

Document skew detection based on local region complexity

A bar code location algorithm using a two-dimensional approach

Bar code localization using texture analysis

Stroke segmentation as a basis for structural matching of Chinese characters

A multi-stage algorithm of extracting joint points for generating function-fonts

Structural feature extraction on multiple bases with application to handwritten character recognition systems

Primitives segmentation and association for a line character

Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten words

Handprinted numeral recognition with the learning quadratic discriminant function

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Generalized interpretation of optimization methods for labeling problems

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Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93)

An object-oriented kernel for geographical information systems

Content Provider	IEEE Xplore Digital Library
Author	Lin, Y.M. Sagara, T. Ohsawa, Y. Sakauchi, M.
Copyright Year	1993
Description	Author affiliation: Tokyo Univ., Japan (Lin, Y.M.; Sagara, T.)
Abstract	The development of a graphical kernel for geographical information systems is reported. It is based on a multi-dimensional data structure called GBD tree which provides an efficient environment for spatial data retrieval. Graphic entities are classified and represented by a small set of primitive geometrical entities which are implemented as a C++ class library. Applications can derive their own data types from the providing kernel by exploiting the IFO object-oriented data model. Although the main purpose is to support the GIS applications, it can be expected that this graphic kernel can be extended to a general-purpose one for graphic applications.<>
Starting Page	878
Ending Page	881
File Size	389986
Page Count	4
File Format	PDF
ISBN	0818649607
DOI	10.1109/ICDAR.1993.395597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Information systems Graphics Data models Geographic Information Systems Shape Object oriented modeling Data structures Information retrieval Libraries
Content Type	Text
Resource Type	Article

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