Recognition technology frontiers
Identifieur interne : 003426 ( Main/Exploration ); précédent : 003425; suivant : 003427Recognition technology frontiers
Auteurs : Henry S. Baird [États-Unis]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1993.
English descriptors
- Teeft :
- Accurate classifiers, Algorithm, Algorithmic pattern recognition, April, Artificial intelligence, Automatic analysis, Baird, Baseline, Bell laboratories, Bell labs, Character images, Character recognition, Chess notation, Classifier, Classifier confidence scores, Code recognition, Computational linguistics, Confidence scores, Defect, Digit, Digitizing resolution, Document analysis, Engineering process, Geometric layout analysis, Handwritten, Handwritten digits, Iapr workshop, Ieee trans, Imaging defects, Layout analysis, Linguistic context, Machine lntell, Machine vision, Manual effort, Mountain avenue, Multiple knowledge sources, Neural, Neural network, Neural networks, Page reader, Pattern anal, Pattern recognition letters, Postal address recognition, Postal address recognition problems, Postal service, Potential application, Proc, Punctuation, Punctuation rules, Reading order, Recent years, Recognition technologies, Recognition technology frontiers, Room murray hill, Segmentation, Speed goals, Symbol recognition, Symbol sets, Technological basis, Text lines, Text size, Text sizes, Trainable, Training sets, Transition probabilities, Wide range, Wide variety.
Abstract
Abstract: Rapid improvements in hardware and algorithms are reshaping the technological basis of postal address recognition. An increasingly important theme is automation of the engineering process itself, through trainable classifiers, realistic distortion models, and statistical contextual analysis. Relevant basic research at AT&T Bell Laboratories includes VLSI neural networks, algorithmic pattern recognition, computational linguistics, and artificial intelligence. Interdisciplinary application of these has stimulated improvements in handwritten ZIP code recognition, machine-print address recognition, and address block location.
Url:
DOI: 10.1016/0167-8655(93)90098-X
Affiliations:
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Baird</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>AT&T Bell Laboratories, 600 Mountain Avenue, Room 2C-322, Murray Hill, NJ 07974-0636</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Pattern Recognition Letters</title><title level="j" type="abbrev">PATREC</title><idno type="ISSN">0167-8655</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1993">1993</date><biblScope unit="volume">14</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="327">327</biblScope><biblScope unit="page" to="334">334</biblScope></imprint><idno type="ISSN">0167-8655</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0167-8655</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Accurate classifiers</term><term>Algorithm</term><term>Algorithmic pattern recognition</term><term>April</term><term>Artificial intelligence</term><term>Automatic analysis</term><term>Baird</term><term>Baseline</term><term>Bell laboratories</term><term>Bell labs</term><term>Character images</term><term>Character recognition</term><term>Chess notation</term><term>Classifier</term><term>Classifier confidence scores</term><term>Code recognition</term><term>Computational linguistics</term><term>Confidence scores</term><term>Defect</term><term>Digit</term><term>Digitizing resolution</term><term>Document analysis</term><term>Engineering process</term><term>Geometric layout analysis</term><term>Handwritten</term><term>Handwritten digits</term><term>Iapr workshop</term><term>Ieee trans</term><term>Imaging defects</term><term>Layout analysis</term><term>Linguistic context</term><term>Machine lntell</term><term>Machine vision</term><term>Manual effort</term><term>Mountain avenue</term><term>Multiple knowledge sources</term><term>Neural</term><term>Neural network</term><term>Neural networks</term><term>Page reader</term><term>Pattern anal</term><term>Pattern recognition letters</term><term>Postal address recognition</term><term>Postal address recognition problems</term><term>Postal service</term><term>Potential application</term><term>Proc</term><term>Punctuation</term><term>Punctuation rules</term><term>Reading order</term><term>Recent years</term><term>Recognition technologies</term><term>Recognition technology frontiers</term><term>Room murray hill</term><term>Segmentation</term><term>Speed goals</term><term>Symbol recognition</term><term>Symbol sets</term><term>Technological basis</term><term>Text lines</term><term>Text size</term><term>Text sizes</term><term>Trainable</term><term>Training sets</term><term>Transition probabilities</term><term>Wide range</term><term>Wide variety</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Rapid improvements in hardware and algorithms are reshaping the technological basis of postal address recognition. An increasingly important theme is automation of the engineering process itself, through trainable classifiers, realistic distortion models, and statistical contextual analysis. Relevant basic research at AT&T Bell Laboratories includes VLSI neural networks, algorithmic pattern recognition, computational linguistics, and artificial intelligence. Interdisciplinary application of these has stimulated improvements in handwritten ZIP code recognition, machine-print address recognition, and address block location.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>New Jersey</li></region></list><tree><country name="États-Unis"><region name="New Jersey"><name sortKey="Baird, Henry S" sort="Baird, Henry S" uniqKey="Baird H" first="Henry S." last="Baird">Henry S. Baird</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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