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Michel C. Rahier

dblp:90/2863 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1980
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 50% Image and video processing · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 77% Embedded and real-time systems · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › document image analysis
character recognition
0.011980
Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980
Multimedia analysis and retrieval
image analysis
0.011980
Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980
Integrated circuit design
ASIC design
0.011980
Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980
Embedded and real-time systems › control systems
microprocessor-based control
0.011980
Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980

Methods — techniques the papers use, named apart from their topics

thinning · 0.0feature extraction · 0.0edge detection · 0.0
YearPublicationVenuePosition
1980 Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System
abstract
The binary picture processing and recognizing stages of an optical character recognition (OCR) system have been designed using both flexibility of available microprocessors and speed of peripheral custom-designed integrated circuits. A dedicated large-scale integrated (LSI) processor performs edge detection and thinning of a 32 × 24 digitized one-piece pattern. The output signal–a set of 3 bit vectors describing the skeletonized character contour–feeds a microprocessor which controls the character recognition algorithm including pattern segmentation, filtering, feature extraction, and classification decision. This low-cost equipment is especiaUy suitable for hand-carried OCR systems where well-formed printed alphanumerics are to be read. However, continously deformed patterns like carefully handprinted characters are recognized as well. A system reading speed of 100 characters/s (or 30 cm/s) can be achieved.
Michel C. Rahier, Paul G. A. Jespers
IEEE Trans. Computers1