Demo Data from VLDB 2026 / reviewers in the wild / expert
Michel C. Rahier
dblp:90/2863
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › document image analysis
character recognition |
0.0 | 1 | 1980 | Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980 |
Multimedia analysis and retrieval
image analysis |
0.0 | 1 | 1980 | Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980 |
Integrated circuit design
ASIC design |
0.0 | 1 | 1980 | Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR System · IEEE Trans. Computers 1980 |
Embedded and real-time systems › control systems
microprocessor-based control |
0.0 | 1 | 1980 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Dedicated LSI for a Microprocessor-Controlled Hand-Carried OCR SystemabstractThe 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. Computers | 1 |