Paper
19 December 1985 Pattern Recognition Through Dynamic Programming
B. Burg, Ph. Missakian, B. Zavidovique
Author Affiliations +
Abstract
The aim of this study is to adapt a speech recognition time warping algorithm to picture analysis. Our goal is to recognize patterns despite variations in scale and orientation. We may recognize objects regardless of whether they are embedded in other parts or they are distorted. The programs input real pictures, extract the contours and then encode and compare them to a pattern dictionary. The computer time is particularly short for such a recognition process.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Burg, Ph. Missakian, and B. Zavidovique "Pattern Recognition Through Dynamic Programming", Proc. SPIE 0575, Applications of Digital Image Processing VIII, (19 December 1985); https://doi.org/10.1117/12.966500
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Computer programming

Detection and tracking algorithms

Visualization

Expectation maximization algorithms

Associative arrays

Digital image processing

Speech recognition

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