Showing papers on "Sketch recognition published in 1985"
TL;DR: The paper reviews salient issues in the application of conventional techniques for extraction of information and the systems that use the artificial intelligence approach are characterized with respect to three key properties.
62 citations
19 Dec 1985
TL;DR: A speech recognition time warping algorithm is adapted to picture analysis to recognize patterns despite variations in scale and orientation so that objects may be recognized regardless of whether they are embedded in other parts or they are distorted.
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.
11 citations
TL;DR: This paper attempts to discuss some of the methodologies that have been suggested for pattern recognition, and techniques for image processing and speech recognition.
Abstract: Fuzzy set theory, a recent generalization of classical set theory, has attracted the attention of researchers working in various areas including pattern recognition, which has had a seminal influence in the development of this new theory. This paper attempts to discuss some of the methodologies that have been suggested for pattern recognition, and techniques for image processing and speech recognition.
1 citations