Showing papers on "Sketch recognition published in 1976"
TL;DR: A very brief survey of recent developments in basic pattern recognition and image processing techniques is presented.
Abstract: Extensive research and development has taken place over the last 20 years in the areas of pattern recognition and image processing. Areas to which these disciplines have been applied include business (e. g., character recognition), medicine (diagnosis, abnormality detection), automation (robot vision), military intelligence, communications (data compression, speech recognition), and many others. This paper presents a very brief survey of recent developments in basic pattern recognition and image processing techniques.
153 citations
PARC1
TL;DR: The nature of some of these advances and the state of the art of automatic speech recognition are explained and an introduction to the state-of-the-art is provided.
Abstract: Research toward mechanical recognition of speech is laying the foundation for significant advances in pattern recognition and artificial intelligence This paper explains the nature of some of these advances and provides an introduction to the state of the art of automatic speech recognition
24 citations
14 Oct 1976
TL;DR: This paper presents an approach to improving the interface between the user and the computer by replacing the typical action-response dialogue with a looser scheme in which inferences are drawn from user actions.
Abstract: This paper presents an approach to improving the interface between the user and the computer by replacing the typical action-response dialogue with a looser scheme in which inferences are drawn from user actions. The recognition of hand-drawn sketches is offered as a paradigm for use of this technique in the field of computer-aided design. In design problems, the computer offers the capabilities of exteriorization and transformation. Although transformation processes are widely used in design aids, the computer has found little use as a medium of exteriorization because of difficulty of graphical input. The program described here employs a model of the user as a means of inferring user intent as a function of sequence, speed, and pressure. It is proposed that this modeling technique can be applied to interactive graphics systems, leading to a better interface for the solution of design problems.
6 citations
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TL;DR: Applications of pattern recognition include character recognition, target detection, medical diagnosis, analysis of biomedical signals and images, remote sensing, identification of human faces and fingerprints, reliability, speech recognition and understanding, and machine parts recognition.
Abstract: During the past fifteen years, there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need for theoretical methods and experimental software and hardware for use in the design of pattern recognition systems. A number of books have been published on this subject,1-16and some special pattern recognition machines have been designed and built for practical use. Applications of pattern recognition include character recognition,12target detection, medical diagnosis, analysis of biomedical signals and images, remote sensing, identification of human faces and fingerprints, reliability,17socio-economics,18speech recognition and understanding,19and machine parts recognition.
1 citations