Showing papers on "Signature recognition published in 1976"

Pattern Recognition and Image Processing

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.

ADAPT: A Computer System for Automated Data Analysis Using Pattern Recognition Techniques

Abstract: Listed in Table VI is a sampling of the index entries generated from coded phrases via the articulation algorithm during the course of the testing. The index entry ratings assigned by the docuiment analysts are also shown. The purpose of this listing is only to illustrate the quality of text modifications generated by the algorithm. The headings in this listing are the as-dictated headings which have not been subjected to the CAS heading terminology control systems. Therefore, in some cases, the headings shown are not the headings which would appear in the CAS volume indexes.

Automatic speaker recognition by computers

Abstract: Summary form only given, as follows. This paper describes a new modular speaker recognition system consisting of a st of real?time speech analysis processors and a pattern recognition software package. Within a government sponsored research project, combinations of different speech analysis procedures and different pattern recognition algorithms are compared in order to find optimal subsystems, to be applied to security systems or law enforcement, for given boundary conditions. In order to find the influence of different techniques, distance measures, quantisation band distortions on the recognition rate of given data base (2,500 utterances), a study has been carried out, results of which are being discussed.

Study of an on-line, adaptive speaker-independent word recognition system based on acoustic-phonetic analysis and statistical pattern recognition techniques

Abstract: This paper presents the preliminary study of a new approach to Automatic Speech Recognition using Acoustic-Phonetic analysis and Statistical Pattern Recognition techniques. Implementation of an On-Line, Adaptive, Speaker-Independent Word Recognition System is also described to illustrate the approach.

Pattern 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.