Accession Number : AD0723236
Title : A Trainable Syntactic Model for Syntax Specification and Recognition of Hand-Drawn Two-Dimensional Patterns.
Descriptive Note : Technical rept.,
Corporate Author : NEW YORK UNIV BRONX DEPT OF ELECTRICAL ENGINEERING
Personal Author(s) : Sharma,Onkar P.
Report Date : JAN 1971
Pagination or Media Count : 137
Abstract : In order to make direct graphic input possible, which provides a most natural interface between a user and a computer, suitable pattern recognition schemes become essential. Schemes that employ feature extraction for recognition are almost invariably problem-oriented and thus lack generality. This dissertation presents the details of a syntactic model for on-line, real-time recognition of handdrawn two-dimensional patterns. The proposed model can handle different classes of patterns in a uniform manner. Theory and algorithms of a grammar-building system are presented. The details of a table-driven analyzer are described. (Author)
Descriptors : (*DATA PROCESSING, *PATTERN RECOGNITION), INPUT OUTPUT DEVICES, DIGITAL COMPUTERS, GRAPHICS, REAL TIME, ELECTRICAL NETWORKS, SYMBOLS, SYNTAX, THESES
Subject Categories : Computer Hardware
Distribution Statement : APPROVED FOR PUBLIC RELEASE