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