Showing papers on "Sketch recognition published in 1982"
TL;DR: An online handwritten character recognition algorithm, suitable for the home use computer, was developed, which recognizes a quickly written multi-stroke character using dynamic programming based pattern matching technique.
Abstract: An online handwritten character recognition algorithm, suitable for the home use computer, was developed. A character, written on a digitizing tablet, is expressed as a directional angle sequence. In order to recognize a quickly written multi-stroke character, the character pattern is converted into a single interconnected stroke pattern. The recognition is carried out using dynamic programming based pattern matching technique.
63 citations
01 Sep 1982
TL;DR: An overview of computer vision systems, the techniques utilized, applications, the current existing systems and state-of-the-art issues and research requirements, who is doing it and who is funding it, and future trends and expectations are reviewed.
Abstract: An overview of computer vision is provided. Image understanding and scene analysis are emphasized, and pertinent aspects of pattern recognition are treated. The basic approach to computer vision systems, the techniques utilized, applications, the current existing systems and state-of-the-art issues and research requirements, who is doing it and who is funding it, and future trends and expectations are reviewed.
11 citations
Book•
01 Jan 1982
TL;DR: This paper discusses the development of a model for Determining the Frequency of Occurrence of English Language Words and the application of Statistical and Syntactical Methods of Analysis and Classification to Chromosome Data.
Abstract: Section 1 Pattern Recognition Methodology.- Advances in Nonparametric Techniques of Statistical Pattern Classification.- Statistical Pattern Recognition of Binary Variables.- On the Haar Condition in Algorithms for the Optimal Solution of Linear Inequalities.- Pattern Class Representation Related to the Karhunen-Loeve Expansion.- Sample Size Sensitive Entropy.- An Optimal Clustering Method Based on the Rasson's Criterion and Resulting from a New Approach.- Computational Geometric Problems in Pattern Recognition.- A Coding Approach to Pattern Recognition.- Fuzzy Set Theoretic Approach: A Tool for Speech and Image Recognition.- Syntactic Methods in Pattern Recognition.- Hybrid Approaches to Pattern Recognition.- Pattern Recognition of Relational Structures.- Hybrid Pattern Recognition: A Synthesis of the Numerical and Qualitative Approaches.- Fusion of Multisensor Data in Pattern Recognition.- Section 2 Image Understanding and Interpretation.- Artificial Intelligence Approaches to Image Understanding.- Summary of the DARPA Image Understanding Research Program.- Three-Dimensional Object Representation.- Automatic Interpretation of Lines and Text in Circuit Diagrams.- A Modular System for Interpreting Binary Pixel Representations of Line-Structured Data.- Recognition of Time Varying Patterns in Image Sequences.- Section 3 Medical Applications.- Application of Statistical and Syntactical Methods of Analysis and Classification to Chromosome Data.- Attributes for Pattern Recognition Selected by Stepwise Data Compression Supervised by Visual Classification.- Application of Pattern Recognition to Knowledge System Design and Diagnostic Inference.- Applications of Interactive Pattern Recognition.- An Electrocardiographic Signal Understanding System.- Segmentation-Based Boundary Extraction for Endocardial Definition in Cross-Sectional Echocardiography.- Computerised Anatomy Atlas of the Human Brain.- Section 4 Speech Processing and Other Applications.- Decision Theoretic and Structural Pattern Recognition Methods in Speech Processing.- Pattern Recognition and Machine Intelligence Techniques for Electric Power System Security Assessment.- A Multi-Microcomputer Based Reading Machine for the Blind.- Decision-Set Concept with Application to the Recognition of Hand-Printed Numeric Characters.- On the Development of a Model for Determining the Frequency of Occurrence of English Language Words.- Section 5 Panel Discussion.- Summary of Panel Discussion on Decision Theoretic Methods.- Author Index.
5 citations
01 May 1982
TL;DR: A method using models with fuzzy primitives which can, by utilizing the knowledge about the universe and the context of the primitives, correct possible errors in primitive recognition and therefore improve the ability of the recognition system.
Abstract: In structural pattern recognition, the errors in primitive recognition have an important effect on the recognition rate of object. This paper proposes a method using models with fuzzy primitives. It provides a simple and effective approach which can, by utilizing the knowledge about the universe and the context of the primitives, correct possible errors in primitive recognition and therefore improve the ability of the recognition system. In order to apply this method to the on line recognition of handwritten chinese ideographs, a method for feature extraction of graphisms, i.e. MLG method, is developed. Our system is implemented on a micro-computer Apple-II, the experiments for 200 chinese ideographs give satisfactory results.