Syntactic Pattern Recognition, Applications
The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, call...
Other Authors: | |
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1977, 1977
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Edition: | 1st ed. 1977 |
Series: | Communication and Cybernetics
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction to Syntactic Pattern Recognition.
- 1.1 Syntactic (Structural) Approach to Pattern Recognition
- 1.2 Syntactic Pattern Recognition System
- 1.3 Selection of Pattern Primitives
- 1.4 Pattern Grammar
- 1.5 High-Dimensional Pattern Grammars
- 1.6 Syntax Analysis as Recognition Procedure
- 1.7 Concluding Remarks
- References
- 2. Peak Recognition in Waveforms.
- 2.1 What is a Peak?
- 2.2 Practical Peak Recognition
- 2.3 Application to Electrocardiography
- 2.4 Concluding Remarks
- References
- 3. Electrocardiogram Interpretation Using a Stochastic Finite State Model.
- 3.1 The Interpretation Problem
- 3.2 A Solution to the Interpretation Problem
- 3.3 A Simple Example
- 3.4 Application to Analog Signal Processing
- 3.5 An Example Application
- 3.6 The Solution to the Clock Signal Interpretation Problem
- 3.7 A Sample Clock Signal Search Tree
- 3.8 Conclusion
- References
- 4. Syntactic Recognition of Speech Patterns.
- 4.1 Background
- 4.2 Preprocessing and Feature Extraction
- 4.3 Syntax-Controlled Segmentation of Continuous Speech
- 4.4 Syntactic Recognition of Syllables and Words
- 4.5 Linguistic Interpretation of Speech Patterns
- 4.6 Automatic Learning of Speech Patterns
- 4.7 Conclusions
- References
- 5. Chinese Character Recognition.
- 5.1 Historical
- 5.2 The Morphology of Chinese Characters
- 5.3 Recognition of Chinese Characters
- References
- 6. Shape Discrimination.
- 6.1 Basic Considerations
- 6.2 Description of Contours in Terms of Polygons
- 6.3 Description of the Shape of Polygons
- 6.4 Fundamentals of Decomposition
- 6.5 Further Decomposition and Shape Description
- 6.6 Decomposition of Polygons with Holes
- 6.7 Implementation of the Decomposition Algorithm
- 6.8 Discussion of the Methodology
- References
- 7. Two-Dimensional Mathematical Notation.
- 7.1 Mathematics Notation
- 7.2 Coordinate Grammars
- 7.3 A Syntax-Directed Recognition Algorithm
- 7.4 Scope of Recognition Capability
- 7.5 Implementation and Efficiency
- 7.6 Summary
- Appendix 7.A
- Appendix 7.B
- References
- 8. Fingerprint Classification.
- 8.1 Historical Background
- 8.2 Syntactic Approach
- 8.3 Tree Grammar Approach to Fingerprint Pattern Recognition
- 8.4 Summary
- References
- 9. Modeling of Earth Resources Satellite Data.
- 9.1 The Satellite Data
- 9.2 The Model
- 9.3 Details of the Analysis
- 9.4 Inferring a Grammar for the Highways
- 9.5 Summary
- References
- 10. Industrial Objects and Machine Parts Recognition.
- 10.1 A Short Review of Leading Ideas
- 10.2 Levels of Knowledge
- 10.3 Hardware
- 10.4 Software
- 10.5 Pattern Recognition
- 10.6 Conclusions
- References