The Use of Context in Pattern Recognition
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1. Introduction

2. Context in Image Classification

a. Lower Order Markov Chains
b. Hilbert Space Filling Curves
c. Markov Meshes
d. Dependence Trees
3. Context in Text Recognition
a. A Quick Bit on Compound Decision Theory
b. Dictionary Look-up Methods


4. Conclusions

References
 
 

 

4.  Conclusions

So what have we learned?  Well we now know that context is a useful tool for the recognition of characters and images.  IT is also useful to be able to use various methods, such as Markov methods, Compound Decsion Theory, and dictionary look-up tables to determine what the tect and images are .  More importantly we have learned, that the use of context in pattern recognition makes problems easier to define, as a single image or piece of text can mean or symbolize two different things depending on the surrounding context.  Therefore it is very important to include contextual information in the pattern recognition process. 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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