Generalised Syntactic Pattern Recognition as a Unifying Approach in Image Analysis
Item Type:Technical Report
Citation:Venguerov, Mark; Cunningham, Padraig. 'Generalised Syntactic Pattern Recognition as a Unifying Approach in Image Analysis'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-1998-12, 1998, pp8
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In this paper we analyse theoretical foundations of syntactic pattern recognition and its relationships with mathematical linguistics, structural pattern recognition, and statistical pattern recognition. We point out that all the above mentioned methods are based on two fundamental operations: the combination of parts into wholes and abstraction. We provide examples of those operations in different contexts. Finally, we note that at this level of generalisation, all three main approaches to pattern recognition (structural, statistical and syntactic) can be merged into one powerful method. We outline a system based on these principles and intended to be used for the recognition of unconstrained handwriting.
Description:An updated version of this paper was presented at 2nd International workshop on Statistical Techniques in Pattern Recognition, Sydney, Australia. August 1998, Lecture Notes in Computer Science, Springer Verlag.
Publisher:Trinity College Dublin, Department of Computer Science
Type of material:Technical Report
Series/Report no:Computer Science Technical Report
Availability:Full text available