Generalised Syntactic Pattern Recognition as a Unifying Approach in Image Analysis

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1998-08Citation:
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, pp8Download Item:

Abstract:
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.
Author: Venguerov, Mark; Cunningham, Padraig
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections:
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Computer Science Technical ReportTCD-CS-1998-12
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