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Bibliographic Details
Main Author: Fletcher, Peter
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2504.15975
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author Fletcher, Peter
author_facet Fletcher, Peter
contents I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represents the syntactic structure in a more direct and declarative way. The grammar and the pattern are both represented as networks, and parsing is seen as the construction of a homomorphism from the pattern to the grammar. The grammars can represent iterative, hierarchical and nested recursive structure in more than one dimension. This supports a highly parallel style of parsing, in which all aspects of pattern recognition (feature detection, segmentation, parsing, filling in missing symbols, top-down and bottom-up inference) are integrated into a single process, to exploit the synergy between them. The emphasis of this paper is on underlying theoretical issues, but I also give some example runs to illustrate the error-tolerant parsing of complex recursively structured patterns of 50-1000 symbols, involving variability in geometric relationships, blurry and indistinct symbols, overlapping symbols, cluttered images, and erased patches.
format Preprint
id arxiv_https___arxiv_org_abs_2504_15975
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition
Fletcher, Peter
Formal Languages and Automata Theory
Computer Vision and Pattern Recognition
F.4.2; F.4.3
I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represents the syntactic structure in a more direct and declarative way. The grammar and the pattern are both represented as networks, and parsing is seen as the construction of a homomorphism from the pattern to the grammar. The grammars can represent iterative, hierarchical and nested recursive structure in more than one dimension. This supports a highly parallel style of parsing, in which all aspects of pattern recognition (feature detection, segmentation, parsing, filling in missing symbols, top-down and bottom-up inference) are integrated into a single process, to exploit the synergy between them. The emphasis of this paper is on underlying theoretical issues, but I also give some example runs to illustrate the error-tolerant parsing of complex recursively structured patterns of 50-1000 symbols, involving variability in geometric relationships, blurry and indistinct symbols, overlapping symbols, cluttered images, and erased patches.
title A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition
topic Formal Languages and Automata Theory
Computer Vision and Pattern Recognition
F.4.2; F.4.3
url https://arxiv.org/abs/2504.15975