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Applying algebraic and differential invariants for logo recognition

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Invariant Signatures for Planar Shape Recognition under Partial Occlusion
inferredcites →https://doi.org/10.1007/978-1-4899-0715-8_10openalex-snapshot
Differential Invariants of Planar Curves and Recognizing Partially Occluded Shapes
inferredcites →https://doi.org/10.1007/978-3-642-93208-3openalex-snapshot
Algorithms for Graphics and Image Processing
inferredcites →https://doi.org/10.1007/bf01539536openalex-snapshot
Geometric invariants and object recognition
inferredcites →https://doi.org/10.1016/0167-8655(89)90046-9openalex-snapshot
Attributed stroke graph matching for seal imprint verification
inferredcites →https://doi.org/10.1016/0167-8655(90)90046-5openalex-snapshot
Model-based recognition of characters in trademark artwork
inferredcites →https://doi.org/10.1016/0262-8856(90)90028-4openalex-snapshot
3D representation of biostructures imaged with an optical microscope
inferredcites →https://doi.org/10.1016/0262-8856(90)90055-aopenalex-snapshot
Shape from shading in the light of mutual illumination
inferredcites →https://doi.org/10.1016/0262-8856(91)90023-iopenalex-snapshot
Projectively invariant representations using implicit algebraic curves
inferredcites →https://doi.org/10.1016/0734-189x(84)90198-1openalex-snapshot
Automatic Chinese seal identification
inferredcites →https://doi.org/10.1016/1049-9660(91)90004-9openalex-snapshot
General methods for determining projective invariants in imagery
inferredcites →https://doi.org/10.1016/c2009-0-21955-6openalex-snapshot
Digital Picture Processing
inferredcites →https://doi.org/10.1017/cbo9780511708534openalex-snapshot
The Algebra of Invariants
inferredcites →https://doi.org/10.1109/34.368188openalex-snapshot
Local invariants for recognition
inferredcites →https://doi.org/10.1109/34.55108openalex-snapshot
On curve matching
inferredcites →https://doi.org/10.1109/34.9112openalex-snapshot
A robust algorithm for text string separation from mixed text/graphics images
inferredcites →https://doi.org/10.1109/cvpr.1988.196251openalex-snapshot
Projective invariants of shapes
inferredcites →https://doi.org/10.1109/cvpr.1991.139735openalex-snapshot
Recognition and semi-differential invariants
inferredcites →https://doi.org/10.1109/tit.1984.1056929openalex-snapshot
Review of 'Digital Picture Processing,' 2nd edn. (Rosenfeld, A., and Kak, A.C.; 1982)
inferredcites →https://doi.org/10.1109/tpami.1987.4767935openalex-snapshot
Localizing Overlapping Parts by Searching the Interpretation Tree
inferredcites →https://doi.org/10.2307/2313966openalex-snapshot
Geometry and Analysis of Projective Spaces.
inferredcites →https://doi.org/10.2307/3028349openalex-snapshot
A Treatise on Projective Differential Geometry

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The Indexing and Retrieval of Document Images: A Survey
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An Incremental Parser to Recognize Diagram Symbols and Gestures Represented by Adjacency Grammars
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Integration of Local and Global Shape Analysis for Logo Classification
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Logo recognition by recursive neural networks
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Differential Invariants
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Logo and Trademark Recognition
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Trademark Image Retrieval
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Advances in Graphics Recognition
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Differential Invariants
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Finding Logo and Seal in Historical Document Images - An Object Detection Based Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-63416-2_658openalex-snapshot
Differential Invariants
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Logo Detection and Recognition Based on Classification
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Detection of Vehicle Manufacture Logos Using Contextual Information
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Object Recognition Using Radon Transform-Based RST Parameter Estimation
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Logo Recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers
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Logo Retrieval and Document Classification Based on LBP Features
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Easy recognition of artistic Chinese calligraphic characters
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Hybrid ensemble of classifiers for logo and trademark symbols recognition
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Mobile Retriever: access to digital documents from their physical source
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Fast Chinese calligraphic character recognition with large-scale data
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A comparative study of graphic symbol recognition methods
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Logo and seal based administrative document image retrieval: A survey
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Histogram of Radon transform with angle correlation matrix for distortion invariant shape descriptor
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Invariant pattern recognition using the RFM descriptor
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The generalization of the R-transform for invariant pattern representation
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A genetic-based subspace analysis method for improving Error-Correcting Output Coding
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Amplitude-only log Radon transform for geometric invariant shape descriptor
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Similarity transformation parameters recovery based on Radon transform. Application in image registration and object recognition
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Deformed trademark retrieval based on 2D pseudo-hidden Markov model
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Human face profile recognition using attributed string
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Edge-backpropagation for noisy logo recognition
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Noisy logo recognition using line segment Hausdorff distance
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Integration of local and global shape analysis for logo classification
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Information Retrieval from Documents: A Survey
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Logo recognition based on a novel pairwise classification approach
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Generic R-transform for invariant pattern representation
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Fast logo detection based on morphological features in document images
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A Fast Logo Recognition Algorithm in Noisy Document Images
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Automatic logo detection in document images
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Graphics recognition - from re-engineering to retrieval
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Automatic Document Logo Detection
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Logo Matching for Document Image Retrieval
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Content-based image retrieval using Fourier descriptors on a logo database
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A Geometric Invariant Shape Descriptor Based on the Radon, Fourier, and Mellin Transforms
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Fast Logo Detection and Recognition in Document Images
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Trademarks recognition based on local regions similarities
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A fast coarse-to-fine vehicle logo detection and recognition method
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A PARTIAL MATCHING FRAMEWORK BASED ON SET EXCLUSION CRITERIA
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A novel method for extracting and recognizing logos
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Examining Factors of Sports Brand Logo Design that Influence Purchase Intentions: Undergraduate Students Perspective
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