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A neural network classifier for OCR using structural descriptions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02626997openalex-snapshot
Thinning and segmenting handwritten characters by line following
inferredcites →https://doi.org/10.1007/bf02626998openalex-snapshot
Segmentation-recognition algorithm for zip code field recognition
inferredcites →https://doi.org/10.1016/0031-3203(81)90099-6openalex-snapshot
A thinning algorithm based on prominence detection
inferredcites →https://doi.org/10.1016/0031-3203(90)90068-vopenalex-snapshot
Stroke segmentation by bernstein-bezier curve fitting
inferredcites →https://doi.org/10.1016/0031-3203(90)90091-xopenalex-snapshot
Character recognition — A review
inferredcites →https://doi.org/10.1016/0167-8655(83)90090-9openalex-snapshot
Recognition of handprinted Kanji characters by the stroke matching method
inferredcites →https://doi.org/10.1016/0893-6080(88)90014-7openalex-snapshot
Neocognitron: A hierarchical neural network capable of visual pattern recognition
inferredcites →https://doi.org/10.1016/s0169-7161(82)02032-xopenalex-snapshot
29 Optical character recognition—Theory and practice
inferredcites →https://doi.org/10.1109/5.156468openalex-snapshot
Historical review of OCR research and development
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1109/tpami.1979.4766870openalex-snapshot
A Hierarchical Syntactic Shape Analyzer
inferredcites →https://doi.org/10.1109/tpami.1981.4767071openalex-snapshot
From Local Maxima to Connected Skeletons
inferredcites →https://doi.org/10.1109/tpami.1987.4767901openalex-snapshot
On the Recognition of Printed Characters of Any Font and Size
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45129-3_46openalex-snapshot
Grouping Character Shapes by Means of Genetic Programming
inferred← citeshttps://doi.org/10.1007/3-540-63507-6_183openalex-snapshot
Classification reliability and its use in multi-classifier systems
inferred← citeshttps://doi.org/10.1007/bfb0033296openalex-snapshot
Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule
inferred← citeshttps://doi.org/10.1007/s001700050141openalex-snapshot
A Computer Vision-Based Shape-Classification System UsingImage Projection and a Neural Network
inferred← citeshttps://doi.org/10.1007/s100440050030openalex-snapshot
Definition and Validation of a Distance Measure Between Structural Primitives
inferred← citeshttps://doi.org/10.1016/s0031-3203(98)00169-1openalex-snapshot
Multiclassification: reject criteria for the Bayesian combiner
inferred← citeshttps://doi.org/10.1016/s0167-8655(02)00104-6openalex-snapshot
Character preclassification based on genetic programming
inferred← citeshttps://doi.org/10.1109/3477.718520openalex-snapshot
Matching of complex patterns by energy minimization
inferred← citeshttps://doi.org/10.1109/icdar.2001.953962openalex-snapshot
Encoding of modified X-Y trees for document classification
inferred← citeshttps://doi.org/10.1109/iciap.1999.797698openalex-snapshot
A new evolutionary learning model for handwritten character prototyping
inferred← citeshttps://doi.org/10.1109/icpr.1996.546835openalex-snapshot
A distance measure for structural descriptions using circular arcs as primitives
inferred← citeshttps://doi.org/10.1109/icpr.1996.546934openalex-snapshot
An efficient algorithm for the inexact matching of ARG graphs using a contextual transformational model
inferred← citeshttps://doi.org/10.1109/icsmc.2000.884414openalex-snapshot
Exploring genetic programming for modeling character shape
inferred← citeshttps://doi.org/10.1109/tpami.2005.4openalex-snapshot
Artificial neural networks for document analysis and recognition
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