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Classification of binary document images into textual or nontextual data blocks using neural network models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-79119-2openalex-snapshot
From Statistics to Neural Networks
inferredcites →https://doi.org/10.1007/bf02626996openalex-snapshot
Text segmentation using gabor filters for automatic document processing
inferredcites →https://doi.org/10.1016/0031-3203(90)90112-xopenalex-snapshot
Automated entry system for printed documents
inferredcites →https://doi.org/10.1016/0146-664x(82)90059-4openalex-snapshot
Block segmentation and text extraction in mixed text/image documents
inferredcites →https://doi.org/10.1016/0893-6080(90)90049-qopenalex-snapshot
Probabilistic neural networks
inferredcites →https://doi.org/10.1016/1049-9652(92)90068-9openalex-snapshot
Page segmentation and classification
inferredcites →https://doi.org/10.1109/34.244677openalex-snapshot
The document spectrum for page layout analysis
inferredcites →https://doi.org/10.1109/35.41401openalex-snapshot
Pattern classification using neural networks
inferredcites →https://doi.org/10.1109/79.180705openalex-snapshot
Progress in supervised neural networks
inferredcites →https://doi.org/10.1109/massp.1987.1165576openalex-snapshot
An introduction to computing with neural nets
inferredcites →https://doi.org/10.1162/neco.1991.3.4.461openalex-snapshot
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
inferredcites →https://doi.org/10.1162/neco.1992.4.1.1openalex-snapshot
Neural Networks and the Bias/Variance Dilemma
inferredcites →https://doi.org/10.1162/neco.1993.5.1.1openalex-snapshot
Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-45869-7_24openalex-snapshot
Text/Graphics Separation Revisited
inferred← citeshttps://doi.org/10.1007/978-1-84800-330-9_7openalex-snapshot
A Complete OCR System for Tamil Magazine Documents
inferred← citeshttps://doi.org/10.1007/978-3-030-43823-4_35openalex-snapshot
Multimodal Deep Networks for Text and Image-Based Document Classification
inferred← citeshttps://doi.org/10.1007/978-981-99-4277-0_4openalex-snapshot
Document Region Classification
inferred← citeshttps://doi.org/10.1007/s10032-002-0080-xopenalex-snapshot
Document understanding for a broad class of documents
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2004.09.015openalex-snapshot
Image informatics at a national research center
inferred← citeshttps://doi.org/10.1016/s0031-3203(01)00178-9openalex-snapshot
Image processing with neural networks—a review
inferred← citeshttps://doi.org/10.1016/s0262-8856(98)00068-7openalex-snapshot
The function of documents
inferred← citeshttps://doi.org/10.1109/das.2008.84openalex-snapshot
A Graphics Image Processing System
inferred← citeshttps://doi.org/10.1109/icdar.2009.254openalex-snapshot
Development and Evaluation of Text Localization Techniques Based on Structural Texture Features and Neural Classifiers
inferred← citeshttps://doi.org/10.1109/icpr.1996.547266openalex-snapshot
Automated borders detection and adaptive segmentation for binary document images
inferred← citeshttps://doi.org/10.1109/tpami.2005.4openalex-snapshot
Artificial neural networks for document analysis and recognition
inferred← citeshttps://doi.org/10.1145/1031442.1031448openalex-snapshot
A text image enhancement system based on segmentation and classification methods
inferred← citeshttps://doi.org/10.1145/1815330.1815349openalex-snapshot
Text extraction from graphical document images using sparse representation
inferred← citeshttps://doi.org/10.1177/014233120102300504openalex-snapshot
Applying MLP and RBF classifiers in embedded condition monitoring and fault diagnosis systems
inferred← citeshttps://doi.org/10.14569/ijarai.2013.020203openalex-snapshot
Genetic Programming for Document Segmentation and Region Classification Using Discipulus
inferred← citeshttps://doi.org/10.21474/ijar01/3099openalex-snapshot
Severity Analysis of Cervical Cancer in Pap Smear Images by using EEETCM, ERSTCM & CFE method based Texture Features and Hybrid Kernel based Support Vector Machine Classifier.
inferred← citeshttps://doi.org/10.2478/v10143-010-0053-3openalex-snapshot
Research of Artificial Neural Networks Abilities in Printed Words Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.1303.0460openalex-snapshot
Genetic Programming for Document Segmentation and Region Classification Using Discipulus
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