Fundamentals in Handwriting Recognition: NATO ASI Subseries F:, cartea 124
Editat de Sebastiano Impedovoen Limba Engleză Paperback – 21 dec 2011
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Specificații
ISBN-13: 9783642786488
ISBN-10: 3642786480
Pagini: 516
Ilustrații: IX, 496 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.72 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria NATO ASI Subseries F:
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642786480
Pagini: 516
Ilustrații: IX, 496 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.72 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria NATO ASI Subseries F:
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
1: Introduction and overview of field.- Frontiers in handwriting recognition.- 2: Handwritten character recognition.- Historical review of theory and practice of handwritten character recognition.- Automatic recognition of handwritten characters.- Learning, representation, understanding and recognition of characters and words — an intelligent approach.- Digital transforms in handwriting recognition.- Pattern recognition with optimal margin classifiers.- 3: Handwritten word recognition.- On the robustness of recognition of degraded line images.- Invariant handwriting features useful in cursive script recognition.- Off-line recognition of bad quality handwritten words using prototypes.- Handwriting recognition by statistical methods.- Towards a visual recognition of cursive script.- A hierarchical handwritten word segmentation.- 4: Contextual methods in handwriting recognition.- Cursive words recognition: methods and strategies.- Hidden Markov models in handwriting recognition.- Language-level syntactic and semantic constraints applied to visual word recognition.- Verification of handwritten British postcodes using address features.- Improvement of OCR by language model.- An approximate string matching method for handwriting recognition post-processing using a dictionary.- 5: Neural networks in handwriting recognition.- Neural-net computing for machine recognition of handwritten English language text.- Cooperation of feedforward neural networks for handwritten digit recognition.- Normalisation and preprocessing for a recurrent network off-line handwriting recognition system.- 6: Architectures for handwriting.- Architectures for handwriting recognition.- 7: Databases for handwriting recognition.- Large database organization for document images.- 8: Signature recognitionand verification.- A model-based dynamic signature verification system.- Algorithms for signature verification.- Handwritten signature verification: a global approach.- 9: Application of handwriting recognition.- Total approach for practical character recognition system development.- A pen-based music editor.