Discriminative Capacity of Perceptual Features in Handwriting Recognition

Jose Ruiz-Pinales; Rene Jaime-Rivas; Maria Jose Castro

doi:10.1615/TelecomRadEng.v64.i11.60

Telecommunications and Radio Engineering

Editor en Jefe: Yevgeni Koucheryavy (open in a new tab)

Editor Asociados: Ammar Muthanna (open in a new tab) Edison Pignaton de Freitas (open in a new tab)

Publicado 12 números por año

ISSN Imprimir: 0040-2508

ISSN En Línea: 1943-6009

Indexed in

Discriminative Capacity of Perceptual Features in Handwriting Recognition

Volumen 64, Edición 7-12, 2005, pp. 931-937

DOI: 10.1615/TelecomRadEng.v64.i11.60

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Jose Ruiz-Pinales
University of Guanajuato/FIMEE, 36730 Salamanca, Gto. Mexico

Rene Jaime-Rivas
Head of FIMEE at the University of Guanajuato, 36730 Salamanca, Gto. Mexico

Maria Jose Castro
Departamento de Sistemas Informáticos y Computación - Universidad Politecnica de Valencia, Spain

SINOPSIS

This work presents an analysis of the perceptual features, those containing most of the discriminative information of a cursive word in off-line handwriting recognition. A extraction method based on Hough Transform, but preserving local spatial information is presented. The method has been proved with a holistic system, which works on gray-level images and convolutional neural networks.

CITADO POR

Rehman Amjad, Saba Tanzila, Off-line cursive script recognition: current advances, comparisons and remaining problems, Artificial Intelligence Review, 37, 4, 2012. Crossref
Saba Tanzila, Alqahtani Fatimah Ayidh, Semantic analysis based forms information retrieval and classification, 3D Research, 4, 3, 2013. Crossref
Suwanwiwat Hemmaphan, Nguyen Vu, Blumenstein Michael, Off-line restricted-set handwritten word recognition for student identification in a short answer question automated assessment system, 2012 12th International Conference on Hybrid Intelligent Systems (HIS), 2012. Crossref

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