A SVM-based cursive character recognizer

DOI10.1016/j.patcog.2007.03.014zbMath1122.68524OpenAlexW2087136607MaRDI QIDQ996468

Francesco Camastra

Publication date: 14 September 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.03.014

zbMATH Keywords

learning vector quantizationsupport vector machinesneural gascrossvalidationcursive character recognitionmulti-layer-perceptron

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items

Variable selection in classification model via quadratic programming ⋮ Dynamic pattern denoising method using multi-basin system with kernels ⋮ Polar Transformation System for Offline Handwritten Character Recognition

Uses Software

• SVMlight
• LVQ_PAK
• CEDAR

Cites Work

• An investigation of the modified direction feature for cursive character recognition
• Cursive character recognition by learning vector quantization
• Self-organizing maps.
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