Handwritten digit recognition: Investigation of normalization and feature extraction techniques.

DOI10.1016/S0031-3203(03)00224-3zbMath1059.68613MaRDI QIDQ1425942

Kazuki Nakashima, Cheng-Lin Liu, Hiromichi Fujisawa, Hiroshi Sako

Publication date: 14 March 2004

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

zbMATH Keywords

NormalizationHandwritten digit recognitionAspect ratio mappingDirection featureGradient featureNCFE

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (7)

A genetic framework using contextual knowledge for segmentation and recognition of handwritten numeral strings ⋮ Building compact MQDF classifier for large character set recognition by subspace distribution sharing ⋮ High accuracy handwritten Chinese character recognition using LDA-based compound distances ⋮ Classifier combination based on confidence transformation ⋮ Bilinear Lanczos components for fast dimensionality reduction and feature extraction ⋮ A novel cascade ensemble classifier system with a high recognition performance on handwritten digits ⋮ A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters

Cites Work

• Handwritten digit recognition: Benchmarking of state-of-the-art techniques.
• Handwritten numeral recognition using gradient and curvature of gray scale image
• Normalization techniques for handprinted numerals
• Moment Normalization of Handprinted Characters
• Unnamed Item

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