Handwritten numeral recognition using gradient and curvature of gray scale image

DOI10.1016/S0031-3203(01)00203-5zbMath1006.68883MaRDI QIDQ1860161

Fumitaka Kimura, Meng Shi, Tetsushi Wakabayashi, Yoshiharu Fujisawa

Publication date: 20 February 2003

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

zbMATH Keywords

clusteringfeature extractionnumeral recognitioncurvature featuregradient feature

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (4)

Handwritten digit recognition: Benchmarking of state-of-the-art techniques. ⋮ Improved direction estimation for Di Zenzo's multichannel image gradient operator ⋮ Handwritten digit recognition: Investigation of normalization and feature extraction techniques. ⋮ A multiple feature/resolution scheme to Arabic (Indian) numerals recognition using hidden Markov models

Cites Work

• Unnamed Item
• Unnamed Item
• A note on learning for Gaussian properties

This page was built for publication: Handwritten numeral recognition using gradient and curvature of gray scale image