Handwritten chinese text line segmentation by clustering with distance metric learning

DOI10.1016/j.patcog.2008.12.013zbMath1186.68428OpenAlexW2090914336MaRDI QIDQ733043

Cheng-Lin Liu, Fei Yin

Publication date: 15 October 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.12.013

zbMATH Keywords

clusteringminimal spanning treedistance metric learninghandwritten text line segmentationhypervolume reduction

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Cites Work

• A clustering algorithm based on maximal \(\varTheta\)-distant subtrees
• Text line extraction from multi-skewed handwritten documents
• Optimal matching problem in detection and recognition performance evaluation
• Semidefinite Programming
• A Simplex Method for Function Minimization
• Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
• Unnamed Item

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