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What is Kannada Font Classification via EMD about?

The document discusses a novel method for classifying Kannada fonts using Hilbert-Huang transform and empirical mode decomposition. Text images are normalized and stroke features are extracted. Empirical mode decomposition is used to decompose the images into intrinsic mode functions. The first two intrinsic mode functions are used to calculate high frequency energies, which are combined with average residues to form a feature vector. This vector can identify font types by comparing to a sample database usi

Author

Aravinda Gowda

Language

EN