Automatic Script Identification From Document Images Using Cluster-Based Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation Invariant Texture Features and Their Use in Automatic Script Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Script Line Separation from Indian Multi-Script Documents
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Speech pitch determination based on Hilbert-Huang transform
Signal Processing
A generalised framework for script identification
International Journal on Document Analysis and Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In this paper, we describe a novel technique for Document script identification(DSI) from printed documents, using Empirical Mode Decomposition (EMD). The intrinsic decomposition nature can adaptively decompose script images into a series of modes representing different local features of script images. In this method, Radon transformed script images are decomposed into finite set of IMFs (Intrinsic Mode Functions). The energy concentration in a particular orientation characterises a script texture as it indicates the dominance of individual script in that direction. We demonstrate how the proposed method use these IMFs as feature vectors to distinguish various scripts.