Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition

We present a writer adaptive training and writer clustering approach for an HMM based Arabic handwriting recognition system to handle different handwriting styles and their variations. Additionally, a writing variant model refinement for specific writing variants is proposed. Current approaches try...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Dreuw, P., Rybach, D., Gollan, C., Ney, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Arabic Handwriting Recognition Automatic speech recognition Bayesian methods Clustering CMLLR Handwriting recognition Hidden Markov models Maximum likelihood decoding Maximum likelihood linear regression Pattern recognition Text analysis Writer Adaptive Training Writing
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