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» Co-training for Handwritten Word Recognition
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ICDAR
2011
IEEE
12 years 7 months ago
Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
—Research in the field of recognizing unlimited vocabulary, online handwritten Indic words is still in its infancy. Most of the focus so far has been in the area of isolated cha...
Suresh Sundaram, A. G. Ramakrishnan
ICDAR
2009
IEEE
14 years 2 months ago
Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition
Training a system to recognize handwritten words is a task that requires a large amount of data with their correct transcription. However, the creation of such a training set, inc...
Volkmar Frinken, Horst Bunke
ICPR
2006
IEEE
14 years 8 months ago
Word Extraction from On-Line Handwritten Text Lines
In this paper we investigate the word extraction task in on-line recognition of cursively handwritten text lines. For the segmentation we propose a method which is based on the as...
Marcus Liwicki, Mathias Scherz, Horst Bunke
ICMCS
2005
IEEE
97views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Semantic Indexing for Instructional Video Via Combination of Handwriting Recognition and Information Retrieval
Efficient indexing and retrieval of digital videos are important needs within instructional video databases. Semantic indexing for instructional videos can be achieved by combini...
Lijun Tang, John R. Kender
ICDAR
2003
IEEE
14 years 1 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke