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ICDAR
2009
IEEE
16 years 27 days ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...
ICDAR
2009
IEEE
16 years 27 days ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
ICDAR
2009
IEEE
16 years 27 days ago
Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition
This paper describes a method of on-line handwritten Japanese text recognition by improved path evaluation. Based on a theoretical ground, the method evaluates the likelihood of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...
ICDAR
2009
IEEE
16 years 27 days ago
Fisher Kernels for Handwritten Word-spotting
The Fisher kernel is a generic framework which combines the benefits of generative and discriminative approaches to pattern classification. In this contribution, we propose to a...
Florent Perronnin, José A. Rodríguez...
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ICDAR
2009
IEEE
16 years 27 days ago
Explicit Fuzzy Modeling of Shapes and Positioning for Handwritten Chinese Character Recognition
In this paper, we present a new method for on-line Chinese character recognition that relies on an explicit description of characters structure. Contrary to most of known structur...
Adrien Delaye, Éric Anquetil, Sébast...