In this paper, we describe our efforts towards improving the performance of state-of-the-art handwriting recognition systems through the use of classifier ...

An algorithm which combines both approaches is introduced and it is used to increase the recognition rate of a hidden Markov model (HMM) based handwritten ...

Handwritten text recognition is one of the most difficult problems in the field of pattern recognition. In this paper, we describe our efforts towards ...

Jun 21, 2002 · U.-V. Marti and H. Bunke. Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition system.

A novel algorithm which combines both approaches to create a multiple classifier system which is experimentally evaluated in the context of hidden Markov ...

This new algorithm is experimentally evaluated in the context of hidden Markov model (HMM) based handwritten word recognizers and compared to previously ...

Apr 25, 2024 · Simon Günter, Horst Bunke: Optimization of weights in a Multiple Classifier Handwrittenword Recognition System using a Genetic Algorithm.

In this paper the combination of three classifiers for handwritten word recognition with different architec- tures is studied. In addition a new ensemble method.

May 26, 2024 · In this research work, novel ensemble approaches are presented that are composed of arcing of heterogeneous ensembles and bagged homogeneous ...

This study presents a novel ensemble classifier-based off-line handwritten word recognition system following a holistic approach. Here each handwritten word ...