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Combining Neural Gas and Learning Vector Quantization for Cursive Character Recognition

Related publications (40)

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Off-Line Cursive Script Recognition Based on Continuous Density HMM

Alessandro Vinciarelli

A system for off-line cursive script recognition is presented. A new normalization technique (based on statistical methods) to compensate for the variability of writing style is described. The key problem of segmentation is avoided by applying a sliding wi ...

2000

A new normalization technique for cursive handwritten words

Alessandro Vinciarelli

This paper presents new techniques for slant and slope removal in cursive handwritten words. Both new methods make no use of heuristics and no manual parameter tuning is needed. This avoids the heavy experimental effort required to find the optimal configu ...

IDIAP2000

A survey on Off-Line Cursive Word Recognition

Alessandro Vinciarelli

This paper presents a survey on Off-Line Cursive Script Recognition. The approaches to the problem are described into detail. Each step of the process leading from raw data to the final result is analyzed.\ This survey is divided into two parts, the first ...

IDIAP2000

Off-Line Cursive Script Recognition Based on Continuous Density HMM

Alessandro Vinciarelli

IDIAP1999

Apprentissage de prototypes de caracteres a partir de l'image d'un texte manuscrit et avec l'aide d'un operateur

Ce rapport décrit la réalisation d'une interface permettant à un opérateur d'extraire de l'image d'un texte manuscrit des prototypes de caractères et des les accumuler dans une base de données devant servir ultérieurement à la reconnaissance de l'écrit. L' ...

IDIAP1995

A System for the Off-Line Recognition of Handwritten Text

A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to ASCII transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten inp ...

IDIAP1994

A system for the off-line recognition of handwritten text

A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to {ASCII} transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten i ...

1994

Recognition of Handprinted Digits

This paper describes a system that recognizes hand-printed digits. The system is based on optimal bounded error matching, a technique already in common use in general-purpose 2D and 3D visual object recognition systems in cluttered, noisy scenes. In this p ...

IDIAP1993

Higher-Order Statistics in Visual Object Recognition

In this paper, I develop a higher-order statistical theory of matching models against images. The basic idea is not only to take into account {\em how much} of an object can be seen in the image, but also {\em what parts} of it are jointly present. I show ...

IDIAP1993

Higher-Order Statistics in Visual Object Recognition

1993