OcrV1, PascalFrancis, Checkpoint, bibRecord, 000A12

Fast computation of normalized edit distances

Identifieur interne : 000A12 ( PascalFrancis/Checkpoint ); précédent : 000A11; suivant : 000A13

Fast computation of normalized edit distances

Auteurs : E. Vidal ; A. Marzal ; P. Aibar

Source :

IEEE Transactions on Pattern Analysis and Machine Intelligence [ 0162-8828 ] ; 1995.

RBID : Pascal:95-0527486

Descripteurs français

Pascal (Inist)
- Application, Reconnaissance forme, Reconnaissance caractère, Reconnaissance parole, Complexité calcul, Optimisation, Calcul, Reconnaissance optique caractère, Algorithme, Théorie.

English descriptors

KwdEn :
- Algorithms, Application, Calculations, Character recognition, Computational complexity, Fast algorithms, Fractional programming, Levenslatein distance, Normalized edit distance, Optical character recognition, Optimization, Pattern recognition, Speech recognition, Spelling correction, String correction, Theory.

Abstract

The Normalized Edit Distance (NED) between two strings X and Y is defined as the minimum quotient between the sum of weights of the edit operations required to transform X into Y and the length of the editing path corresponding to these operations. An algorithm for computing the NED has recently been introduced by Marzal and Vidal that exhibits O(mn²) computing complexity, where m and n are the lengths of X and Y. We propose here an algorithm that is observed to require in practice the same O(mn) computing resources as the conventional unnormalized Edit Distance algorithm does. The performance of this algorithm is illustrated through computational experiments with synthetic data, as well as with real data consisting of OCR chain-coded strings.

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Pascal:95-0527486

Le document en format XML

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<front><div type="abstract" xml:lang="en">The Normalized Edit Distance (NED) between two strings X and Y is defined as  the minimum quotient between the sum of weights of the edit operations required to transform X into Y and the length of the editing path corresponding to these operations.  An algorithm for computing the NED has recently been introduced by Marzal and Vidal that exhibits O(mn<sup>2</sup>
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Fast computation of normalized edit distances

Fast computation of normalized edit distances

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri