An Overview of Advances of Pattern Recognition Systems in Computer Vision - Archive ouverte HAL
Chapitre D'ouvrage Année : 2007

An Overview of Advances of Pattern Recognition Systems in Computer Vision

Résumé

First of all, let's give a tentative answer to the following question: what is pattern recognition (PR)? Among all the possible existing answers, that which we consider being the best adapted to the situation and to the concern of this chapter is: "pattern recognition is the scientific discipline of machine learning (or artificial intelligence) that aims at classifying data (patterns) into a number of categories or classes". But what is a pattern? A pattern recognition system (PRS) is an automatic system that aims at classifying the input pattern into a specific class. It proceeds into two successive tasks: (1) the analysis (or description) that extracts the characteristics from the pattern being studied and (2) the classification (or recognition) that enables us to recognise an object (or a pattern) by using some characteristics derived from the first task.
Fichier principal
Vignette du fichier
Proof_Chap17_KPALMA.pdf (714.96 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00143842 , version 1 (27-04-2007)

Identifiants

  • HAL Id : hal-00143842 , version 1

Citer

Kidiyo Kpalma, Joseph Ronsin. An Overview of Advances of Pattern Recognition Systems in Computer Vision. Prof. Goro Obinata and Dr. Ashish Dutta. Vision Systems, Advanced Robotic Systems, pp.26, 2007. ⟨hal-00143842⟩
856 Consultations
1038 Téléchargements

Partager

More