In this paper, we review some pattern recognition schemes published in recent years. After giving the general processing steps of pattern recognition, we discuss several methods used for pattern recognition such as Principal Component Analysis (PCA), Support Vector Machines (SVM), Clustering and so forth. Different kinds of merits are presented and their applications on pattern precognition are given. The objective of this paper is to summarize and compare some of the methods for pattern recognition, and future research issues which need to be resolved and investigated further are given along with the new trends and ideas.
Original languageEnglish
Title of host publicationDistributed Algorithms for Science and Engineering
Place of PublicationUK
PublisherCMS Press
Number of pages4
ISBN (Electronic)1904521274
Publication statusPublished - 2005
EventJoint DCABES and ICPACE Meeting - London, UK, United Kingdom
Duration: 25 Aug 200527 Aug 2005


ConferenceJoint DCABES and ICPACE Meeting
Country/TerritoryUnited Kingdom


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