Identifying the Character by Applying PCA Method using Matlab
Optical character recognition is getting more and more useful in daily life for various purposes. The aim of the paper is to find the number and English alphabets in the symbol of times new roman, arial, arial block size of 72, 48. Many researches have been done on many types of characters by using...
Gespeichert in:
Veröffentlicht in: | International journal of computer applications 2012-01, Vol.60 (1), p.8-11 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Optical character recognition is getting more and more useful in daily life for various purposes. The aim of the paper is to find the number and English alphabets in the symbol of times new roman, arial, arial block size of 72, 48. Many researches have been done on many types of characters by using different approaches. In this recognition system was implemented by using of principal component analysis (PCA) algorithm. This algorithm is based on an Eigen value and Euclidean distance. PCA is practical and standard statistical tool in modern data analysis that has found application in different areas such as face recognition, image compression, and neuroscience. |
---|---|
ISSN: | 0975-8887 0975-8887 |
DOI: | 10.5120/9655-4074 |