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ARTÍCULO
TITULO

Comparison of Different Face Recognition Method Based On PCA

Rajib Saha    
Debotosh Bhattacharjee    
Sayan Barman    

Resumen

This paper is about human face recognition in image files. Face recognition involves matching a given image with the database of images and identifying the image that it resembles the most. Here, face recognition is done using:(a) Eigen faces and(b) applying Principal Component Analysis (PCA) on image.The aim is to successfully demonstrate the human face recognition using Principal component analysis & comparison of Manhattan distance, Eucleadian distance & Chebychev distance for face matching.

PÁGINAS
pp. 2016 - 2022

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