抽象的な

IMPACT OF IMAGE RESIZING FACTOR IN FACE RECOGNITION SYSTEM USING PCA

Y. Vijaya lata and dr. A. Govardhan

Image recognition is an emerging field ever since it has been invented. In this field, machine recognition of human face is a challenging task. Human face recognition system has been grabbing high attention from commercial market point of view, as well as research community. Human recognition system is a biometric identification system that authenticates an individual uniquely. Among the existing biometric systems , face recognition system is user friendly, which does not interrupt the user activities. The present paper focuses on Principal Component Analysis (PCA), which is well known for its dimensionality reduction approach. It uses resizing factor as a preprocessing step for training the system, while keeping the aspect ratio the same. The effect of resizing an image using vary resizing factor has been carried out experimentally and obtained challenging results.