Study and Comparison of Face Recognition based on PCA and 2DPCA
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
Face recognition is an integral part of biometrics and has been an active research field of application. The face is a major focus of attention in social life playing an important role in conveying a person’s identity and emotions. A face recognition system is an application of computer which is capable of identifying or verifying a person from an image. Dimensionality reduction method plays a significant role for recognition of faces. Principal Component Analysis (PCA) and Two-Dimensional Principal Component Analysis (2DPCA) are commonly used technique for this approach. This paper performs a comparison between PCA and 2DPCA by implementing them on four standard databases. The test result gives maximum recognition rate of 93.5% for PCA and 96% for 2DPCA showing that 2DPCA is more efficient than PCA.
Authors and Affiliations
Chanchal Jain, Raj Kumar Sahu
Keywords
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