An Overview of Holistic Face Recognition

Abstract

Biometric is including two parts bios (life) and metrikos (measure). This word comes from Greek. A biometric system is essentially a pattern recognition system that recognizes a person based on a feature vector derived from a specific physiological or behavioral characteristic that the person possesses. Holistic face recognition utilizes global information from faces to perform face recognition. The global information from faces is fundamentally represented by a small number of features, which are directly derived from the pixel information of face images. These small numbers of features distinctly capture the variance among different individual faces and therefore are used to uniquely identify individuals. Describe two holistic approaches to face recognition called Karhunen-Lo`eve expansion and Linear Discriminate Analysis.

Authors and Affiliations

Sasan Karamizadeh, Shahidan M. Abdullah and Mazdak Zamani

Keywords

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  • EP ID EP27652
  • DOI -
  • Views 534
  • Downloads 4

How To Cite

Sasan Karamizadeh, Shahidan M. Abdullah and Mazdak Zamani (2013). An Overview of Holistic Face Recognition. International Journal of Research in Computer and Communication Technology, 2(9), -. https://www.europub.co.uk/articles/-A-27652