Disadvantages Of Face Recognition

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1. Introduction and Motivation A face of a human carries a great deal of data about his personality and emotional condition of that person. Face recognition is an intriguing and challenging problem and it effects vital applications in numerous areas such as identification for law enforcement, verification for banking, security system entrance, and personal identification among others. Face description portrays how to model a face and leads the succeeding algorithms of detection and recognition (cf. Park, 2009). Face recognition is one of the most significant bio-metric approaches despite the fact that more dependable biometric recognition methods are out there, for example fingerprint and iris recognition. Fingerprint and iris recognition methods are invasive and their successes greatly rely on client participation (cf. Rady, 2011). The most significant benefit of face is that it can be taken as an impression at a distance from a person where physical interaction not required. Out of the six biometric methods, face was the most suited traits in a Machine Readable Travel Documents (MRTD) system based on some criteria. Those biometric methods are compared to the criteria such as enrollment, renewal, machine requirements, and public perception. The comparison of biometric traits is shown in Figure 1 (cf. Li and Jain, 2011, p. 1). Consequently, face recognition apparently the most common, welcoming and accessible system. It is easy to use and can be used effectively for mass

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