Hand Gesture Authentication: Biometric authentication has the main goal of identifying a user and providing access based on some unique physical characteristic. This is traditionally done by analyzing a person's fingerprint, palm, eye, or even face structure. However a new way of biometric authentication is under development, and may be more accessible than other forms, authentication through hand gestures. The user is identified by the shape and curvature of the hand, hand posture, and the actual sign being produced by the user's hand (Fong, Zhuang, Fister, Fister Jr, 2013). This form of biometric authentication can be much more complex than one would think, through all the different aspects that can be analyzed. For instance everyone
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Sign language does come into play with this specific form of biometric identification, however a user does not need to know sign language to create a password. This biometric authentication is flexible enough to allow a user to create a random motion, or gesture and assign it a meaning known only to the user (Fong, Zhuang, Fister, Fister Jr, 2013). This can also be used a two-step verification method as the user could be prompted to enter the word or phrase previous assigned to their custom gesture (Fong, Zhuang, Fister, Fister Jr, 2013). Using hand gestures as a form of biometric authentication has many advantages over other forms of biometric authentication, one being that the password can be easily changed at any time, unlike the fingerprint scanner. Another massive advantage that this form of biometric authentication has is the cost that it takes to implement and use hand gesture authentication. This is because the hardware that is needed to conduct the gesture recognition is a simple video camera, the rest of the process relies on software (Fong, Zhuang, Fister, Fister Jr, 2013). Also the processing of the gesture is relatively fast because the software that analyses the hand gesture is based off statistics, giving it an edge over other biometric authentication software (Fong,
Sign language does come into play with this specific form of biometric identification, however a user does not need to know sign language to create a password. This biometric authentication is flexible enough to allow a user to create a random motion, or gesture and assign it a meaning known only to the user (Fong, Zhuang, Fister, Fister Jr, 2013). This can also be used a two-step verification method as the user could be prompted to enter the word or phrase previous assigned to their custom gesture (Fong, Zhuang, Fister, Fister Jr, 2013). Using hand gestures as a form of biometric authentication has many advantages over other forms of biometric authentication, one being that the password can be easily changed at any time, unlike the fingerprint scanner. Another massive advantage that this form of biometric authentication has is the cost that it takes to implement and use hand gesture authentication. This is because the hardware that is needed to conduct the gesture recognition is a simple video camera, the rest of the process relies on software (Fong, Zhuang, Fister, Fister Jr, 2013). Also the processing of the gesture is relatively fast because the software that analyses the hand gesture is based off statistics, giving it an edge over other biometric authentication software (Fong,