A New Feature Extraction in Dorsal Hand Recognition by Chromatic Imaging

Biometric authentication is a trending topic in biometrics that increases the security of personal data. The clients effortlessly authenticate any kind of system, since the controllers, which could be one-time or continuous, stealthily validate the biometric characteristics. The enhancements could be used as the main authentication protocol or implemented as a second security layer. We therefore propose a dorsal hand recognition and validation procedure to increase the security of personal computers. The camera mounted on top a laptop monitor captures the hands on the keyboard and identifies the frames by adaptive chromatic method. Afterwards, new geometrical features are extracted as the key biometric traits to be analyzed in Levenberg-Marquardt based neural controller for validation.

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