The main purpose of using biometrics is to avoid the risks related to password such as easy to find or Stoll. To make safe and authenticated access control it is true alternatives for passwords and identifiers. In contrast to existing methods, finger knuckle image authentication system employs a low resolution knuckle print images to achieve effective personal identification. In this paper, efforts are concentrated to develop a biometric authentication system that consists of a finger knuckle print sensor which acts as a biometric sensor unit with a direct interface to an external PC for storing finger knuckle print templates. Finger knuckle print sensor consists of a set of digital camera that captures the raw image of finger knuckle print. The image is processed through an algorithm to extract the features set and form the finger knuckle print template for biometric authentication using KWT transform using division method of original templates. We propose a principle method for implementing Kekre's transform for the feature extraction as it performs well on every size of image.

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Sensor Biometrics Finger Knuckle Images Kwt Monomodality.