Abstract
In Present Numerous scientific research based on biometric applications like face, iris, voice, hand-based biometrics traits like palm print and fingerprint technique are employed for maculating the individuals. These distinct biometrics habits have their development and flaw so that no particular biometrics can pleasantly enough to opt for all terms like the accuracy and cost of all applications. In recent times, distinct hand-based biometrics technique such as Finger Knuckle Print (FKP) has been addressed for booming the attention among biometric researchers. The image template pattern formations of FKP cradle the report which is suitable for streaking the uniqueness of individuality. This FKP trait observes a person based on the knuckle print with the framework based on their outlooks. This FKP feature determines the line anatomy and finger structures which are entrenched and persistent throughout the lifetime of an individual. In this paper, an innovative method for personal identification is introduced, along with the angle pattern based on the Hough transform has been proposed. Here discrete wavelet transform (DWT) plays a vital role in decomposing the FKP into various sub-bands. This proposed system is recognized based on the FKP framework with the query template to achieve a higher accuracy rate as 89%
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