Biometrics refers to the authentication techniques that depend on measurable physical
characteristics and behavioural characteristics to identify an individual. The biometric
systems consist of different stages such as image acquisition preprocessing feature
extraction and matching. Biometric techniques are widely used in the security world. The
various types of biometric systems use different techniques for the preprocessing feature
extraction and classifiers.The dorsum of the hand is known as the finger back surface. It is
highly used for personal authentication and has not yet attracted the attention of convenient
researchers. It is mostly used due to contact free image acquisition. It is reported that the
skin pattern on the finger-knuckle is extremely rich in texture due to skin folds and creases
and hence can be considered as a biometric identifier. Furthermore advantages of using Finger
Knuckle Print (FKP) include rich in texture features easily accessible contact-less image
acquisition invariant to emotions and other behavioral aspects such as tiredness stable
features and acceptability in the society. As a result of that there is less known use of
finger knuckle pattern in commercial or civilian applications. The local features of an
enhanced palmprint image are extracted using Fast Discrete Orthonormal Stockwell Transform
(FDOST). The Fourier transform of an image is obtained by increasing the scale of FDOST to
infinity. The Fourier transform coefficients extracted from the palmprint image and FKP image
are considered as the global information. The local and global information are physically
linked by means of the framework of time frequency analysis. The global feature is exploited to
refine the arrangement of FKP images in matching. The proposed schemes make use of the local
and global features to verify finger knuckle-print images. The weighted average of the local
and global matching distances is taken as the final matching distance of two FKP images. The
investigational results indicate that the proposed works outperform the existing works.