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Biometrics recognition system is more reliable and popular. In this paper we describe a palmprint and handgeometry based person
identification consisting of three main steps - preprocessing techniques such as morphological operations. The feature extraction techniques
such as FAST feature algorithm and region properties is used to independently extract palmprint and handgeometry features. Feature matching
with euclidean distance classifier. These techniques are more reliable and faster than traditional techniques used. We finally conclude that the
proposed methodology has better performance .This is supported by our experiments which are able to achieve recognition rate for palmprint
100 % and for handgeometry 93.75 %.