Developing a Method for Segmenting Palmprint into Region-Of-Interest

A considerable number of papers have been published in the last decade about biometric recognition using palm-print features. One of the most important stages in these methods is pre-processin g which contains some operations such as filtering, Region Of Interest (ROI) extraction, normalization, etc. This paper proposes a precise method for extracting ROI of the palm-print. The basis of this method is geometrical calculations and Euclidean distance. Although pre-processing has been discussed in different papers incidentally, but no definite precise approach has been introduced. We show that our approach will extract the ROI with the accuracy of 99.7%.

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