Abstract
The palm print Contains main and secondary lines has many important features, which make it one of the important characteristics of biometric with possessing high acceptance by users for recognition.
 In this paper , a new method is proposed to identify individuals using palm print recognition based on details of minutiae. In the beginning the main and secondary lines were extracted using the maximum curvature method. Then the minutiae points ( Ends and Bifurcations) were extracted by convolute windows(3*3) with the points of lines to determine these points (minutiae).
 The modified hausdorff distance MHD algorithm is applied to compare the input templates with database that need to identify or verify persons.
 Many matching process were applied and many thresholds were studied to obtain the best recognition which reaches 99% for 65 threshold, which proved the efficiency of the proposed algorithm very high accuracy in recognition and decrease of error rates.
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