Palmprint is defined as that line pattern which is located within the area of palm. Palmprint is proved to be distinguishable from other features because of a number of attributes. These attributes include color, clarity, position, continuity, length and variation in thickness. In proposed work the line patterns are analyzed because these patterns are highly effective for shape representation. Lines are represented in a very efficient way and it needs low storage and consistency in detection and these are efficient for shape matching involving large database. But there will always be a problem of missing or broken lines during the extraction process of palmprint which causes difficulty in the matching process. Therefore to remove this problem there is a need for an efficient technique in order to reduce the number of repeated lines or broken lines in the binary images. Therefore the enhancement technique for recognition of palmprint gives us the efficient matching score and accuracy.