Fingerprint Recognition is one of the most popular biometric technique used for person identification and authentication. It mainly involves minutiae extraction and matching but shows drawback with handling of low quality impressions. This paper presents a strong minutiae extraction technique for fingerprint recognition with the help of distance method algorithm. It involves enhancing, binarising of fingerprint to extract valid minutia points using 3*3 window. The combination of multiple methods like segmentation using Morphological operations, thinning, false minutiae removal, minutia marking with special considering the triple branch counting and matching in the unified x-y coordinate system executing a two-step transformation. We proposed a simple strategy to filter out valid minutia points from several false minutiae points which increases the output efficiency.