With a considerable increase in technology and need for security, aninterest has been created in the development of biometric technology.Various personal identification techniques like face recognition, voicerecognition, retinal pattern and fingerprint recognition are in existence.Among all the available techniques, fingerprint recognition isthe best personal identification method, since each person has a uniquefingerprint pattern. Fingerprint image segmentation is a part of preprocessingfor fingerprint image recognition. Segmentation separatesthe foreground part of the fingerprint image from its background part.In this thesis, fingerprint segmentation is implemented using a localradial transformation technique. Here we analyze the data sampled ina circle with a certain radius around each pixel. The circularly sampleddata of image yields a data vector per each image pixel. Fromthis sampled data vector of pixels, the points of interest of the foregroundare obtained. A mask is created by thresholding the points ofinterest we obtained and the fingerprint image is segmented using theobtained mask.This process is carried out on the available databases of fingerprintimages and the obtained results are compared using NIST database.The performance matching is shown using the NIST matching software.