Fingerprint recognition is one of famous biometric system that is mostly used in various authentication techniques. Human fingerprint exhibit some certain details marked on it, categorized it as minutiae, which can be used as a unique identity of a person if recognize it in a well manner. This survey paper discusses the classification of fingerprints and different matching techniques that used in fingerprint recognition. The main aim of this paper is to discuss a complete system and an indigenous design model for fingerprint verification using minutiae extraction technique. To achieve a good quality minutiae extraction, firstly the fingerprint image is pre-processed by image enhancement which includes histogram equalization, fast fourier transformation and image binerization and then segmentation is done to get the effective area of the fingerprint followed by minutiae extraction which includes ridge thinning and minutiae marking and then a post-processing operation which includes removal of H-breaks, isolated points and false minutiae. Then, go for a final treatment which is minutiae matching, in which post processed fingerprint image is matched with the database and give decision.