Efficient Finger Print Authentication on Mobile Cloud Computing - A Survey

Fingerprint Identification is a widely used Biometric Identification scheme. In biometric system, the fingerprint identification has been researched for the long period of time and it has shown the most promising future in the real world appliance. However, because of the composite distortions among the different impression of the same finger in real life, fingerprint recognition is still a demanding trouble. Matching two fingerprints can be unsuccessful due to various reasons and also depends upon the method that is being used for matching. Fingerprint (FP) serves to identify that the person authenticating is who he/she claim to be. FP identification is popular biometric technique due to easiness in acquiring, availability of prosperity sources for collecting data and their established use. A new feature for fingerprint images is introduced. This new attribute is named as Distance Vector. A Distance Vector count the minutiae points in each row of a particular fingerprint image. A Distance Vector is related with every fingerprint in the database. At the time of employment this feature is stored with the concerned fingerprint and at the time of matching this feature is matched with the Distance Vector of each fingerprint in the pattern database. This process increases the reliability of the fingerprint recognition task. In the initial stages, image normalization and orientation of the ridges are estimated. The system was evaluated using a standard fingerprint dataset and good performance and accuracy were achieved under certain image quality requirements. In addition, the proposed scheme was compared favorably to that of the state of the art systems.