AUTOMATIC FACE MATCHING SYSTEM ONLY FROM FINGERPRINTS USING ARTIFICIAL NEURAL NETWORK
Biometrics refers to automatic recognition of an individual based on behavioral and/or stable physiological characteristics such as fingerprint, face, iris, voice, signature or hand geometry which cannot be stolen, lost, or copied. Therefore, differentiating an authorized person from fraudulent impostor supports critical processes in a wide range of applications including criminal applications, execution of the rules, information security, smart cards, access control in building entrances or computer networks, time/place control points, airports etc. It should be emphasized that improving the accuracy and processing time of the biometric system, designing the fully automatic and more intelligent systems and developing more effective and robust algorithms. This study aims to generate face matching of a person from only his or her one fingerprint image without having any prior knowledge about his or her face. In order to achieve the generation process properly, an automatic system based on the artificial neural network was developed. The Matlab experimental results achieved from the proposed fingerprint to face matching system is shown in below simulation video demo. The satisfactory results have indicated that there are close relationships among fingerprints and faces.
Reference Paper: Artificial Neural Network Based Automatic Face Parts Prediction System from Only Fingerprints
Author’s Name: S. Sagiroglu, and N. Ozkaya
Year:2009
Source: IEEE
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SIMULATION VIDEO DEMO
