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Biometrics is a deeply studied and highly developed technology. While biometric systems have been used primarily in limited applications requiring high security tasks like criminal identification and police work, more recently they have been receiving increasing demand for person recognition applications. In spite of all developments in biometrics, there is(More)
This study presents a new approach based on artificial neural networks for generating one biometric feature (faces) from another (only fingerprints). An automatic and intelligent system was designed and developed to analyze the relationships among fingerprints and faces and also to model and to improve the existence of the relationships. The new proposed(More)
Although biometrics is a deeply studied field, relationships among biometric features have not been studied in the field so far. In this study, we have analysed the existence of any relationship among biometric features. Also we have tried to generate the face border of a person using only fingerprint biometric feature of the same person without any(More)
Biometric based person identification systems are used to provide alternative solutions for security. Although many approaches and algorithms for biometric recognition techniques have been developed and proposed in the literature, relationships among biometric features have not been studied in the field so far. In this study, we have analysed the existence(More)
This work presents an intelligent automatic fingerprint identification and verification system based on artificial neural networks. In this work, the design processes of the system have been presented step by step. In order to make the system automatic, software was developed for fingerprint identification and verification processes. 100 fingerprint images(More)
—This paper presents an intelligent system for generating face shapes from only fingerprints without knowing any information about faces. The proposed system based on artificial neural network has got a number of modules including two biometric data acquisition modules, two feature extraction modules, an artificial neural network module, a face(More)