Advanced Technology for Recognizing Faces from Fingerprints
Smrithi Garje1, Ms. S.Delfin2
1Smrithi Garje, Department of Computer Science Engineering, SRM IST, Chennai (Tamil Nadu), India.
2S.Delfin, Department of Computer Science Engineering, SRM IST, Chennai (Tamil Nadu), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 165-167 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6360048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the literature, many successful techniques, approaches and algorithms for biometric recognition systems have been developed and implemented. When these studies are examined, there is no study to analyse the relationship between biometric properties. The present study discusses the existence of any relationship between biometric features such as fingerprint, face, iris, retina and hand geometry, and introduces a new and intelligent system based on artificial neural networks to estimate the faces of individuals using only their fingerprint. The results are presented in this study are in the crudest form without any final treatment, the success of the study is acceptable and will contribute to the development of different studies on the subject in the future.
Keywords: Biometric Technics, Fingerprint Verification, Face Recognition, Artificial Neural Network, Intelligent Biometric Systems.
Scope of the Article: Biomedical Computing