Author :
Sugandhi, N. ; Mathankumar, M. ; Priya, V.
Author_Institution :
Electron. & Commun. Dept., Muthayammal Eng. Coll., Namakkal, India
Abstract :
In this modern world, achieving high level security is a critical task. There are many authentication techniques have been improved and comparatively forging techniques also developed. So we are in the need of promising authentication methods by considering more security, reliability, cost effectiveness, easier implementation etc. Authentication includes identification, verification and recognition. It can be achieved using a biometric system which uses human physiological features such as fingerprint, palm print, iris, voice and facial recognitions. All such systems having the chances of threaten easily. To overcome this, advanced finger vein recognition technique is proposed and implemented in real time which is unique, does not need any physical contact, invisible feature, non-invasive, hard to be cloned, provide high accuracy and security using NIR (Near Infra-Red) scanning and advanced image processing technology embedded with PIC16F877A microcontroller. The proposed system can be used anywhere to prevent the unauthorized access and protects the privacy information. It can be extensively implemented in ATM´s (Automatic Teller Machines), banking sectors, money transfer systems, military areas, hospitals, entry control etc.
Keywords :
biomedical optical imaging; biometrics (access control); blood vessels; cryptographic protocols; data protection; feature extraction; medical image processing; reliability; security of data; ATM; Automatic Teller Machines; NIR scanning; PIC16F877A microcontroller; advanced finger vein recognition technique; advanced image processing technology; authentication technique implementation; banking sectors; biometric system; cost effectiveness; entry control; facial recognition; fingerprint recognition; forging techniques; hard to be cloned feature; high level data security; hospitals; human physiological feature recognition; information privacy; information protection; invisible feature; iris recognition; military areas; money transfer systems; near infrared scanning; noninvasive method; palm print recognition; physical contact; physiological feature identification; physiological feature verification; real time authentication system; reliability; unauthorized access prevention; voice recognition; Authentication; Biomedical imaging; Electronic mail; Image recognition; Iris recognition; Physiology; Authentication; Finger vein; Histogram; Image processing; PIC microcontroller;