An Embedded Real-Time Finger-Vein Recognition System for Mobile Devices using ARM

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An Embedded Real-Time Finger-Vein Recognition System for Mobile Devices using ARM

SKU: Finger-Vein Recognition System for Mobile Devices using ARM Category:



In this project, we propose a real-time embedded finger-vein recognition system for authentication on mobile devices. The system is implemented on an embedded platform and equipped with a novel finger-vein recognition algorithm. The proposed system consists of three hardware modules: image acquisition module, embedded main board, and human machine communication module. The structure diagram of the system is 1. The image acquisition module is used to collect finger-vein images. The Embedded main board including the Microcontroller chip, memory (flash), and communication port is used to execute the finger-vein recognition algorithm and communicate with the peripheral device. The human machine communication module (LED or keyboard) is used to display recognition results and receive inputs from users. 


  • Private information is traditionally provided by using passwords or Personal Identification Numbers (PINs), which are easy to implement but is vulnerable to the risk of exposure and being forgotten.
  • Biometrics, which uses human physiological or behavioral features for personal identification, has attracted more and more attention and is becoming one of the most popular and promising alternatives to the traditional password or PIN based authentication techniques
  • There is a long list of available biometric patterns, and many such systems have been developed and implemented, including those for the face, iris, fingerprint, palmprint, hand shape, voice, signature, and gait. Notwithstanding this great and increasing variety of biometrics patterns, no biometric has yet been developed that is perfectly reliable or secure. For example, fingerprints and palm prints are usually frayed; voice, signatures, hand shapes and iris images are easily forged; face recognition can be made difficult by occlusions or face-lifts and biometrics, such as fingerprints and iris and face recognition, are susceptible to spoofing attacks, that is, the biometric identifiers can be copied and used to create artifacts that can deceive many currently available biometric devices. 



  • The finger-vein is a promising biometric pattern for personal identification in terms of its security and convenience.
  • The vein is hidden inside the body and is mostly invisible to human eyes, so it is difficult to forge or steal.
  • The non-invasive and contactless capture of finger-veins ensures both convenience and hygiene for the user, and is thus more acceptable
  • The finger-vein pattern can only be taken from a live body. Therefore, it is a natural and convincing proof that the subject whose finger-vein is successfully captured is alive.



Real-Time Finger-Vein Recognition System for Mobile Devices

Real-Time Finger-Vein Recognition System for Mobile Devices


Real-Time Finger-Vein Recognition System for Mobile Devices


  •  Power supply
  •  Microcontroller
  •  RF Module
  •  Encoder/Decoder
  •  Alarm unit
  • Serial communication



  •   KEIL IDE
  •   MATLAB
  •   Flash programmer
  •   Language: Embedded C



  •   ATM and Credit card
  •   Electronic passport
  •   Airport



[1] K. Jain, S. Pankanti, S. Prabhakar, H. Lin, and A. Ross, “Biometrics:a grand challenge”, Proceedings of the 17th International Conference onPattern Recognition (ICPR), vol. 2, pp. 935-942, 2004.

[2] P. Corcoran and A. Cucos, “Techniques for securing multimedia content inconsumer electronic appliances using biometric signa tures,” IEEE Transactionson Consumer Electronics, vol 51, no. 2, pp. 545-551, May 2005

[3] P. J. Phillips, A. Martin C. L. Wilson and M. Przybocki,“An Introduction to Evaluating Biometric Systems,” IEEEComputer, Vol.33, No.2, Feb. 2000, pp. 56-63.

[4] S. Pankanti, R. M. Bolle and A. Jain, “Biometrics: TheFuture of Identification,” IEEE Computer, Vol.33, No.2,Feb. 2000, pp. 46-49.

[5] H. Lee, S. Lee, T. Kim, and Hyokyung Bahn, “Secure user identificationfor consumer electronics devices,” IEEE Transactions on ConsumerElectronics, vol.54, no.4, pp.1798-1802, Nov. 2008.

[6] Wang , J. Li, and G. Memik, “User identification based on finger vein patterns for consumer electronics devices”, IEEE Transactions onConsumer Electronics, vol. 56, no. 2, pp. 799-804, 2010.

[7] Mulyono and S. J. Horng, “A study of finger vein biometric for personal identification”, Proceedings of the International SymposiumBiometrics and Security Technologies, pp. 134-141, 2008. 

Additional information

Weight 1.000000 kg


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