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Bimodal Biometric Authentication

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Anu Antony
Anu Antony

This document describes a proposed bimodal biometric authentication system using finger vein and finger knuckle print recognition. It provides an introduction to biometric recognition and multimodal authentication. The aim of the project is to design a system for bimodal authentication using finger vein and finger knuckle print traits. Flowcharts are provided showing the registration and authentication processes, which include steps like image processing, feature extraction, and matching. The hardware required includes a Raspberry Pi, CMOS camera, and red LED. Programming will be done in Python. References are provided on biometric recognition and related fingerprint and finger vein recognition techniques.

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BIMODAL BIOMETRIC AUTHENTICATION GUIDED BY, PREPARED BY, Anu Antony
CONTENTS : Introduction Aim Flowchart Hardware required Reference
INTRODUCTION : Biometric Recognition is the process of comparing data for the person's characteristics to that person's biometric data to determine resemblance. Increase in demand for accurate human authentication, leads to the need for multimodal authentication. In terms of biometrics, a human finger itself is with trimodal traits such as Finger print, Finger vein, and Finger knuckle print, which provides convenience and practicality for finger trimodal recognition.
This project aims to design a bimodal biometric authentication using Finger vein and Finger knuckle print. AIM :
FLOWCHARTS : Registration end Finger vein Image Processing Vein Extractio n Database Image Processin g Feature Extracti on Finger knuckle print
FLOWCHARTS : Authentication end Finger vein Image Processing Vein Extractio n Database Image Processin g Feature Extracti on Finger knuckle print Matching Matching
HARDWARE REQUIRED : Raspberry Pi CMOS camera Red LED Programming Language : PYTHON
REFERENCES : [1] A. K. Jain, A. Ross, and S. Prabhakar, ''An introduction to biometric recognition,'' IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 129, 2004. [2] Q. Zhao, L. Zhang, D. Zhang, N. Luo, and J. Bao, ''Adaptive pore model for fingerprint pore extraction,'' in Proc. 19th Int. Conf. Pattern Recognition., Dec. 2008, pp. 14. [3] J. Yang and Y. Shi, ''Finger vein ROI localization and vein ridge enhancement, '' Pattern Recognit. Lett., vol. 33, no. 12, pp. 15691579, 2012.
Bimodal Biometric Authentication

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Bimodal Biometric Authentication

  • 2. CONTENTS : Introduction Aim Flowchart Hardware required Reference
  • 3. INTRODUCTION : Biometric Recognition is the process of comparing data for the person's characteristics to that person's biometric data to determine resemblance. Increase in demand for accurate human authentication, leads to the need for multimodal authentication. In terms of biometrics, a human finger itself is with trimodal traits such as Finger print, Finger vein, and Finger knuckle print, which provides convenience and practicality for finger trimodal recognition.
  • 4. This project aims to design a bimodal biometric authentication using Finger vein and Finger knuckle print. AIM :
  • 5. FLOWCHARTS : Registration end Finger vein Image Processing Vein Extractio n Database Image Processin g Feature Extracti on Finger knuckle print
  • 6. FLOWCHARTS : Authentication end Finger vein Image Processing Vein Extractio n Database Image Processin g Feature Extracti on Finger knuckle print Matching Matching
  • 7. HARDWARE REQUIRED : Raspberry Pi CMOS camera Red LED Programming Language : PYTHON
  • 8. REFERENCES : [1] A. K. Jain, A. Ross, and S. Prabhakar, ''An introduction to biometric recognition,'' IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp. 129, 2004. [2] Q. Zhao, L. Zhang, D. Zhang, N. Luo, and J. Bao, ''Adaptive pore model for fingerprint pore extraction,'' in Proc. 19th Int. Conf. Pattern Recognition., Dec. 2008, pp. 14. [3] J. Yang and Y. Shi, ''Finger vein ROI localization and vein ridge enhancement, '' Pattern Recognit. Lett., vol. 33, no. 12, pp. 15691579, 2012.