VEINS PATTERN BASED BIOMETRIC AUTHENTICATION SYSTEM

Vein detection is one of the newest medical Imaging techniques researched today. Now a day?s only a few devices supported the IR technique are implemented & researched there's strong demand to develop such devices. While the concept behind the IR imaging is straightforward, there are various cha

Project Title

VEINS PATTERN BASED BIOMETRIC AUTHENTICATION SYSTEM

Project Area of Specialization

Biomedical Engineering

Project Summary

Vein detection is one of the newest medical Imaging techniques researched today. Now a day’s only a few devices supported the IR technique are implemented & researched there's strong demand to develop such devices. While the concept behind the IR imaging is straightforward, there are various challenges to be found throughout the planning and implementation of a tool concerning the illumination system, image acquisition system & image processing algorithms at a really low price. Vein detection system can be used for biometric Authentication and Security Application.it can also be used to find the location of the veins inside the hand. The major problem faced by the doctors today is difficulty in accessing veins for intravenous drug delivery & other medical situation. Blood clots, bruises, rashes, etc. occurs due to improper detection of veins. That’s why a non-invasive subcutaneous vein detection system has been developed success-fully supported near IR imaging and interfaced to a laptop to form it portable. A customized webcam camera is used for capturing the vein images and the Computer Software module (MATLAB) is used for processing.

Project Objectives

Our objective is to design a system based on vein recognition which will capture and analyze vein patterns for security purposes. Vein-based systems usually utilize various anatomic features. In addition, a vein pattern is unique even for identical twins and exists only for living human beings. This system can be used for security purposes and personal identification of an individual person. It can also be used for medical purposes to find the location of a vein.

Project Implementation Method

A vein recognition system consists of the following steps:

 (a) Image Acquisition

 (b) Finger Region Extraction

 (c) Preprocessing

 (d) Feature Extraction

 (e) Matching

Image Acquisition:

Image acquisition is the first most steps in the vein recognition system. The vein image is acquired using the vein scanner or the vein reader. The vein scanner contains the NIR (Near Infra-red) sensors. The vein scanner works on the principle of the sunshine transmission phenomenon.

Veins Region Extraction:

 The veins region extraction i.e. ROI (Region of Interest) from the vein image is extracted. The ROI is obtained by Thresholding the image. The multidimensional filtering is done for Thresholding. The ROI extracted image is obtained by convolving the cropped and threshold image.

 Preprocessing:

 In the image preprocessing the image enhancement is done by certain image resizing rules in order to get the vein patterns to be visible properly.

 Feature Extraction:

 Feature extraction is the most important step in the recognition process. In the vein recognition system, the important features are edges. The algorithm used for extracting edges is the canny edge detection method.

 Matching:

The matching is the same as classification. The matching is done using the difference between features of different or the same images of a vein and the difference is compared with the threshold value. If the matching ratio is greater than or equal to threshold then the images are likely to be matched and if it is less than threshold then it is not the image of the same personality.

A Graphical User Interface (GUI) is created to make the system user-friendly and easily accessible. A database is used to store all the data and the vein's features of the user.

Benefits of the Project

 Vein-based systems usually utilize various anatomic features. The vein pattern is unique even for identical twins and exists only for living human beings. This system is used for security purposes and personal identification of an individual person. The second benefit of this system is that it can be used to detect the location of veins to overcome the difficulties in finding the location of Veins

Technical Details of Final Deliverable

A customized webcam camera is used for capturing the vein images and the Computer Software module (MATLAB) is used for processing. The vein scanner consists of the NIR (Near Infra-red) LEDs. The webcam is modified To block the unnecessary visible radiation (below 720nm) and allow the near-infrared radiation to pass through. the transmission filter is placed on the inner a part of the lenses (replace the IR filter with a clean un-used negative film). In this way, a filter can effectively block quite 95% of the light. A black box is created to stop the Infrared Radiation from scattering out and all-Infrared light is trap inside a box.

The following five steps are used in MATLAB

 (a) Image Acquisition

 (b) Finger Region Extraction

 (c) Preprocessing

 (d) Feature Extraction

 (e) Matching

 A Graphical User Interface (GUI) is created to make the system user-friendly and easily accessible. A database is used to store all the data and the vein's features of the user.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

Medical , Health

Core Technology

Wearables and Implantables

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Sustainable Cities and Communities, Partnerships to achieve the Goal

Required Resources

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