Vein Patterns from the Palma Dorsa

Vein Patterns from the hand as a biometric trait provide a robust, cost effective solution to verification of populations

A cost effective proto-system has been built around either absorption of light through the hand or around reflection of light to the surface to capture the desired prints, using low cost Infra Red light arrays and an IR sensitive Digital SLR Camera.

A computationally cheap algorithm to automatically extract the desired patterns from the extracted image and use it to verify against previously registered prints has also been proposed. 

Absorption based approach may be looked up in: Soni M., Gupta S., Gupta P. (2010) A New Approach for Vein Pattern-Based Recognition. In: Huang DS., Zhao Z., Bevilacqua V., Figueroa J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg

Reflection based approach may be looked up in: http://www.jcomputers.us/vol7/...

The trait is unique, universal, sub-cutaneous and so not prone to manipulation, subservient and so employable with multimodal systems, robust and accurate while being computationally cheap

In the paper published in 2010, the biometric trait and a system built around it was novel. The same has been improved upon and replicated by several researchers since. Technology today provides faster algorithms and more compact hardwares to process the trait. However, the core technique stays the same, as proposed  by me in 2010. It uses regulation and computationally cheap variants of previously proposed algorithms for segmentation, pattern extraction and matching.

The hardware designed for image acquisition are simple and attended. They require the subject to hold a plinth, while their image is captured. Coupled with soft biometrics, easy registration and database management can be provided. The subject does not need to be trained or especially attentive for their prints to be captured. The proposed system is overt with possibilities of further customisation as per requirement.  

The proposed system can be an attendance management system in a closed environment. It can be an access control system as well. @ dimensional venal trees captured using the protosystem can be used for verification and identification.

As stated above, the system requires no special training for the subject. It is completely automated for steps of image processing and decision making. However, it requires attendants for registration and database management. 

Collected prints require less storage space and no internet for decision making.

Computation solutions in the system require modified image processing algorithms and traditional decision makers. They can be made available. Research has been performed for finding the subservience of this biometric trait and results have been tremendous. The trait is capable of being used in multimodal biometric systems as well. 

As previously stated, the image acquisitions system is overt and attended. It does not require any training and provides a comfortable plinth for the subject to grab. No other involvement is required from a subject, other than holding on to a bar.

The match accuracy for a 1000 subjects has been found to be in excess of 99.1% with extremely low Failure to Enroll Rates. 

With funding and time required for RnD, a robust system can be provided. 

Vein Patterns as a biometric trait is a sustainable solution for recognition. 

I envision this to replace fingerprints for access control and routine recognitions.

I am currently a Research Intensive Faculty and an Associate Professor with Lovely Professional University, Jalandhar, Punjab, India

We are a University that can easily attract funds for research

The solution is already in a proto stage and can be designed as per the application desired, within months

We intend to be a start up to begin with and if proper funding is received, we can grow into a bigger conglomerate with efficient production. Once the product is robust as per industry and field standards we intend to market the same as several variants across the world.Variants could be application specific. Profit can be thought off at a later stage. At this stage receiving validation for the proto-system and funding for its development are the first priorities.

This is an actual real world application of our solution. The solution has a potential to take over from all the existing biometric traits simply because of the ease of its use and its cost and simplicity. We are facing a severe shortage of funds and are waiting to take off under your umbrella. The solution and the performed work speaks for itself.

Shortage of funds is our only problem. The solution has been a proven success and once industry standards are obtained, fast and quick solutions can be provided briskly-to all biometric recognition based problems from across the world.