Image Capture and Algorithm / Mar 21, 2019
Biometric: What is important in choosing a biometric system?
The biometric market is one of the fastest growing industries in the world. In fact, the biometric systems market is expected to reach over $40 billion by 2023. It is no surprise that more and more manufacturers are entering this industry. This comes with both benefits and risks for consumers and end customers. With increased competition comes added choice. Supply and demand rules apply. When supply goes up, price comes down. The cost of sensors and components become cheaper through scales of economy. Suppliers invest in research and development and find new innovative ways to meet everyday challenges, so on the whole, even as a biometric manufacturer competing for market share, we welcome the growth of the industry.
However, there is a price to pay for customers who are now able to buy products that, on face value, may seem similar in appearance and application if they do not do their homework or due diligence. More and more of our customers have successfully installed our solutions and are pleased with the performance, but only after they have previously invested in lower-quality hardware that has not met expectations. Short of purchasing dozens of devices and testing them in your real-life environments, which, if you have the budget and resource to manage this is actually a good idea, you should focus on two aspects; the image capture process and the algorithm.
The image capture process is how accurately we can capture the unique physical characteristics, for example your fingerprint, or more precisely the intricate details of your fingerprint ridges. Once an image is obtained, it is immediately converted into data points. These are the areas where a fingerprint ridge divides in two, or comes to a stop.
It goes without saying, the larger the surface area of the finger that can be captured, and the more detail that can be captured, the more data points can be acquired.
These data points are ‘passed’ to the algorithm. The algorithm compares the data points in terms of their position in the image, their distance and angles from each other. The more robust the algorithm, the more unique information can be obtained. This information is converted in to a biometric template – a digital representation of that pattern. The biometric template is then encrypted and stored in a database. The more sophisticated the algorithm, the more detailed the biometric template.
When considering which biometric devices to install, it is very important to understand how the image is captured and what algorithm is used to create the biometric template. The unique value proposition of working with TBS is that we offer one of the widest ranges of biometric technologies (image capture) and only work with the leading, independently tested algorithm providers. The result is that we can provide the right type of biometric for every application, and once installed, you will experience unparalleled reliability and performance.
Think Biometrics – Think TBS!