Enterprises to Adopt Biometric Middleware Solutions in Next 10 Years

According to a recent report by FactMR, the biometric middleware solution market is likely to see more demand in the coming years. This kind of solution facilitates enterprises to rapidly deploy biometrics solutions without any development hassles within a very affordable budget and the demand is rising dramatically.

What is Biometric Middleware?

Biometric middleware is a ready software solution that facilitates biometric identification (1:N) or authentication (1:1) functions for desktop or web applications with the help of a biometric scanner and a biometric matching engine. When using biometric middleware, it’s just a matter of hours to deploy a full-fledged biometric system. Some middleware solutions, like Hybrid Biometric Platform by M2SYS, even comes with support for multiple biometric modalities like the fingerprint, finger vein, iris, and facial recognition.

Market Scenario

Research conducted by Fact.MR disclosed their report on the market size of biometric middleware. According to present demand and the rate of adoption of biometric middleware in enterprises, it is expected to reach 4.3 billion US dollars in the next 10 years, whereas the present market size is just around 1 billion US dollars. Another market research report recognized M2SYS Technology as one of the leading contributors behind this growth. There are millions of patients in the USA relying on their biometric identification systems, thousands of bank account holders are identified every day and enterprises are saving billions of dollars per year by optimizing their workforce.

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Finger Vein Biometrics Identification for Membership Management Software

An article published today in the University of Vermont’s campus newspaper The Vermont Cynic reported that the campus recreation center has adopted M2SYS finger vein technology for student member identification. Tim Lewis, associate director for campus recreation made the decision to use finger vein biometrics for member identification after brainstorming ideas on how to eliminate students carrying ID cards. Happy to see our finger vein biometric identification system used at the University of Vermont through a partnership we have with Vermont Systems, a recreation and parks software provider based in Essex Junction, VT. Modern-day membership management software is designed to help create efficiencies that antiquated methods simply can’t provide. In an effort to eliminate ID cards, prevent identity fraud, and create a more convenient user experience, many membership management facilities are evaluating vascular biometrics (finger vein) for identification because of the distinct ...

Iris Recognition vs. Retina Scanning – What are the Differences?

In biometrics, iris and retinal scanning are known as “ocular-based” identification technologies, meaning they rely on unique physiological characteristics of the eye to identify an individual. Even though they both share part of the eye for identification purposes, these biometric modalities are quite different in how they work. Let’s take a closer look at both and then explain the similarities and differences in detail: Retinal Scanning: The human retina is a thin tissue composed of neural cells that are located in the posterior portion of the eye. Because of the complex structure of the capillaries that supply the retina with blood, each person’s retina is unique. The network of blood vessels in the retina is so complex that even identical twins do not share a similar pattern. Although retinal patterns may be altered in cases of diabetes, glaucoma or retinal degenerative disorders, the retina typically remains unchanged from birth until death. (Source: Wikipedia) ...

False Rejection Rate – What Does It Mean And Why Should I Care?

False reject rate is a statistic used to measure biometric performance when operating in the verification task and it usually calculated as the percentage of times the system produces a false reject. A false reject occurs when an individual is not matched to their own existing biometric template. For example: John claims to be John, but the system incorrectly denies the verification. This can be particularly frustrating for an end user who knows that they are enrolled in the system and should be recognized and verified, but for some reason the system is incorrectly rejecting their scan. This can cause unnecessary logjams, affect service, frustrate staff and negatively impact productivity.

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