M2SYS Recognized as the Top KYC Solution Provider by CIO Review

Recently CIO business review recognized M2SYS as one of the top KYC solution providers. KYC is known to be the armor of the banking industry to fight against bank fraud. Modern KYC processes utilize top-notch technologies such as AI, biometrics, social biometrics, the blockchain, and many others. M2SYS provides biometric account holders and non-account holders identity solutions for banks to accurately identify their customers.

CIO Review is a technology magazine that talks about enterprise solutions that can redefine the business goals of enterprises for tomorrow. Every year their editorial board features the best solution provider who is the change maker in their industry. This year CIO Review features M2SYS for its customizable biometric identity management solution for the ‘know your customer’ initiative in the banking and financial services industry.

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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.

Biometrics Technology

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