The Difference between the Iris and the Retina and why it’s Important in Biometric Identification

Iris recognition and retinal scanning are both very reliable modalities for biometric identification. However, both possess different characteristics that have a strong impact on their performance based on the environment and deployment purpose. Both biometric modalities use contactless scanners, but there are notable differences between iris recognition and retinal scanning; one being that iris recognition is considered non-invasive, and retinal scanning as invasive because it beams visible light into the eyes during the scanning process.

These biometric identification technologies are often misunderstood and incorrectly assumed to be one in the same despite their distinct differences. In this post, we will discuss the differences between iris recognition and retinal scanning. Read the full post from here.

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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.

Best Biometric Software for Windows 7

Finding the best biometric software for windows 7 should not be a controversial issue. It is yet rather simple to compare between all the biometric software in the market today. A proper biometric software has to have 3 criteria to be called the best biometric software for windows 7. These are, the ability to perfectly integrate with any sort of developing environment, the ability to perform better, faster and accurate, and lastly, multimodality of the single biometric software, which means one single biometric software supports multiple biometric authentications. Let’s now take a look at the M2SYS CloudABIS™ multimodal biometric solution and then you can decide yourself if it is the best biometric software for windows seven or not. The most amazing thing about CloudABIS™ is that it totally removes your burden of creating an SDK. Just imagine how much that saves you in terms of money, time and hassle. CloudABIS™ is a multimodal biometric matching sy...

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