Features of Biometric Modalities – Fingerprint, Finger Vein, Facial, Iris

There are many biometric modalities including fingerprint, finger vein, iris, retina, gait, signature, voice, etc. All of these modalities have some distinctive biometric features, benefits, and limitations, which makes them more suitable for others in different environments and projects. There is not one modality that can be claimed to be the perfect fit for every situation or project. It depends on an organization’s intended use of the technology, the context in which it will be operated under and the people who will be running it. After carefully sorting out these features that will meet their requirement correctly, like speed, accuracy or maybe affordability, organizations come to point when they can select the right biometric hardware.

In this infographics, we have pointed out some important biometric features, which makes 4 of the most popular biometric modality (fingerprint, finger-vein, iris & facial recognition) to stand out from others and why they should be considered before choosing a biometric modality:

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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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