Skip to main content

How to Integrate Biometric Fingerprint Reader on Windows 7


As technology is advancing day by day, we are developing more sophisticated solutions to operate our tasks with convenience. Companies are leading the way to advancement in technology, and as always, Microsoft will be the pinnacle of the mountain.

Microsoft’s Windows Operating System has billions of users, and Windows 7 is still the king of the desktop operating systems around the world. The easy to use functionality is one of the many reasons that make this operating system extremely popular.

To make the operating system even easier and secure, you now have the opportunity to integrate biometric fingerprint readers in Windows 7.

But how?

You may think that it is very complex and costly, but in reality, it is simple. We can show you different ways depending on your expertise.

There are several ways to integrate biometric fingerprint reader in Windows 7. These include:

Bio-Plugin SDK


Bio-Plugin SDK or CloudScanr biometric capture application will allow you to seamlessly integrate a fingerprint reader in Windows 7. It can be applied to both desktop and web applications.


Bio-Plugin supports various biometric modalities including fingerprint, finger vein, iris and facial recognition. You can even host this application within your own database.

Cloud Biometric Matching System – CloudABIS


CloudABIS will allow you to easily integrate fingerprint readers in Windows 7. You just need to connect through the CloudABIS API for biometric enrollment and matching service with the host application. This process eliminates the need for any ActiveX controls you would want to bypass.

Instant Integration – BioSnapOn


You can integrate biometric fingerprint reader in Windows 7 without any code-level knowledge with our BioSnapOn software.

Comments

Popular posts from this blog

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.