Posted in | News | Light / Image Sensor

Neurotechnology Launches Upgraded Biometric Recognition Technologies

Neurotechnology, a biometric technology developer, has released upgraded software development kits (SDK) for biometric identification of face, fingerprint, object recognition and iris & voice identification.

The released versions include the VeriFinger 6.5 for biometric fingerprint recognition, the VeriLook 5.2 for face recognition, VeriLook Surveillance 2.1for multiple face recognition, the VeriEye 2.5 for iris detection, the VeriSpeak 1.1 for voice identification, the MegaMatcher 4.3 for multi-biometric identification and the SentiSight 3.1 for computer-vision and robotic applications.

The Chief Executive Officer of Neurotechnology, Algimantas Malickas stated that the updated SDKs will allow customers to develop more reliable and faster applications. The embedded SDK version of the released products can be used to develop multi-modal or single biometric applications and recognition system using Android devices.

The VeriFinger 6.5 SDK for biometric fingerprint recognition now offers a 20% reduction in the false rejection rate and the algorithm is used in the VeriFinger Embedded 1.1 SDK.

The VeriLook 5.2 SDK for face recognition offers enhanced recognition reliability. Its advanced algorithm can simultaneously process multiple faces in a single frame. The algorithm is used in both VeriLook Surveillance 2.1 SDK and the VeriLook Embedded 1.1 SDK.

The VeriEye 2.5 SDK features a faster algorithm for iris recognition and offers a template extraction option. Providing iris recognition on embedded applications, the VeriEye Embedded 1.0 SDK is compatible with MegaMatcher and VeriEye-based products.

The VeriSpeak 1.1 SDK now offers pause detection technology and its text-dependent algorithm provides additional layer of security against unauthorized access. The VeriSpeak Embedded 1.0 SDK enables voiceprint identification using mobile devices and smartphones.

The MegaMatcher 4.3 SDK is a large-scale multi-biometric solution for high speed identification using large databases.

The SentiSight 3.1 SDK features a faster algorithm that enables tracking of multiple objects simultaneously. The SentiSight Embedded 1.0 SDK uses the SentiSight 3.1 algorithm and enables development of augmented reality, robotics, mobile law enforcement, and object recognition applications.

Source: http://www.neurotechnology.com

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Choi, Andy. (2019, February 24). Neurotechnology Launches Upgraded Biometric Recognition Technologies. AZoSensors. Retrieved on April 28, 2024 from https://www.azosensors.com/news.aspx?newsID=4035.

  • MLA

    Choi, Andy. "Neurotechnology Launches Upgraded Biometric Recognition Technologies". AZoSensors. 28 April 2024. <https://www.azosensors.com/news.aspx?newsID=4035>.

  • Chicago

    Choi, Andy. "Neurotechnology Launches Upgraded Biometric Recognition Technologies". AZoSensors. https://www.azosensors.com/news.aspx?newsID=4035. (accessed April 28, 2024).

  • Harvard

    Choi, Andy. 2019. Neurotechnology Launches Upgraded Biometric Recognition Technologies. AZoSensors, viewed 28 April 2024, https://www.azosensors.com/news.aspx?newsID=4035.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.