Applied Recognition enables Ver-ID face and ID credential authentication for mobile apps

Developers using Cordova or Adobe’s PhoneGap can now add Applied Recognition‘s Ver-ID face and photo ID credential authentication to iOS and Android mobile applications by adding just a few lines of code.

Ver-ID face authentication adds biometric security and convenience to any mobile application by: replacing or complementing traditional username/password logins by adding face authentication as a primary and/or secondary access control mechanism; adding 2FA to increase security for website access by using face authentication on a mobile app in addition to traditional, browser-based logins; adding photo ID authentication to meet AML/KYC compliance and to deter, detect and mitigate fraudsters from impersonating users, and; adding security to transactions and enabling digitally signed documents by authenticating and capturing a live face in the process.

Ver-ID Authentication is built on Applied Recognition’s face recognition algorithm, FaceLocate, trained for over a decade on hundreds of thousands of faces. According to a company statement, FaceLocate can achieve up to 99.99% accuracy, mapping facial features to create a unique faceprint for each registered user.

Ver-ID works entirely on the user’s device, not in the cloud, improving performance and increasing privacy and security to meet government regulations and guidelines regarding biometric data.

“The ongoing digital transformation is moving sensitive, high-value transactions to mobile devices, driving the need for multimodal biometric features, such as Ver-ID’s face authentication, to improve the user experience and provide increased levels of security,” said Don Waugh, co-CEO and founder of Applied Recognition.

Article Topics

Applied Recognition  |  biometrics  |  credentials  |  facial recognition  |  identity verification  |  mobile app