Abstract: The present invention relates generally to the use of biometric technology for authentication and identification, and more particularly to non-contact based solutions for authenticating and identifying users, via computers, such as mobile devices, to selectively permit or deny access to various resources. In the present invention authentication and/or identification is performed using an image or a set of images of an individual's palm through a process involving the following key steps: (1) detecting the palm area using local classifiers; (2) extracting features from the region(s) of interest; and (3) computing the matching score against user models stored in a database, which can be augmented dynamically through a learning process.

Abstract: System and method for single-action time and attendance record generation and processing via computing devices. The record is generated via a computing device (“Client System”) and received by a server system or other computing device (“Server System”). The user utilizes the Client System to execute a simultaneous or near-simultaneous process of authenticating his or her identity, recording time data and location data, and then sending this data to the server system.

Abstract: Novel systems and methods are disclosed for electronic key provisioning and access management in connection with mobile devices. The electronic keys can be time-denominated and event-denominated, thereby increasing the security and ease of use of access management for physical or virtual resources. The access management is granted in a protocol based on biometric features, contextual data, electronic keys, or a combination thereof.

Abstract: The present invention relates generally to the use of biometric technology for authentication and identification, and more particularly to non-contact based solutions for authenticating and identifying users, via computers, such as mobile devices, to selectively permit or deny access to various resources. In the present invention authentication and/or identification is performed using an image or a set of images of an individual's palm through a process involving the following key steps: (1) detecting the palm area using local classifiers; (2) extracting features from the region(s) of interest; and (3) computing the matching score against user models stored in a database, which can be augmented dynamically through a learning process.