Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: The system and methods disclosed herein validate the authenticity of a document and an individual's claimed identity. The system and method use a validation facility that is configurable to compare and match characteristics of biometric and non-biometric data presented by an individual with biometric and non-biometric data received from a request to a database or file system holding such information. The determination on the matching characteristics of the data can occur in completely automated fashion without intervention from the user, but user intervention is also possible allowing the user to review and override certain data discrepancies. The validation facility provides a user interface for use by a user to review a determination on the data analysis and instruct the validation facility to override that determination if the user determines the cause of the identity verification failure is within an acceptable criterion.

Abstract: A system and method is disclosed for determining the likelihood that two object patterns arise from the same object source. It is able to do this without having previously been exposed to either of the object patterns. This system utilizes an adaptive processor trained to make this determination using a large number of example patterns in different views and orientations. It accommodates large verifications of how an object source is presented in an image. The system also does not require the storage of any information about any particular pattern, which greatly minimizes the storage requirements and improves the throughput of the system. Further, there is no need for accessing a database of previously stored features from a given pattern source. The system is particularly useful for object patterns which consist of facial images. The system employs a new technique for locating an object of interest within a pattern using an adaptive processor to determine a region of interest.