Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated PassWord is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated PassWord is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from a biometric sensor on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to a locally stored, encrypted template. For extra security, the biometric matching may be enhanced by the use of an entered PIN. The biometric template and other sensitive data are encrypted using hardware elements of the computing device and ASIC, together with a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to a successfully decrypted template and matching biometric sample. A different de-obfuscated password may be released to authenticate the user to a remote computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from a biometric sensor on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to a locally stored, encrypted template. For extra security, the biometric matching may be enhanced by the use of an entered PIN. The biometric template and other sensitive data are encrypted using hardware elements of the computing device and ASIC, together with a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to a successfully decrypted template and matching biometric sample. A different de-obfuscated password may be released to authenticate the user to a remote computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained from a biometric sensor on a mobile device, containing an ASIC, which is connected to or incorporated within it. The mobile device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to a locally stored, encrypted template. For extra security, the biometric matching may be enhanced by the use of an entered PIN. The biometric template and other sensitive data are encrypted using hardware elements of the mobile device and ASIC, together with a PIN hash. A stored obfuscated Password is de-obfuscated and released to the mobile device authentication mechanism in response to a successfully decrypted template and matching biometric sample. A different de-obfuscated password may be released to authenticate the user to a remote computer and to encrypt data in transit. The system eliminates the need for the user to remember and enter complex passwords on the mobile device.

Abstract: Biometric data, which may be suitably transformed are obtained from a biometric input device contained within a stand-alone computer or a mobile device, which may contain an ASIC chip connected to or incorporated within the stand-alone computer or mobile device and which includes the capability for capturing one or more biometric samples and for biometric feature extraction, matching and encryption. For extra security, the biometric matching is used in conjunction with a PIN to authenticate the user to the stand-alone computer or mobile device. The biometric template and other sensitive data residing on the mobile device are encrypted using hardware elements of the mobile device (or the ASIC) together with the PIN hash and/or the Password hash.

Abstract: A dynamic signature/sign biometric verification system for detecting and preventing fraudulent transactions is described. The system comprises remote digital signature/sign input devices, a means to extract spatial and temporal features from the signature, a means to transmit the signature/sign features along with customer identifier information to a centralized signature/sign verification authority, a means for combining signature/sign feature verification with other forms of fraud detection technology, and a means for transmitting the results of a signature/sign verification back to the remote location where the signature/sign was captured. The system was primarily developed for use in payment card industries (e.g. credit cards, debit cards) but has applicability to other centralized signature/sign verification applications such as Automated Teller Machine authorizations and other identity theft detection and monitoring services.

Abstract: Biometric data, suitably transformed are obtained from a biometric input device contained within a stand-alone computing device and used in conjunction with a PIN to authenticate the user to the device. The biometric template and other data residing on the device are encrypted using hardware elements of the device, the PIN and Password hash. A stored obfuscated password is de-obfuscated and released to the device authentication mechanism in response to a successfully decrypted template and matching biometric sample and PIN. The de-obfuscated password is used to authenticate the user to device, the user to a remote computer, and to encrypt device data at rest on the device and in transit to and from the remote computer. This creates a trusted relationship between the stand-alone device and the remote computer. The system also eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: A dynamic signature/sign biometric verification system for detecting and preventing fraudulent transactions is described. The system comprises remote digital signature/sign input devices, a means to extract spatial and temporal features from the signature, a means to transmit the signature/sign features along with customer identifier information to a centralized signature/sign verification authority, a means for combining signature/sign feature verification with other forms of fraud detection technology, and a means for transmitting the results of a signature/sign verification back to the remote location where the signature/sign was captured. The system was primarily developed for use in payment card industries (e.g. credit cards, debit cards) but has applicability to other centralized signature/sign verification applications such as Automated Teller Machine authorizations and other identity theft detection and monitoring services.

Abstract: Biometric data, suitably transformed are obtained from a biometric input device contained within a stand-alone computing device and used in conjunction with a PIN to authenticate the user to the device. The biometric template and other data residing on the device are encrypted using hardware elements of the device, the PIN and Password hash. A stored obfuscated password is de-obfuscated and released to the device authentication mechanism in response to a successfully decrypted template and matching biometric sample and PIN. The de-obfuscated password is used to authenticate the user to device, the user to a remote computer, and to encrypt device data at rest on the device and in transit to and from the remote computer. This creates a trusted relationship between the stand-alone device and the remote computer. The system also eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Biometric data are obtained through a biometric input device (120) and subsequently pixelated via a pixelator (130). The pixelator (130) creates an image of the biometric data. Via a processing unit (110), a relationship between pixels of a transformed version of the image is asserted. Thus, the biometric data is rotated to a consistent inclination based on the relationship between pixels regardless of an orientation in which the biometric data were captured in the original image. Once the image has been transformed, features of the biometric data may be extracted and either stored in a data storage unit (140) or compared with previously stored feature values for validation of the biometric data.

Abstract: Optical systems of the present invention generally include an optical signal controller disposed along an optical link between two optical nodes. The optical signal controller is configured to provide a monitoring signal from an optical signal passing between the nodes as a plurality of wavelength sub-bands at least one of which includes a plurality of signal channels. The controller generates a compensating channel having an optical power that is a function of the monitoring signal power in the plurality of wavelength sub-bands or total power. The compensating channel is combined with the optical signal to compensate for power variations in the optical signal passing between the nodes. In addition, the compensating channels can be used to transmit communication or system supervisory information between monitoring points and/or nodes in the system.