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Bedford, MA, United States

Aware Inc | Date: 2015-07-02

A technique for controlling the quality of one or more compressed images. The technique allows, for example, the selection of a target quality metric(s) and the compression of the image(s) such the compressed image(s) meets the metric(s). Alternatively, a target quality metric can be specified, and the image(s) compressed using parameters estimated to achieve the target quality. Optionally, the quality metric can also be made available to, for example, a user on an image processing system. The quality metrics can be, for example, for one or more layers, one or more images and/or one or more image sequences.

Aware Inc | Date: 2015-01-30

In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Aware Inc | Date: 2015-10-02

A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow--containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.

Aware Inc | Date: 2014-07-18

A diagnostic tool is adapted to include the capability of initiating one or more diagnostic tests, collecting the raw data from the diagnostic test(s) and transporting the raw diagnostic data to an OSS. The OSS interprets the raw diagnostic data and stores the results in a database. The stored results can be searched, sorted, manipulated, analyzed, and the like. The results of any of these operations can then be, for example, displayed to one or more entities such as customer support, network operators, network planners, or the like.

Aware Inc | Date: 2015-09-28

There are several exemplary ways to more efficiently communicate an out-of-domain seed to a receiverin a first technique, the seed can be indicated in the header portion or data portion of a packet. For example, the header portion of the packet could contain one or more bit fields that indicate the value of the LFSR seed used for the preamble portion of the packet. The receiver would learn the out-of-domain seed after receiving a first out-of-domain packet and decoding the header portion of that packet. After learning the out-of-domain seed, the receiver could send a packet indicating the value of the out-of-domain seed to the local master. The local master could then transmit the value of the out-of-domain seed in the header portion or data portion of a local MAP frame.

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