Iris Recognition

Computer scientists at the National Institute of Standards and Technology (NIST) demonstrates that iris recognition algorithms can maintain their accuracy and interoperability for large-scale identity management applicaiton such as cyber security and counterterrorism. Iris recognition has emerged as the second most popular biometric characteristic. The primary work on the technologies is establishing standards for computer algorithms in iris recognition. Currently, there are three competing impage formats and three compression methods going for the international standard.

Reference: Science Daily

Computerized Face-Recognition Technology still Fooled by Cosmetic Surgery

Researchers at West Virginia University reported the results of the first experimental study to quantify the effects of plastic surgery. The results shows that even under the most ideal lighting and positions, the best algorithms for facial recognition failed most of the time. However, there are features beneath the skin that are still observable and unchanged after surgery.

Reference: IEEE Spectrum

Annotate and Search Images Easier

Innovative ImageNotion software developed in Europe will soon be available to media agencies. The software technology that links the content of photos to concepts to make images understandable by computers in order to easily organise, search and navigate collections of digital images. It includes text mining, object recognition, face detection and identification. This can potentially save image professionals time and money.

Reference: Science Daily