Thaindian News

Washington, Nov 11 (ANI): A University of Miami engineer has developed new highly accurate methods for 3-D face recognition and for ear and face biometric systems that could be used by authorities for issuing drivers licenses, granting access to buildings and for identity verification.

Mohamed Abdel-Mottaleb has developed state-of-the-art systems capable of photographing an image of someone’s face and ear and comparing it against pre-stored images of the same person, with 95-100 percent accuracy.

He has described his research as “satisfying, especially when you know that what you’re doing has real-world applications that will benefit people and enhance personal security.”

The newly developed systems can use 3-D facial images, or combine 2-D images of the face with 3-D models of the ear, which they construct from a sequence of video frames, to identify people by unique facial features and ear shapes.

In the first method, researchers use 3-D facial images with over 95 percent recognition rate, in the lab setting.

Conventional shape matching methods commonly used in 3-D face recognition are time consuming, but the new approach effectively increases computational efficiency while maintaining an acceptable recognition rate.

Abdel-Mottaleb reduces the number of vertices (distinguishable landmarks of each face) considered when matching 3-D facial data, by automatically selecting the most discriminative facial regions.

These automatically selected landmarks were found to be primarily within the regions of the nose, eye brows, mouth, and chin.

The second method called “Multi-Modal Ear and Face Modeling and Recognition” obtains a set of facial landmarks from frontal facial images and combines this data with a 3-D ear recognition component- a much more difficult identification process given the technique’s sensitivity to lighting conditions.

Fusing the scores of these two modalities, the researchers achieved an identification rate of 100 percent in the lab.

“No single approach can give you 100 percent accuracy. One way to increase the accuracy is to use different biometrics and then combine them,” said Abdel-Mottaleb.

These high-tech identification tools help fight crime, and enforce border security.

In the future, the researchers hope to expand their techniques to faces demonstrating facial expressions and to recognize faces using only profile images.

The findings were presented at the 2009 IEEE International Conference on Image Processing in Cairo, Egypt. (ANI)