U.S. flag

An official website of the United States government, Department of Justice.

NCJRS Virtual Library

The Virtual Library houses over 235,000 criminal justice resources, including all known OJP works.
Click here to search the NCJRS Virtual Library

Face Annotation at the Macro-scale and the Micro-scale: Tools, Techniques, and Applications in Forensic Identification

NCJ Number
Patrick J. Flynn; Anil K. Jain
Date Published
8 pages
This project developed, evaluated, and documented a system for facial verification that uses detected facial-marks rather than holistic or larger scale facial structures.
The project developed a robust facial-mark detection method that provides both location and scale information for facial marks. The project has shown the utility of facial marks in face-image retrieval tasks using a large-scale face-image database. The proposed facial-mark matching scheme can be combined with COTS face matcher to improve the overall matching accuracy. The improvements in face matching accuracy are shown both on the general face-image database and the identical-twin face-image database. The project then proposed a conditional filtering scheme in order to reduce the retrieval time on a large-scale face-image database. The study of symbolic query base face-image retrieval showed a great utility for facial marks when query image is not available. The project concludes that although a number cases were found in which facial marks can be used for face-image retrieval tasks, the instability of facial marks is still a major challenge in using facial marks in practice. The instability of facial marks is mainly caused by the low quality of face mug-shot images. The development of a more robust facial-mark detection and representation scheme and establishing a standard practice in face mug-shot image capture that would ensure sufficient quality of image are some of the imminent requirements for extending the use of facial marks. 3 figures