Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS
نویسنده
چکیده
We report on an application of neural face recognition algorithms to a task with relevance to forensic investigations: The software tool PHANTOMAS (phantom automatic search) allows to compare facial line drawings (the Ger-man \Phantomzeichnung") with gray-level images of faces. In addition to normal (textual) database search actions, this software tool allows picture-to-picture searches. We present rst results on the evaluation of a benchmark on this task. The ranking quality of PHANTOMAS allows to spot the true match belonging to a certain drawing on the average within the upper 2.7% of the database (N = 103). It is shown that this is comparable to the human performance on the same data material. Computation times make it feasible to search online in large databases (N 10000). { With the same algorithm it is also possible to classify complex characteristica in faces (gender classiication of line drawings better than 90%).
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