Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Face Recognition
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Automated encoding of footwear patterns for fast indexing
Image and Vision Computing
Learning pattern classification-a survey
IEEE Transactions on Information Theory
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Footwear marks recovered from crime scenes are an important source of forensic intelligence or evidence - for some crime types, there is a greater probably to recover footwear marks than fingerprint ones. Currently the process of identifying a specific shoe model from the 10,000s of possibilities is a time-consuming task for expert examiners. As with many other crime marks, for example latent fingerprints, there is an increasing need for automation. The emergent research effort in this field has been hampered by the lack of a suitable dataset of footwear impressions. We present, here, a substantial and fully characterized dataset together with a proposed methodology for its use.