1 - 6 of 6 Chapters
[This chapter presents fundamental concepts and terminology associated with latent fingerprint processing, with particular reference to overlapped latent fingerprints. It introduces the matching process itself, including classical manual latent fingerprints matching procedures. It also presents...
[This chapter presents an overview of existing image datasets that can be used for evaluating approaches for overlapped fingerprint separation. It gives special attention to the Vlatacom dataset, created by the authors and publicly available, which consists of 120,000 synthetically overlapped...
[This chapter describes the problem of segmentation of overlapped fingerprints, which is a required prerequisite step in the fingerprint processing pipeline, performed before the processes of fingerprint separation and subsequent verification. Overlapped fingerprints segmentation is usually...
[This chapter describes a convolutional neural network (CNN)-based approach for overlapped fingerprint mask segmentation. The CNN classifies each image block within the overlapped fingerprint image into three classes—background (B), single fingerprint (S), and overlapped fingerprint (O). The...
[Overlapped fingerprints are often found in latent fingerprints lifted from crime scenes and in live-scan fingerprint images when the surface of fingerprint sensors contains residues of fingerprints of previous users. Such overlapped fingerprints must be separated before they can be processed by...
[This chapter describes a machine learning based approach for overlapped fingerprint separation. The algorithm works in a block-based fashion: after producing an initial estimation of the orientation fields present in the overlapped fingerprint image, it uses a neural network to separate the...
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