Xu et al., 2018 - Google Patents
A target image–oriented dictionary learning–based method for fully automated latent fingerprint forensicXu et al., 2018
- Document ID
- 1281439633319588887
- Author
- Xu J
- Hu J
- Jia X
- Publication year
- Publication venue
- Computational Intelligence
External Links
Snippet
Several fully automated latent print forensic techniques have been reported. In this paper, we propose a fully automated latent print segmentation module for the partition of the fingerprint region in a query latent image, which can help find a corresponding match of the …
- 125000004429 atoms 0 abstract description 93
Classifications
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- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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- G—PHYSICS
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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