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Manickam et al., 2019 - Google Patents

Score level based latent fingerprint enhancement and matching using SIFT feature

Manickam et al., 2019

Document ID
17399936991297774001
Author
Manickam A
Devarasan E
Manogaran G
Priyan M
Varatharajan R
Hsu C
Krishnamoorthi R
Publication year
Publication venue
Multimedia Tools and Applications

External Links

Snippet

Latent fingerprint identification is such a difficult task to law enforcement agencies and border security in identifying suspects. It is a too complicate due to poor quality images with non-linear distortion and complex background noise. Hence, the image quality is required …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/00006—Acquiring or recognising fingerprints or palmprints
    • G06K9/00067—Preprocessing; Feature extraction (minutiae)
    • G06K9/00073—Extracting features related to minutiae and pores
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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
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G—PHYSICS
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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

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