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Sriram et al., 2023 - Google Patents

Identification of Finger Vein Images using Artificial Neural Network in comparison of Accuracy with K-means Algorithm

Sriram et al., 2023

Document ID
12694113832907591816
Author
Sriram M
Sudha I
Publication year
Publication venue
2023 9th International Conference on Smart Structures and Systems (ICSSS)

External Links

Snippet

The goal of this recommended study is to identify and perform finger vein recognition of an individual to ensure the Digital security system in smart homes, industries and banks using two different machine learning (ML) techniques and compare the overall performance of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting 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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    • G06K9/6228Selecting the most significant subset of features
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
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    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/00006Acquiring or recognising fingerprints or palmprints
    • G06K9/00067Preprocessing; Feature extraction (minutiae)
    • G06K9/00073Extracting features related to minutiae and pores
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00885Biometric patterns not provided for under G06K9/00006, G06K9/00154, G06K9/00335, G06K9/00362, G06K9/00597; Biometric specific functions not specific to the kind of biometric
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
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    • GPHYSICS
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    • G06FELECTRICAL DIGITAL DATA PROCESSING
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    • GPHYSICS
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    • G07C9/00Individual entry or exit registers
    • G07C9/00126Access control not involving the use of a pass
    • G07C9/00134Access control not involving the use of a pass in combination with an identity-check

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