Identity authentication method for palmprint image recognition based on hierarchical topic model with integrated multi-type features
An identity authentication, hierarchical theme technology, applied in character and pattern recognition, acquisition/organization of fingerprints/palmprints, matching and classification, etc. The effect of fast recognition speed and high recognition accuracy
Active Publication Date: 2019-02-19
湖南工商大学
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The above method is more suitable for occasions where the palmprint to be detected is matched one by one with the registered palmprint to confirm the identity, but for a large-scale recognition system, one-by-one matching cannot meet the real-time requirements of identity recognition.
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[0061] The present invention is an identity authentication method for palmprint image recognition based on a hierarchical theme model with integrated multi-type features. and the general idea of identification and authentication". On the basis of the traditional palmprint recognition process, multi-layer classification and classification positioning are added. First, according to the palmprint features, use the multi-layer LDA topic model to classify the palmprints, and then group the palmprint features into the database according to the classification results; then Extract the features of the palmprint to be detected, use the multi-layer LDA constructed above to classify and locate it, classify it into a suitable category, and then perform feature matching between the palmprint to be detected and the palmprint in this category to realize identity identification. Identification and authentication, the specific steps are as follows:
[0062] (1) use the method that Log-Gabor...
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An identity authentication method for palmprint image recognition based on a hierarchical theme model that integrates multi-type features. Then use the hierarchical topic model to group the palmprint images used for training in layers, and optimize the topology structure of the hierarchical topic model according to the recognition situation of the palmprint images used for testing; then use the training A good topic model classifies the palmprint images to be detected into corresponding groups, and matches the features of the palmprint images to be detected with the features of the palmprint images in the group one by one, so as to realize identity authentication. The recognition accuracy obtained by the invention is relatively high, and the recognition speed is relatively fast, which can meet the real-time requirement of identity authentication through palmprint recognition in large-scale application places.
Description
technical field [0001] The invention belongs to the field of palmprint image processing, and relates to a method for identity authentication through identification of palmprint images, in particular to a method for classifying by identifying multi-layer LDA (Latent Dirichlet Allocation, LDA) palmprint image for identity authentication. Background technique [0002] With the rapid increase of information interaction in modern society, personal identification has become an urgent problem to be solved, and it has been highly valued and widely used in electronic transactions, public security, commercial finance, medical and health, national defense and military departments. Traditional identity determination methods include identification items (such as keys, ID cards, seals, bank cards, passports, etc.) and identification knowledge (such as user names, passwords, code words, etc.). Misappropriation, forgery or forgetting, its identity is easy to be impersonated or replaced by ...
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IPC IPC(8): G06K9/00
CPCG06V40/1347G06V40/1365
Inventor 陈荣元周鲜成徐雪松余绍黔申立智陈浪
Owner 湖南工商大学