Person and credential verification system and method based on deep learning
The invention relates to a person and credential verification system and method, in particular to a person and credential verification system and method based on deep learning and belongs to the field of security guarding. The system comprises a training subsystem and a person and credential verific...
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creator | GAO LEI ZHAO XUAN ZHANG XU HAO JIUYUE SUN MIAOMIAO |
description | The invention relates to a person and credential verification system and method, in particular to a person and credential verification system and method based on deep learning and belongs to the field of security guarding. The system comprises a training subsystem and a person and credential verification subsystem; the method includes a training process and a person and credential verifying process; the training process includes adopting a plurality of on-site facial images of known identities and credential photos to train the training subsystem; the person and credential verifying process includes utilizing the module parameters acquired through the training process, comparing the plurality of on-site acquired images of a discharged person with the credential photos corresponding to the information acquired by a credential reading module, and outputting the verification result whether the person consistent with the credential or not automatically. By the aid of the system and method, the credential photos and a plurality of facial photos acquired through an on-site video monitoring device can be compared effectively, the adaptability to facial angles, on-site environment, light emission and other factors is high, the accuracy of person and credential verification is high, and the discharging speed is high. |
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The system comprises a training subsystem and a person and credential verification subsystem; the method includes a training process and a person and credential verifying process; the training process includes adopting a plurality of on-site facial images of known identities and credential photos to train the training subsystem; the person and credential verifying process includes utilizing the module parameters acquired through the training process, comparing the plurality of on-site acquired images of a discharged person with the credential photos corresponding to the information acquired by a credential reading module, and outputting the verification result whether the person consistent with the credential or not automatically. By the aid of the system and method, the credential photos and a plurality of facial photos acquired through an on-site video monitoring device can be compared effectively, the adaptability to facial angles, on-site environment, light emission and other factors is high, the accuracy of person and credential verification is high, and the discharging speed is high.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2015</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20150701&DB=EPODOC&CC=CN&NR=104751143A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25547,76298</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20150701&DB=EPODOC&CC=CN&NR=104751143A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GAO LEI</creatorcontrib><creatorcontrib>ZHAO XUAN</creatorcontrib><creatorcontrib>ZHANG XU</creatorcontrib><creatorcontrib>HAO JIUYUE</creatorcontrib><creatorcontrib>SUN MIAOMIAO</creatorcontrib><title>Person and credential verification system and method based on deep learning</title><description>The invention relates to a person and credential verification system and method, in particular to a person and credential verification system and method based on deep learning and belongs to the field of security guarding. 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By the aid of the system and method, the credential photos and a plurality of facial photos acquired through an on-site video monitoring device can be compared effectively, the adaptability to facial angles, on-site environment, light emission and other factors is high, the accuracy of person and credential verification is high, and the discharging speed is high.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2015</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAOSC0qzs9TSMxLUUguSk1JzSvJTMxRKEstykzLTE4syQTKFVcWl6TmgpXkppZk5KcoJCUWp6YoAKVSUlMLFHJSE4vyMvPSeRhY0xJzilN5oTQ3g6Kba4izh25qQX58anFBYnJqXmpJvLOfoYGJuamhoYmxozExagBcWTVR</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>GAO LEI</creator><creator>ZHAO XUAN</creator><creator>ZHANG XU</creator><creator>HAO JIUYUE</creator><creator>SUN MIAOMIAO</creator><scope>EVB</scope></search><sort><creationdate>20150701</creationdate><title>Person and credential verification system and method based on deep learning</title><author>GAO LEI ; ZHAO XUAN ; ZHANG XU ; HAO JIUYUE ; SUN MIAOMIAO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN104751143A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2015</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>GAO LEI</creatorcontrib><creatorcontrib>ZHAO XUAN</creatorcontrib><creatorcontrib>ZHANG XU</creatorcontrib><creatorcontrib>HAO JIUYUE</creatorcontrib><creatorcontrib>SUN MIAOMIAO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GAO LEI</au><au>ZHAO XUAN</au><au>ZHANG XU</au><au>HAO JIUYUE</au><au>SUN MIAOMIAO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Person and credential verification system and method based on deep learning</title><date>2015-07-01</date><risdate>2015</risdate><abstract>The invention relates to a person and credential verification system and method, in particular to a person and credential verification system and method based on deep learning and belongs to the field of security guarding. The system comprises a training subsystem and a person and credential verification subsystem; the method includes a training process and a person and credential verifying process; the training process includes adopting a plurality of on-site facial images of known identities and credential photos to train the training subsystem; the person and credential verifying process includes utilizing the module parameters acquired through the training process, comparing the plurality of on-site acquired images of a discharged person with the credential photos corresponding to the information acquired by a credential reading module, and outputting the verification result whether the person consistent with the credential or not automatically. By the aid of the system and method, the credential photos and a plurality of facial photos acquired through an on-site video monitoring device can be compared effectively, the adaptability to facial angles, on-site environment, light emission and other factors is high, the accuracy of person and credential verification is high, and the discharging speed is high.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Person and credential verification system and method based on deep learning |
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