EP2774125B1 - Dokumentenprüfung - Google Patents

Dokumentenprüfung Download PDF

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Publication number
EP2774125B1
EP2774125B1 EP12784206.0A EP12784206A EP2774125B1 EP 2774125 B1 EP2774125 B1 EP 2774125B1 EP 12784206 A EP12784206 A EP 12784206A EP 2774125 B1 EP2774125 B1 EP 2774125B1
Authority
EP
European Patent Office
Prior art keywords
data
personal
document
plausibility
personal document
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP12784206.0A
Other languages
German (de)
English (en)
French (fr)
Other versions
EP2774125A1 (de
Inventor
Michael Fiedler
Oliver Paul
Birte BRÄUTIGAM
Axel Vonderhagen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Giesecke and Devrient Mobile Security GmbH
Original Assignee
Giesecke and Devrient Mobile Security GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Giesecke and Devrient Mobile Security GmbH filed Critical Giesecke and Devrient Mobile Security GmbH
Publication of EP2774125A1 publication Critical patent/EP2774125A1/de
Application granted granted Critical
Publication of EP2774125B1 publication Critical patent/EP2774125B1/de
Active legal-status Critical Current
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Classifications

    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/22—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder
    • G07C9/25—Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/20—Individual registration on entry or exit involving the use of a pass
    • G07C9/27—Individual registration on entry or exit involving the use of a pass with central registration

Definitions

  • the present invention relates to a method for verifying documents which are clearly assigned to a person, as well as a corresponding verification device and a verification system with such a verification device.
  • WO 02/50781 A2 describes a procedure for ID verification. Accordingly, it is the object of the present invention to propose an improved verification of such documents.
  • a method for verifying a document of the above-mentioned type uniquely assigned to a person - hereinafter referred to as "personal document" for the sake of simplicity - an unambiguous identification of the personal document is first read from this or read out from it, depending on whether it is a printed one or a personal document equipped with an integrated circuit.
  • the term reading out of data is understood to mean both reading out from an integrated circuit and reading out from the surface of the document.
  • reference data for carrying out an authenticity check are determined in a database network, which are assigned to the personal document to be checked, and are compared with comparison data which are derived from the document itself. If the comparison and reference data match in the sense of a specified metric, the personal document is considered genuine in the sense of this authenticity check.
  • the authenticity check is supplemented by a plausibility check of the personal document based on plausibility data that are related to the personal document to be verified or the person to whom the personal document is clearly assigned and are also determined in the database network.
  • the plausibility check checks whether there is consistency in content between the plausibility data on the one hand and the personal document, the personal data or factual data recorded or stored on it, and the person himself.
  • the personal data or factual data (hereinafter referred to simply as personal / factual data) relate to personal data relating to the person or factual data relating to an object that is assigned to the person through ownership or ownership, e.g. a vehicle or the like.
  • the plausibility data in turn relate to personal / factual data of the person or of an object assigned to the person in other contexts, for example in the form of further personal documents or the like stored in the database network.
  • the authenticity check is made safer and more reliable and therefore significantly improved by the additional logical-qualitative plausibility check.
  • Another advantage is that in the plausibility check, unlike the authenticity check, dynamic personnel / factual data can also be taken into account, i.e. data that can change over time.
  • the personal document can be any document that is related to a person, e.g. also an electronic document such as a chip card, in which personal or factual data is present in a memory of an embedded integrated circuit, or a paper or from Plastic existing document on which personal / factual data is printed or embossed.
  • Such personal documents can in particular be official documents or documents issued by an authority or an organization that reproduce personal or factual data of the person concerned for machine or visual inspection, such as ID, travel, access or authorization documents, certificates, invoices, application documents , Tax documents, value or personal documents with reference in kind, such as vehicle registration documents, in particular electronic vehicle registration documents ("electronic vehicle Registration Card "; eVRC), or other documents that document ownership or ownership.
  • the verification method is implemented with a verification system according to the invention, which comprises at least one verification device and a database network with at least one, but preferably several databases.
  • These databases can be operated by various authorities, organizations or companies that manage personal or factual records and documents that are potential sources for plausibility data.
  • the authenticity check and plausibility check can be carried out automatically or partially or entirely manually by an operator of the verification device.
  • the database network preferably includes a verification server to which the verification device addresses with requests for reference data, plausibility data or further personal / factual data, for example via a data communication connection via the Internet.
  • the verification server executes the request by determining the requested data in the available databases and making them available to the verification device.
  • the verification device comprises suitable read-out devices in order to read out the identification and / or the comparison data from or from the document, for example a camera or scanning arrangement or electronic read-out means via contactless or contact-based data communication interfaces.
  • the identification can be a unique code applied to the personal document, for example the serial number encoded as a barcode, or a unique code stored in an integrated circuit.
  • the reference data are determined in the database network on the basis of the unique identification of the personal document, e.g. on a database of the manufacturer or publisher of the personal document, in which the reference data can be identified via the associated identification.
  • the plausibility data can be determined on the basis of the identification or on the basis of the reference data already determined in the database network.
  • the comparison and reference data can be derived from any authenticity features, for example from the optically variable elements, holograms, embossed structures, color imprints or print patterns, watermarks or the like known from the banknote or security sector.
  • the reference data preferably form a digital image of the original, unforged personal document, while the comparison data is a current digital image of the circulating personal document that was produced by the verification device specifically for the authenticity check.
  • the plausibility data can relate to any further personal / factual data that does not emerge from the personal document and can be determined in the database network.
  • the most current available plausibility data is preferably determined, e.g. the most current digital image of the person or the most current possible further documents on the person with further personal / factual data. In this way, the plausibility check is always carried out on the latest available personal / factual data.
  • the verification device or the verification server it is determined whether it is logical-qualitative There are correspondences or consistencies in content between the personal / factual data to be taken from the personal document and the plausibility data determined. For example, it can be checked whether the plausibility data can be logically assigned to the personal document or the person, for example by comparing a current image of the person that has been determined with the current appearance of the person. It is also conceivable to check any other logical assignments, e.g. to check whether an age resulting from the personal / factual data correlates with the current appearance of the person or whether the place of a vehicle registration corresponds to the place of residence of the person. If such tests are negative, there are at least doubts about a possible positive authenticity test.
  • the plausibility data determined and the personal / factual data specified on the document are consistent in terms of content, i.e. not contradict each other, e.g. if the personal / factual data specified on the document do not match the personal / factual data determined in the database network.
  • it can also be checked whether the plausibility data can be derived from the personal / material data specified on the personal document, or whether the personal / material data specified on the document can at least partially be derived from the plausibility data . This would be the case, for example, if a marital status or a comparable private characteristic can be derived from the personal / material data specified on the personal document, which can also be derived from an official document from which plausibility data was taken.
  • the plausibility check supplements the authenticity check with a second information channel and another check.
  • During the authentication process is usually based on a purely mathematical or numerical-quantitative comparison operation, logical deductions are made in the plausibility check according to more qualitative standards.
  • statistical methods for example a regression analysis, or derivation and information extraction methods from the field of "data mining” and “information retrieval”, such as classification and cluster analysis or the like, can also be used in the plausibility check.
  • the additional personal / factual data obtained in the course of determining the plausibility data can also be made available, for example, to an operator of the verification device or an official employee for further verification of the personal document and / or the person, e.g. to check the rightful owner when purchasing a Motor vehicle.
  • a verification system 20, 30, 32 according to Fig. 1 according to a verification procedure Fig. 3 The document to be verified is a readable, paper or card-shaped personal document 10, which has a barcode 11 as an identifier for the unique identification of the personal document 10, and which is provided with authenticity features from which comparison data 12 (CMP) can be derived for an authenticity check.
  • CMP comparison data 12
  • personal / factual data 13, 14 are specified on the personal document 10, which either relate to the person to whom the personal document 10 is assigned, or provide information and details about objects that are owned or owned by this person and which the personal document 10 relates, for example, to a motor vehicle of the person.
  • a passport or portrait picture 13 of the person and further personal or material-related data 14 can be specified on the personal document 10 relating to the person's name, address or date of birth or a type, technical data or a registration of a motor vehicle or the like.
  • the verification system 20, 30, 32 is set up and equipped to check electronic personal documents 10.
  • Fig. 2 shows a chip card-shaped personal document 10, on which a barcode 11 is also printed as a unique identifier is.
  • Personal / factual data are also given on the card body of the personal document 10, namely a passport or portrait picture 13 as well as personal or factual information 14.
  • the same personal / factual data 13, 14 are - in digital form - but also in a non- volatile memory of an integrated circuit 17 is stored, which is embedded in the electronic personal document 10 and is accessible via contact surfaces 16 for the verification device 20.
  • comparison data 12 for the authenticity check and further personal / factual data 15 which are not visibly applied to the personal document 10.
  • the personal document 10 relates to an electronic vehicle registration card ("Electronic Vehicle Registration Card”; eVRC) according to ISO 7816, which allows contact-based data communication with the verification device 20 via a contact field 16 and a large number of personal / factual data 13 , 14,15 to the vehicle owner and the vehicle.
  • eVRC Electronic Vehicle Registration Card
  • the comparison data 12, which are compared with reference data 37 (REF) stored in a database 32 during the authenticity check, can relate to any authenticity features originating from the security and value document area, for example microscript, complex graphic patterns and guilloches, optically variable imprints and elements, laser images , Holograms, laser or gravure engraving, temperature-dependent dyes, complex spectral distributions of printing inks or printing ink components or the like.
  • the comparison and reference data 12, 37 relate to a currently recorded digital image of the entire personal document 10 with a sufficiently high resolution and stored when the personal document 10 was produced.
  • the verification device 20 checks the personal document 10 for authenticity and plausibility (cf. steps S6 and S7 in FIG Fig. 3 ).
  • it can be any computer-aided device set up accordingly in terms of software and equipped with hardware, for example also a portable verification computer, a modern smartphone with a verification application or the like.
  • the verification device 20 preferably comprises a read-out device 21 that can read graphic or textual information on the personal document 10 or read electronic data from an integrated circuit 17 of the personal document 10 in order to make them available to a control device 22.
  • the reading device 21 is in particular an optical sensor or scanning device, for example a digital camera, with which personal / material data 13, 14, a unique identifier in the form of a barcode 11 or comparison data 12 (CMP) can be read from the personal document 10.
  • an electronic personal document 10 can also be checked (cf. Fig. 2 ), for which the verification device 20 comprises as read-out device 21 a suitable reading device for reading out the relevant data 11, 12, 13, 14, 15 from the integrated circuit 17, for example contact-based or contactless access mechanisms according to the relevant communication protocols.
  • the verification device 20 also includes a display device 23, e.g. an LCD display or the display of a portable computer or smartphone, on which e.g. plausibility data 33, 34 or factual / personal data 35, 36 can be displayed.
  • a display device 23 e.g. an LCD display or the display of a portable computer or smartphone, on which e.g. plausibility data 33, 34 or factual / personal data 35, 36 can be displayed.
  • the verification device 20 is connected to a verification server via a suitable data communication infrastructure, for example the Internet 40 30, which is equipped with a control device 31 and in turn is in turn connected to various, as a rule, independent databases 32.
  • the databases 32 can be operated, for example, by various organizations, authorities or companies and also manage personal / factual data 33, 34, 35, 36 relating to the person or the personal document 10 for any purposes, which the personal / material data specified on the personal document 10 Add to or go beyond factual data 12, 13, 14, 15.
  • the databases 32 can be operated, for example, by various motor vehicle registration authorities, or by information service providers, such as information files for economic or personal data.
  • personal / factual data 33, 34, 35, 36 on the person are stored in databases 32, distributed across various databases 32.
  • These personal / factual data 33, 34, 35, 36 can be selected as plausibility data 33, 34 for the plausibility check or are available as additional personal / factual data 35, 36, which can be obtained from the personal / factual data 13, 14.15 and complement them.
  • the latter are not used for the plausibility check, but can provide an operator of the verification device 20, e.g. as part of a vehicle inspection, with further information, e.g. about a vehicle owner and his vehicle.
  • the personal / factual data 33, 34, 35, 36 present in the database network 30, 32 can relate, for example, to digital images 33 of the person or of objects or locations that are recorded for other purposes by authorities or organizations in connection with the person and in a Database 32 were stored.
  • the personal / factual data 33, 34, 35, 36 can also relate to any other official or other documents, texts or information that are suitable for checking the plausibility of the personal document 10, for example also certifications or translations of personal documents into other languages.
  • FIG. 3 outlines the sequence of a verification of the personal document 10 by the verification device 20 or the verification system 20, 30, 32 according to FIG Fig. 1 .
  • Steps S1 to S10 can also be carried out in a different order, insofar as the content is possible and sensible.
  • a first step S1 when a person presents a personal document 10 to be verified, for example an electronic vehicle registration document or the like, the uniquely identifying barcode 11 is first read out (READ CODE) by means of a barcode reader of the verification device 20 and forwarded to the control device 22.
  • the barcode reader can be a conventional or infrared camera 21, supplemented by barcode evaluation software in the control device 22.
  • step S2 which can also be integrated in step S1
  • the verification device 20 reads the comparison data 12 with the camera 21 (READ CMP).
  • the comparison data 12 is, for example, a digital image of the personal document 10 or its surface.
  • the actual comparison data 12 can also be extracted by the control device 22 from an image of the entire personal document 10 if the comparison data 12 only relate to a section of the personal document 10 or an authenticity feature located thereon.
  • the control device 22 sends a request for the reference data 37 to the verification server 30 and for this purpose transfers the barcode 11 as a search criterion (GET REF).
  • the verification server 30 or its control device 31 then carries out a search in the connected databases 32 based on the barcode 11 and in this way determines the reference data 37 associated with the barcode 11 in a database 32 which, for example, is provided by the manufacturer of the personal document 10 for whose authenticity check is provided.
  • a request for plausibility data 33, 34 (P1, P2) is directed to verification server 30 (GET P-DATA) in step S4.
  • the verification device 20 again transfers a suitable search criterion to the server device 30, for example the barcode 11 or the previously determined reference data 37 Verification server 30 are passed.
  • the verification server 30 decides which of the personal / factual data 33, 34, 35, 36 ascertained in the connected databases 32 are finally forwarded to the verification device 20 as plausibility data 33, 34 , 34, 35, 36 can be of a confidential or personal nature and are not readily forwarded to the verification device 20 may be. For this purpose, it is checked in step S5 whether there is any authorization to issue the plausibility data 33, 34 (P-DATA AUTHORIZED?).
  • this authorization consists in the verification device 20 demonstrating to the verification server 30 by means of an authorization signal its authorization to receive and use confidential plausibility data 33, 34.
  • the verification device 20 can have such an authorization, for example, because it belongs to a certain security class due to structural or organizational circumstances or is used by an authority which already has access to the relevant data.
  • the verification server 30 forwards the plausibility data 33, 34 to the verification device 20 only upon explicit approval by the person.
  • a corresponding release signal is queried from the person via the verification device 20, e.g. by showing a release request on the display 23 and manual confirmation by the person.
  • the release could also take place via direct contact between the verification server 30 and the person, for example by telephone or by means of electronic data communication.
  • the plausibility check takes place in step S7, partly by displaying the plausibility data 33 on the display 23 of the verification device 20 and partly by means of an automated logical derivation in the control device 22 (CHECK PLAUSIBILITY).
  • the plausibility data 33 relate to a digital image (P1) of the person, as is present in a database 32 which manages identification documents.
  • plausibility data 33 are present several times in one or different databases 32, such as a passport photo 33 of the person, the most recent plausibility data 33 are selected.
  • the current digital image 33 of the person is displayed on the display 23, where an operator of the verification device 20 can compare this with the actual appearance of the person.
  • the plausibility check can be carried out completely or partially automatically by the control device 22. It is determined here whether plausibility data 34 in the form of textual and automatically evaluable personal / factual data can be logically assigned to the personal document 10 or to the person concerned. For this purpose, it is checked whether a link between the plausibility data 34 and the personal / factual data 13, 14, 15 (D1, D2, D3) to be taken from the personal document 10, possibly supplemented by additional personal / factual data 35, 36 ( D4, D5) from the database network 32 (P2 ⁇ D1-D5).
  • the authenticity check can be successful in step S6; However, the plausibility check in step S7 can give rise to doubts about the personal document 10 or the person due to an ascertained data inconsistency or content contradictions. If the authenticity and plausibility check have been successful, the personal document 10 is considered verified.
  • the further personal / factual data 35, 36 (D4, D5), which go beyond the personal / factual data 13, 14, 1514 (D1, D2, D3) to be taken from the personal document 10, are requested from the verification server 30 in step S8 (GET D-DATA) and in addition to the plausibility check by the operator of the verification device 20 in step S10 on the display 23 (DISPLAY D-DATA).
  • step S9 it is checked whether this is authorized (D-DATA AUTHORIZED?), For example by checking a Authorization of the verification device 20 or a release by the person.
  • the further personal / factual data 35, 36 can also simply be available to the operator (or the person himself) as additional information, e.g. to determine the ownership of the vehicle in question when buying a car or checking a driver's license.
  • the person can also be offered value-added services based on the data 35, 36, for example information about technical properties of a vehicle from a vehicle manufacturer or the like.
  • the further personal / factual data 35, 36 can also be automatically inserted into an application form which the person receives by presenting the personal document 10 or wants to submit to an authority.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Storage Device Security (AREA)
EP12784206.0A 2011-11-02 2012-10-15 Dokumentenprüfung Active EP2774125B1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102011117467A DE102011117467A1 (de) 2011-11-02 2011-11-02 Dokumentenprüfung
PCT/EP2012/004296 WO2013064210A1 (de) 2011-11-02 2012-10-15 Dokumentenprüfung

Publications (2)

Publication Number Publication Date
EP2774125A1 EP2774125A1 (de) 2014-09-10
EP2774125B1 true EP2774125B1 (de) 2021-05-19

Family

ID=47172583

Family Applications (1)

Application Number Title Priority Date Filing Date
EP12784206.0A Active EP2774125B1 (de) 2011-11-02 2012-10-15 Dokumentenprüfung

Country Status (3)

Country Link
EP (1) EP2774125B1 (no)
DE (1) DE102011117467A1 (no)
WO (1) WO2013064210A1 (no)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3175385A4 (en) 2014-07-29 2018-01-03 Hewlett-Packard Development Company, L.P. Transmit an authentication mark
DE102017001879A1 (de) 2017-02-27 2018-08-30 Giesecke+Devrient Mobile Security Gmbh Verfahren zur Verifizierung der Identität eines Nutzers
CN107358686A (zh) * 2017-06-21 2017-11-17 西安科技大学 一种矿山运输安全管理系统

Family Cites Families (8)

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Publication number Priority date Publication date Assignee Title
US5321751A (en) * 1993-02-18 1994-06-14 Eastman Kodak Company Method and apparatus for credit card verification
US6040783A (en) * 1995-05-08 2000-03-21 Image Data, Llc System and method for remote, wireless positive identity verification
DE10063489A1 (de) * 2000-12-20 2002-06-27 Giesecke & Devrient Gmbh Verfahren zur Überprüfung von Ausweisen
EP1551644A4 (en) * 2002-10-15 2008-01-02 Digimarc Corp IDENTIFICATION DOCUMENT AND RELATED METHODS
US20050063027A1 (en) * 2003-07-17 2005-03-24 Durst Robert T. Uniquely linking security elements in identification documents
DE102004056007A1 (de) * 2004-11-19 2006-05-24 Bundesdruckerei Gmbh Mobile Verifikationseinrichtung zur Echtheitsüberprüfung von Reisedokumenten
DE102005038092A1 (de) * 2005-08-11 2007-02-15 Giesecke & Devrient Gmbh Verfahren und Einrichtung zur Prüfung eines elektronischen Passes
RS51531B (en) * 2009-05-29 2011-06-30 Vlatacom D.O.O. MANUAL PORTABLE DEVICE FOR VERIFICATION OF PASSENGERS AND PERSONAL DOCUMENTS, READING BIOMETRIC DATA

Non-Patent Citations (1)

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Title
None *

Also Published As

Publication number Publication date
WO2013064210A1 (de) 2013-05-10
EP2774125A1 (de) 2014-09-10
DE102011117467A1 (de) 2013-05-02

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