EP1673713A1 - Contactless biometric recognition - Google Patents

Contactless biometric recognition

Info

Publication number
EP1673713A1
EP1673713A1 EP03818946A EP03818946A EP1673713A1 EP 1673713 A1 EP1673713 A1 EP 1673713A1 EP 03818946 A EP03818946 A EP 03818946A EP 03818946 A EP03818946 A EP 03818946A EP 1673713 A1 EP1673713 A1 EP 1673713A1
Authority
EP
European Patent Office
Prior art keywords
posture
body part
monitoring
finger
recognized
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.)
Withdrawn
Application number
EP03818946A
Other languages
German (de)
French (fr)
Inventor
Rudolf Hauke
Peter-Michael Merbach
Peter Maschotta
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.)
TBS Holding AG
Original Assignee
TBS Holding AG
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 TBS Holding AG filed Critical TBS Holding AG
Publication of EP1673713A1 publication Critical patent/EP1673713A1/en
Withdrawn legal-status Critical Current

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/117Identification of persons
    • A61B5/1171Identification of persons based on the shapes or appearances of their bodies or parts thereof
    • A61B5/1172Identification of persons based on the shapes or appearances of their bodies or parts thereof using fingerprinting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1312Sensors therefor direct reading, e.g. contactless acquisition

Definitions

  • the invention relates to a method for the contactless detection of biometric features of body parts, in particular finger lines, with optical image acquisition from different perspectives by several
  • Image recording devices with monitoring and / or control of the position and / or posture of the body part to be recognized and / or correction of the images of the recording devices with regard to position and / or posture, the external shape of the body part being used for this purpose.
  • Security systems are used in a variety of applications to prevent unauthorized persons from accessing certain areas. Such areas are, for example, ATMs, laboratory rooms to be kept secret and the like. These systems mainly use facilities for fingerprint and face recognition.
  • DE 101 23 561 AI describes a method for personal identification using the biometric features of the fingertip, the outer
  • Shape of the fingertip in the three spatial dimensions as well as that on the Structures of the fingerprint included on the underside of the finger, including their spatial position and orientation on the fingertip, can be detected as person-specific parameters by using recordings from different perspectives by one or more cameras to create a three-dimensional profile of the fingertip and its
  • the position and rotation of the finger can be determined with an additional camera in front of the fingertip in order to request the user to correct the position or to improve the recognition analysis by the additional information about the degree of rotation of the finger.
  • the invention is based on the object of specifying methods of the type mentioned at the beginning with which improved contactless biometric recognition is possible at low cost.
  • the advantage of the method according to the invention is that only the lowest possible number of image recording devices requires recording from different directions, which fulfill a double function and are therefore better utilized. Improved recognition is possible through the use of the finger image or model over several members.
  • Figure 1 is a schematic representation of an arrangement for use with the inventive method.
  • the two CCD cameras 2.1 and 2.2 are at an angle of 90 ° to one another and lie in the planes of a coordinate system x-y-z separated by the angles 0 and ⁇ , while they take pictures of the object 1.
  • both cameras take repeated recordings until both cameras have determined a finger position that is acceptable for the other camera. This condition can be required for both cameras at the same time or one after the other.
  • the acceptances can either be checked in pairs or for a certain camera by a group or all of the other cameras.
  • Two-dimensional images from certain perspectives or three-dimensional models from the measured data can be used as a reference and as a representation of the measured data.
  • a computational transformation of the images onto a finger into "normal posture” is possible from the posture (that is, position, curvature and degree of rotation) of the finger, that is to say, for example, in a stretched posture without twisting, which is preferably also present in the reference images and models ,
  • the features of the finger limbs and the fingernail ie thickness, width, length, are preferably used to form the models.
  • the degree of rotation of the finger can be calculated very easily from the nail area visible in the photographs.
  • the acceptance range of the recognition is significantly increased by the transformation into a "normal attitude", whereby the process is carried out much faster.
  • feedback can also be given as soon as the recognition has been successful in order to inform the user of the end of the process.

Abstract

The invention relates to a method for the contactless recognition of biometric characteristics of body parts, especially finger lines, using an optical image receiver, from different perspectives by means of several image-capturing devices, by monitoring and/or controlling the position and/or posture of the body part which is to be recognised and/or correcting the image of the capturing devices in relation to the position and/or posture, whereby the outer shape of the body part is used therefor.

Description

Berührungslose biometrische Erkennung Non-contact biometric detection
Die Erfindung betrifft ein Verfahren zur berührungslosen Erkennung biometrischer Merkmale von Körperteilen, insbesondere von Fingerlinien, mit optischer Bilderaufnahme aus unterschiedlichen Perspektiven durch mehrereThe invention relates to a method for the contactless detection of biometric features of body parts, in particular finger lines, with optical image acquisition from different perspectives by several
Bildaufnahmeeinrichtungen mit Überwachung und/oder Kontrolle der Position und/oder Haltung des zu erkennenden Körperteils und/oder Korrektur der Bilder der Aufnahmeeinrichtungen bezüglich Position und/oder Haltung, wobei dazu die äußere Form des Körperteils genutzt wird.Image recording devices with monitoring and / or control of the position and / or posture of the body part to be recognized and / or correction of the images of the recording devices with regard to position and / or posture, the external shape of the body part being used for this purpose.
In vielfältigen Anwendungen werden Sicherheitssysteme angewendet, um unbefugten Personen den Zugang zu bestimmten Bereichen zu verwehren. Solche Bereiche sind beispielsweise Geldautomaten, geheim zu haltende Laborräumlichkeiten und dergleichen. Diese Systeme verwenden hauptsächlich Einrichtungen zur Fingerabdruck- und Gesichtserkennung.Security systems are used in a variety of applications to prevent unauthorized persons from accessing certain areas. Such areas are, for example, ATMs, laboratory rooms to be kept secret and the like. These systems mainly use facilities for fingerprint and face recognition.
Es werden umfangreiche Versuche unternommen, diese Systeme zu überwinden. Zur Erhöhung der Sicherheit werden zusätzliche Mittel eingesetzt, mit denen überprüft wird, ob es sich um ein echtes Körperteil handelt.Extensive attempts are being made to overcome these systems. To increase safety, additional means are used to check whether it is a real part of the body.
In DE 101 23 561 AI ist ein Verfahren zur Personenidentifikation mit Hilfe der biometrischen Merkmale der Fingerkuppe beschrieben, wobei die äußereDE 101 23 561 AI describes a method for personal identification using the biometric features of the fingertip, the outer
Form der Fingerkuppe in den drei Raumdimensionen als auch die auf der Fingerunterseite enthaltenen Strukturen des Fingerabdrucks einschließlich ihrer räumlichen Position und Ausrichtung auf der Fingerkuppe als personenspezifische Kenngrößen detektiert werden, indem Aufnahmen aus verschiedenen Perspektiven durch ein oder mehrere Kameras genutzt werden, um ein dreidimensionales Profil der Fingerkuppe und ihrerShape of the fingertip in the three spatial dimensions as well as that on the Structures of the fingerprint included on the underside of the finger, including their spatial position and orientation on the fingertip, can be detected as person-specific parameters by using recordings from different perspectives by one or more cameras to create a three-dimensional profile of the fingertip and its
Papillarlinienstruktur zu erstellen. Dabei kann mit einer zusätzlichen Kamera vor der Fingerspitze die Position und Rotation des Fingers festgestellt werden, um den Benutzer zur Korrektur der Position aufzufordern oder die Erkennungsanalyse durch die zusätzliche Information des Rotationsgrades des Fingers zu verbessern.To create papillary line structure. The position and rotation of the finger can be determined with an additional camera in front of the fingertip in order to request the user to correct the position or to improve the recognition analysis by the additional information about the degree of rotation of the finger.
An diesem Verfahren ist der Bedarf einer zusätzlichen Kamera zur Lageüberwachung nachteilig, da die Bildaumahmeeinrichtungen die teuersten Teile einer optischen Erkennungsvorrichtung sind.With this method, the need for an additional camera for position monitoring is disadvantageous, since the image acquisition devices are the most expensive parts of an optical recognition device.
Der Erfindung liegt die Aufgabe zugrunde, Verfahren der eingangs genannten Art anzugeben, mit dem kostengünstig eine verbesserte berührungslose biometrische Erkennung möglich ist.The invention is based on the object of specifying methods of the type mentioned at the beginning with which improved contactless biometric recognition is possible at low cost.
Erfindungsgemäß wird die Aufgabe mit einem Verfahren, welche die in Anspruch 1 angegebenen Merkmale enthält, gelöst.According to the invention, the object is achieved with a method which contains the features specified in claim 1.
Vorteilhafte Ausgestaltungen sind in den Unteransprüchen angegeben.Advantageous refinements are specified in the subclaims.
Der Vorteil des erfindungsgemäßen Verfahrens ist, dass nur eine geringstmögliche Anzahl von Bildaufnahmeeinrichtungen Aufnahme aus verschiedenen Richtungen benötigt, die dabei eine doppelte Funktion erfüllen und somit besser ausgenutzt werden. Durch die Verwendung des Fingerabbilds beziehungsweise -modells über mehrere Glieder hinweg ist eine verbesserte Erkennung möglich.The advantage of the method according to the invention is that only the lowest possible number of image recording devices requires recording from different directions, which fulfill a double function and are therefore better utilized. Improved recognition is possible through the use of the finger image or model over several members.
Durch die Vermessung der jeweils abgebildeten Nagelfläche ist eine einfache und schnelle Messung des Rotationsgrades des Fingers möglich.By measuring the nail area shown in each case, a simple and quick measurement of the degree of rotation of the finger is possible.
Die Erfindung wird im Folgenden anhand von Ausführungsbeispielen näher erläutert.The invention is explained in more detail below on the basis of exemplary embodiments.
Dazu zeigt:This shows:
Figur 1 eine schematische Darstellung einer Anordnung zum Einsatz mit dem erfindungsgemäßen Verfahren.Figure 1 is a schematic representation of an arrangement for use with the inventive method.
In Figur 1 nehmen die beiden CCD-Kameras 2.1 und 2.2 zueinander einen Winkel von 90° und liegen in den durch die Winkel 0 und φ getrennten Ebenen eines Koordinatensystems x-y-z, während sie Bilder des Objekts 1 aufnehmen.In FIG. 1, the two CCD cameras 2.1 and 2.2 are at an angle of 90 ° to one another and lie in the planes of a coordinate system x-y-z separated by the angles 0 and φ, while they take pictures of the object 1.
Beide Kameras machen bei einem Erkennungs versuch so lange wiederholte Aufnahmen, bis beide Kameras jeweils eine für die jeweils andere Kamera akzeptable Fingerposition festgestellt haben. Diese Bedingung kann entweder für beide Kameras gleichzeitig oder zeitlich nacheinander gefordert werden.In the event of a recognition attempt, both cameras take repeated recordings until both cameras have determined a finger position that is acceptable for the other camera. This condition can be required for both cameras at the same time or one after the other.
Dasselbe gilt auch für Anordnungen mit mehr als zwei Kameras. Dann können entweder paarweise die Akzeptanzen überprüft werden oder für eine bestimmte Kamera durch eine Gruppe oder alle der jeweils anderen Kameras. Als Referenz und als Repräsentation der Messdaten können zweidimensionale Abbildungen aus bestimmten Perspektiven oder dreidimensionale Modelle aus den Messdaten genutzt werden.The same applies to arrangements with more than two cameras. Then the acceptances can either be checked in pairs or for a certain camera by a group or all of the other cameras. Two-dimensional images from certain perspectives or three-dimensional models from the measured data can be used as a reference and as a representation of the measured data.
Aus der aus den Aufnahmen entnehmbaren Haltung (also Position, Krümmung und Rotationsgrad) des Fingers ist eine rechnerische Transformation der Abbildungen auf einen Finger in „Normalhaltung" möglich, also beispielsweise in gestreckter Haltung ohne Verdrehung, die vorzugsweise auch in den Referenzabbildungen und -modellen vorliegt.A computational transformation of the images onto a finger into "normal posture" is possible from the posture (that is, position, curvature and degree of rotation) of the finger, that is to say, for example, in a stretched posture without twisting, which is preferably also present in the reference images and models ,
Dabei werden vorzugsweise außer den Fingerlinien auch die Merkmale der Fingerglieder und des Fingernagels, also Dicke, Breite, Länge, zur Bildung der Modelle herangezogen.In addition to the finger lines, the features of the finger limbs and the fingernail, ie thickness, width, length, are preferably used to form the models.
Der Rotationsgrad des Fingers kann aus der in den Aufnahmen jeweils sichtbaren Nagelfläche sehr einfach errechnet werden.The degree of rotation of the finger can be calculated very easily from the nail area visible in the photographs.
Durch die Transformation in eine „Normalhaltung" wird der Akzeptanzbereich der Erkennung deutlich vergrößert, wodurch der Vorgang wesentlich schneller durchgeführt wird.The acceptance range of the recognition is significantly increased by the transformation into a "normal attitude", whereby the process is carried out much faster.
Andererseits kann, solange eine zu große Abweichung der Position und/oder Haltung für eine sichere Erkennung besteht, eine Rückmeldung an den Benutzer erfolgen, wobei die Art und Richtung der nötigen Positions- oder Haltungsänderung angesagt oder angezeigt werden kann.On the other hand, as long as there is too great a deviation in the position and / or posture for reliable detection, feedback to the user can take place, the type and direction of the necessary change in position or posture being announced or displayed.
Alternativ oder zusätzlich kann auch eine Rückmeldung erfolgen, sobald die Erkennung erfolgreich verlaufen ist, um den Benutzer über das Ende des Vorganges zu informieren. BEZUGSZEICHENLISTEAlternatively or additionally, feedback can also be given as soon as the recognition has been successful in order to inform the user of the end of the process. LIST OF REFERENCE NUMBERS
1 Objekt (Finger)1 object (finger)
2 Lichtdetektoren 2.1 erster Lichtdetektor in Ebene xy 2.2 zweiter Lichtdetektor in Ebene zy2 light detectors 2.1 first light detector in level xy 2.2 second light detector in level zy
φ, θ Winkel der Koordinatensystems φ, θ Angle of the coordinate system

Claims

PATENTANSPRÜCHE
1. Verfahren zur berührungslosen Erkennung biometrischer Merkmale von Körperteilen, insbesondere von Fingerlinien, mit optischer Bilderaufnahme aus unterschiedlichen Perspektiven durch mehrere Bildaufnahmeeinrichtungen mit Überwachung und/oder Kontrolle der Position und/oder Haltung des zu erkennenden Körperteils und/oder Korrektur der Bilder der Aufhahme- einrichtungen bezüglich Position und/oder Haltung, wobei dazu die äußere Form des Körperteils genutzt wird, dadurch gekennzeichnet, dass1. Method for the contactless detection of biometric features of body parts, in particular finger lines, with optical image recording from different perspectives by several image recording devices with monitoring and / or control of the position and / or posture of the body part to be recognized and / or correction of the images of the recording devices with regard to position and / or posture, the outer shape of the body part being used for this purpose, characterized in that
Überwachung, Kontrolle und/oder Korrektur mit den Aufiiahmeeinrichtungen jeweils untereinander gegenseitig durchgeführt werden und dabei Position, Haltung und Rotationswinkel bestimmt werden.Monitoring, control and / or correction can be carried out mutually with each other and the position, posture and angle of rotation can be determined.
2. Verfahren nach Anspruch 1, dadurch gekennzeichnet, dass ein räumliches, dreidimensionales Profil des zu erkennenden Körperteiles und seiner Oberfläche erstellt wird.2. The method according to claim 1, characterized in that a spatial, three-dimensional profile of the body part to be recognized and its surface is created.
3. Verfahren nach Anspruch 1 oder 2, dadurch gekennzeichnet, dass die Bildschärfe als Kriterium für das Erreichen der Solllage genutzt wird.3. The method according to claim 1 or 2, characterized in that the image sharpness is used as a criterion for reaching the desired position.
4. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass mit den Messwerten der Lage und Haltung eine Transformation der Merkmale des zu erkennenden Körperteils auf eine vorgegebene Normalhaltung und -läge eines Referenzmodells und/oder einer4. The method according to any one of the preceding claims, characterized in that the measured values of the position and posture transform the features of the body part to be recognized to a predetermined normal posture and position of a reference model and / or one
Referenzabbildung verwandt werden.Reference figure can be used.
5. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass eine optische und/oder akustische Rückmeldung an den Benutzer erfolgt, wenn oder solange eine sichere Erkennung auch trotz rechnerischer Transformation nicht möglich ist. 5. The method according to any one of the preceding claims, characterized in that there is an optical and / or acoustic feedback to the user if or as long as a reliable detection is not possible even in spite of arithmetic transformation.
6. Verfahren nach Anspruch 5, . dadurch gekennzeichnet, dass die Rückmeldung unter Angabe der zur sicheren Erkennung nötigen Art und6. The method according to claim 5,. characterized in that the feedback stating the type necessary for reliable detection and
Richtung einer Haltungs- und/oder Lageänderung erfolgt.Direction of a change in posture and / or position.
7. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass bei der Erkennung von Fingerlinien der Finger und seine äußere Form von der Fingerspitze bis mindestens über das nächstliegende Gelenk hinweg abgebildet und verarbeitet werden und dabei auch mindestens ein Gelenk-Knickwinkel zur Überwachung, Kontrolle und/oder Korrektur der Aufnahmen eingesetzt wird.7. The method according to any one of the preceding claims, characterized in that in the detection of finger lines, the finger and its outer shape from the fingertip to at least over the closest joint are mapped and processed, and at least one articulation angle for monitoring, control and / or correction of the recordings is used.
8. Verfahren nach einem der vorhergehenden Ansprüche, dadurch gekennzeichnet, dass bei der Erkennung von Fingerlinien die jeweils aus den verschiedenen Perspektiven sichtbare Nagelfläche als Merkmal zur Bestimmung des Rotationswinkels eingesetzt wird. 8. The method according to any one of the preceding claims, characterized in that when recognizing finger lines, the nail surface which is respectively visible from the different perspectives is used as a feature for determining the angle of rotation.
EP03818946A 2003-10-08 2003-10-08 Contactless biometric recognition Withdrawn EP1673713A1 (en)

Applications Claiming Priority (1)

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PCT/DE2003/003350 WO2005045746A1 (en) 2003-10-08 2003-10-08 Contactless biometric recognition

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EP1673713A1 true EP1673713A1 (en) 2006-06-28

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EP03818946A Withdrawn EP1673713A1 (en) 2003-10-08 2003-10-08 Contactless biometric recognition

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US (1) US20050226474A1 (en)
EP (1) EP1673713A1 (en)
AU (1) AU2003275936A1 (en)
CA (1) CA2487930A1 (en)
DE (1) DE10394343D2 (en)
MX (1) MXPA05004871A (en)
WO (1) WO2005045746A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9773151B2 (en) 2014-02-06 2017-09-26 University Of Massachusetts System and methods for contactless biometrics-based identification

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012048177A1 (en) 2010-10-08 2012-04-12 Advanced Optical Systems, Inc. Contactless fingerprint acquisition and processing
US8953854B2 (en) 2012-08-08 2015-02-10 The Hong Kong Polytechnic University Contactless 3D biometric feature identification system and method thereof
US20140331146A1 (en) * 2013-05-02 2014-11-06 Nokia Corporation User interface apparatus and associated methods
US10146988B2 (en) 2013-06-24 2018-12-04 Blackberry Limited Obtaining a biometric image and handling damaged biometrics
CA2939637A1 (en) 2014-02-12 2015-08-20 Advanced Optical Systems, Inc. On-the-go touchless fingerprint scanner
US9734165B2 (en) * 2014-08-02 2017-08-15 The Hong Kong Polytechnic University Method and device for contactless biometrics identification

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63285676A (en) * 1987-05-18 1988-11-22 Toao Tanaka Contactless collecting device for fingerprint with unification of collecting situation
US5073949A (en) * 1989-03-16 1991-12-17 Kabushiki Kaisha Toshiba Personal verification apparatus
DE19731296A1 (en) * 1997-01-07 1998-07-09 Sung Hwan Kim Personal identification system using fingerprints
DE19818229A1 (en) * 1998-04-24 1999-10-28 Hauke Rudolf Contactless method for hand- and fingerprint recognition
DE10123561A1 (en) * 2001-05-15 2001-10-18 Thales Comm Gmbh Person identification with 3-dimensional finger group analysis involves analyzing fingerprint, fingertip shape from different perspectives to prevent deception using planar images
DE10153808B4 (en) * 2001-11-05 2010-04-15 Tst Biometrics Holding Ag Method for non-contact, optical generation of unrolled fingerprints and apparatus for carrying out the method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See references of WO2005045746A1 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9773151B2 (en) 2014-02-06 2017-09-26 University Of Massachusetts System and methods for contactless biometrics-based identification

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US20050226474A1 (en) 2005-10-13
DE10394343D2 (en) 2006-08-24
WO2005045746A1 (en) 2005-05-19
MXPA05004871A (en) 2005-10-11
AU2003275936A1 (en) 2005-05-26
CA2487930A1 (en) 2005-04-08

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