EP1371011A1 - Verfahren zur benutzerführung eines biometrischen systems mit fingerabdruckeingabe - Google Patents
Verfahren zur benutzerführung eines biometrischen systems mit fingerabdruckeingabeInfo
- Publication number
- EP1371011A1 EP1371011A1 EP02729788A EP02729788A EP1371011A1 EP 1371011 A1 EP1371011 A1 EP 1371011A1 EP 02729788 A EP02729788 A EP 02729788A EP 02729788 A EP02729788 A EP 02729788A EP 1371011 A1 EP1371011 A1 EP 1371011A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- sensor
- user
- fingerprint
- finger
- instructions
- 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.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
- G06V10/993—Evaluation of the quality of the acquired pattern
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/60—Static or dynamic means for assisting the user to position a body part for biometric acquisition
- G06V40/67—Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
Definitions
- the invention relates to a method for user guidance of a biometric system with fingerprint input, in which a user brings at least one finger into contact with / to a fingerprint sensor and the system uses the data supplied by the sensor to extract features for storage and / or Comparing the features.
- fingerprints on an electronic basis has, in addition to the well-known importance in criminalistics, also gained considerable importance in many other areas, for example in credit card and cash dispensing machines, in access control to buildings and rooms, in authorization control in computer systems, telecommunications devices, etc.
- a fingerprint sensor is used to enter a fingerprint into the respective system, which, for example, scans the finger surface, more precisely a fingertip, by means of optical or capacitive sensors or ultrasonic sensors.
- Characteristics important for fingerprint recognition or for comparison are extracted from the information obtained, these being characteristics of the papillary lines of particular importance, namely end points, branches, islands and other singular characteristics, all called minutiae. This is explained in more detail, for example, in WO 98/52149 by the applicant.
- a reference fingerprint which is used for comparison when the respective user enters a fingerprint.
- Systems often have a library of fingerprints from different users or more than one finger from a single user.
- the reference fingerprints can be provided to the system, for example, in electronic form, but there are many systems that are set up so that a user first enters the previously unknown fingerprint and this fingerprint is then stored in the system, of course together with one User names, code, etc. This process is called enrollment, in contrast to the so-called matching, in which, for example, a comparison is made between a currently entered fingerprint and a fingerprint stored in the system for identification.
- Identification with the help of fingerprints offers a high level of security due to the uniqueness of a fingerprint, although it should be noted that this security depends on the type of feature extraction from the fingerprint image. The more accurate this extraction is, the more features are available to increase security. The problem arises that when a fingerprint is recorded with the aid of the sensor, a large number of errors can occur which lead to a qualitatively unsatisfactory recording of the fingerprint and then make it impossible to record a sufficient number of features or to make a sensible comparison.
- the user receives a special incentive to help with the optimization if the instructions contain a representation of the current fingerprint captured by the sensor. It is useful if to display the current of the sensor a target geometry is displayed, such as a target area or target position.
- the invention also has particular advantages if the instructions contain optimizing information relating to a physical correction of the finger surface, such as moistening, drying or cleaning.
- the instructions contain optimizing information regarding the pressing force of the finger against a sensor surface.
- the data supplied to the sensor are fed to an image acquisition and their image data are subjected to a quality assessment, the optimizing instructions being transmitted to the user only if the quality assessment results in a quality measure which is below a predeterminable minimum .
- the quality assessment is carried out on the basis of individual features from which an overall quality measure is derived. In this case, an evaluated individual feature, for example the structure of the fingerprint lines, the covered sensor area, the uniformity of the gray distribution or the percentage of defective sensor pixels can be.
- the task is also solved with a biometric system for performing the method according to the features specified above.
- FIG. 1 shows a schematic representation of the sequence of the method according to the invention in a biometric system
- FIG. 2 shows a possible screen illustration sketched in FIG. 1 with instructions for a user on a larger scale
- FIG. 3 shows a further screen representation from FIG. 1, enlarged.
- a biometric system for example one that controls the access authorization to a computer network, has a fingerprint input FAE, as used, for. B. in Connection with a computer mouse in WO 00/38096 and WO 00/38105 of the applicant is disclosed.
- This fingerprint input FAE contains a fingerprint sensor FAS, the z. B. is formed as a semiconductor chip and based on electro-optical or capacitive methods scans the surface of a fingertip, which is placed on a support surface for this purpose, which can be integrated with the fingerprint sensor.
- the data supplied by the FAS sensor is sent to an BQB image quality evaluation via an electronic BEF image acquisition.
- Various features of the recorded fingerprint are recorded here, in particular the structure of the fingerprint lines, the sensor area covered by the finger, the uniformity of the gray distribution, the percentage of any defective sensor pixels, etc.
- an overall image quality measure is derived from the different weighting of the individual quality features. If this dimension reaches a predefinable target dimension, the usual image processing takes place with feature extraction and then either an enrollment, a verification or an identification in the usual way.
- a feedback logic is activated which aims to optimize the information supplied by the sensor FAS.
- a knowledge base is used, in which, for. B. the properties and problems when recording with the sensor used are stored. This includes the type d. H. the principle of operation of the sensor, the dimensions of the sensor surface etc.
- the knowledge base for a capacitive sensor contains the information that moist or wet skin leads to images that are too dark, but very dry skin leads to bright images.
- a screen display is shown with an already recorded fingerprint.
- the outline and relative position of the second image in relation to the first are shown symbolically as a grid provides.
- Green color means an optimal compromise from the system's perspective between the reliability of the relative location estimate and the area enlargement achieved.
- Yellow color indicates that only a little potential for improvement is possible by entering the second image, for example when the second image is completely contained in the first. Red color indicates that even the spatial assignment of the pictures is doubtful and therefore no improvement is to be expected
- instructions can optionally also be output via a printer PRI or additionally or in simple cases also alone via a dot matrix PMA.
- this dot matrix can consist, for example, of four light-emitting diodes which indicate to the user a directional correction with regard to the resting of the finger on the sensor. In the present case, the user should slide his finger in the direction of the flashing arrow in order to improve the image quality.
- the dot matrix display can inform the user of the increase or decrease in quality by changing the display color, for example by changing from green to red or vice versa.
- FIG. 2 shows a possible display structure with instructions for an enroument.
- the sensor area is shown in the large field on the left ("Finger Data"), and the actually recorded area of a finger is faded in. The user can thus see here that his finger surface is clearly not being detected at the moment.
- Finger Data the large field on the left
- Below this field are three fields which, in the example considered, show how many of three fingerprints required for an enroUment have already been taken and processed. In the present case, it is indicated that a fingerprint has already been processed, but two further (empty) fields are required.
- a possible display is to be illustrated, which indicates which of the fingers of one hand should be assigned next to the fingerprint entry.
- the index finger of the right hand has already been registered, which is shown by the darkened round field, whereas the middle finger of the right hand is to be fed as the next finger, which is shown here by an arrow.
- a pictorial instruction with text is shown, according to which the pressing force of the finger against the contact surface of the sensor FAS is to be increased. 2 of course require a monitor, but this is present anyway in connection with PC solutions.
- the user is given instructions regarding the quality (fingerprint quality) and the actual contact surface (fingerprint area) on a monitor image in connection with a matching, which is indicated by rising or falling bars which in practice have different colors display, is done.
- the user receives a pictorial representation of the captured fingerprint compared to the entire sensor area.
- a font is shown (IMPRESSION TOO SMALL), which indicates that the total print area is too small.
- the user will therefore try to increase this area by correspondingly moving or pressing on his finger, etc., which also increases the bar on the right (fingerprint area) and enables a successful comparison.
- the feedback and the image quality evaluation are therefore in a mutual relationship or a causal connection.
- the image quality assessment eliminates lower quality fingerprints that do not appear to be suitable for further processing and / or feature extraction, and the feedback analyzes the cause of the image rejection and then clarifies the system view to the user.
- a precise diagnosis in connection with previous knowledge (knowledge base) about possible causes of problems enables the formulation of concrete solution proposals, in particular via a visualization, which of course has to be adapted to the circumstances and the technical possibilities of the system used.
- One essence of the invention is evidently that it can lead the user to a certain behavior when using a biometric system. Any problems are presented to the user in a transparent and generally understandable manner, so that, assuming the user's cooperative behavior, interaction with the system increases the recognition performance and, for example, access control can be made much more convenient.
- the invention also takes into account a recurring unexpected or undesirable behavior of a user, as well as the fact that the skin condition in combination with the measuring principle used in each case is a limiting factor.
- the optimal visual representation on a monitor can be dispensed with and messages can be output via simple LCD displays or in printed form, some of which are given for illustration:
- the invention is particularly advantageous for the EnroUment, which generally represents the user's first contact with the system and subsequently decisively determines recognition, since it enables suitable user guidance.
- the color coding of the grid lines in the sense of the usual traffic light colors can be used, for example Probability of success for a merger can be expressed. Thanks to the invention, relatively complex facts can be made transparent for the user and reduced to the comparatively simple task of maximizing the chances of success by varying the sensor / finger interaction.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Image Input (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
Claims
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AT4532001 | 2001-03-21 | ||
| AT4532001 | 2001-03-21 | ||
| PCT/DE2002/000898 WO2002077907A1 (de) | 2001-03-21 | 2002-03-13 | Verfahren zur benutzerführung eines biometrischen systems mit fingerabdruckeingabe |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP1371011A1 true EP1371011A1 (de) | 2003-12-17 |
Family
ID=3674439
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP02729788A Ceased EP1371011A1 (de) | 2001-03-21 | 2002-03-13 | Verfahren zur benutzerführung eines biometrischen systems mit fingerabdruckeingabe |
Country Status (2)
| Country | Link |
|---|---|
| EP (1) | EP1371011A1 (de) |
| WO (1) | WO2002077907A1 (de) |
Families Citing this family (50)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE60114241T2 (de) | 2000-12-05 | 2006-07-13 | Validity Sensors Inc., Phoenix | System und methode zur kapazitiven aufnahme von fingerabdrücken durch überstreichen |
| JP4207717B2 (ja) * | 2003-08-26 | 2009-01-14 | 株式会社日立製作所 | 個人認証装置 |
| US8229184B2 (en) | 2004-04-16 | 2012-07-24 | Validity Sensors, Inc. | Method and algorithm for accurate finger motion tracking |
| EP1754180A1 (de) | 2004-04-16 | 2007-02-21 | Validity Sensors Inc. | Fingerpositions-erfassungsverfahren und -vorrichtungen |
| US8165355B2 (en) | 2006-09-11 | 2012-04-24 | Validity Sensors, Inc. | Method and apparatus for fingerprint motion tracking using an in-line array for use in navigation applications |
| US8175345B2 (en) | 2004-04-16 | 2012-05-08 | Validity Sensors, Inc. | Unitized ergonomic two-dimensional fingerprint motion tracking device and method |
| US8077935B2 (en) | 2004-04-23 | 2011-12-13 | Validity Sensors, Inc. | Methods and apparatus for acquiring a swiped fingerprint image |
| US8358815B2 (en) | 2004-04-16 | 2013-01-22 | Validity Sensors, Inc. | Method and apparatus for two-dimensional finger motion tracking and control |
| US8447077B2 (en) | 2006-09-11 | 2013-05-21 | Validity Sensors, Inc. | Method and apparatus for fingerprint motion tracking using an in-line array |
| US8131026B2 (en) | 2004-04-16 | 2012-03-06 | Validity Sensors, Inc. | Method and apparatus for fingerprint image reconstruction |
| WO2006041780A1 (en) | 2004-10-04 | 2006-04-20 | Validity Sensors, Inc. | Fingerprint sensing assemblies comprising a substrate |
| FR2880157B1 (fr) | 2004-12-28 | 2007-04-06 | Sagem | Dispositif optique de capture biometrique avec affichage d'information a destination de l'utilisateur |
| EP1715443B1 (de) * | 2005-04-22 | 2012-12-05 | Hitachi-Omron Terminal Solutions, Corp. | Biometrische Authentifizierungsvorrichtung |
| US7460697B2 (en) | 2005-07-19 | 2008-12-02 | Validity Sensors, Inc. | Electronic fingerprint sensor with differential noise cancellation |
| JP4786483B2 (ja) * | 2006-09-14 | 2011-10-05 | 富士通株式会社 | 生体認証装置の生体誘導制御方法及び生体認証装置 |
| US8107212B2 (en) | 2007-04-30 | 2012-01-31 | Validity Sensors, Inc. | Apparatus and method for protecting fingerprint sensing circuitry from electrostatic discharge |
| US8290150B2 (en) | 2007-05-11 | 2012-10-16 | Validity Sensors, Inc. | Method and system for electronically securing an electronic device using physically unclonable functions |
| US8204281B2 (en) | 2007-12-14 | 2012-06-19 | Validity Sensors, Inc. | System and method to remove artifacts from fingerprint sensor scans |
| US8276816B2 (en) | 2007-12-14 | 2012-10-02 | Validity Sensors, Inc. | Smart card system with ergonomic fingerprint sensor and method of using |
| US8116540B2 (en) | 2008-04-04 | 2012-02-14 | Validity Sensors, Inc. | Apparatus and method for reducing noise in fingerprint sensing circuits |
| US8005276B2 (en) | 2008-04-04 | 2011-08-23 | Validity Sensors, Inc. | Apparatus and method for reducing parasitic capacitive coupling and noise in fingerprint sensing circuits |
| GB2474999B (en) | 2008-07-22 | 2013-02-20 | Validity Sensors Inc | System and method for securing a device component |
| JP5277804B2 (ja) | 2008-09-05 | 2013-08-28 | 富士通株式会社 | 指紋認証装置、指紋認証プログラムおよび指紋認証方法 |
| US8391568B2 (en) | 2008-11-10 | 2013-03-05 | Validity Sensors, Inc. | System and method for improved scanning of fingerprint edges |
| US8600122B2 (en) | 2009-01-15 | 2013-12-03 | Validity Sensors, Inc. | Apparatus and method for culling substantially redundant data in fingerprint sensing circuits |
| US8278946B2 (en) | 2009-01-15 | 2012-10-02 | Validity Sensors, Inc. | Apparatus and method for detecting finger activity on a fingerprint sensor |
| US8374407B2 (en) | 2009-01-28 | 2013-02-12 | Validity Sensors, Inc. | Live finger detection |
| US9400911B2 (en) | 2009-10-30 | 2016-07-26 | Synaptics Incorporated | Fingerprint sensor and integratable electronic display |
| US9274553B2 (en) | 2009-10-30 | 2016-03-01 | Synaptics Incorporated | Fingerprint sensor and integratable electronic display |
| US9336428B2 (en) | 2009-10-30 | 2016-05-10 | Synaptics Incorporated | Integrated fingerprint sensor and display |
| US8421890B2 (en) | 2010-01-15 | 2013-04-16 | Picofield Technologies, Inc. | Electronic imager using an impedance sensor grid array and method of making |
| US8866347B2 (en) | 2010-01-15 | 2014-10-21 | Idex Asa | Biometric image sensing |
| US9666635B2 (en) | 2010-02-19 | 2017-05-30 | Synaptics Incorporated | Fingerprint sensing circuit |
| US8716613B2 (en) | 2010-03-02 | 2014-05-06 | Synaptics Incoporated | Apparatus and method for electrostatic discharge protection |
| US9001040B2 (en) | 2010-06-02 | 2015-04-07 | Synaptics Incorporated | Integrated fingerprint sensor and navigation device |
| US8331096B2 (en) | 2010-08-20 | 2012-12-11 | Validity Sensors, Inc. | Fingerprint acquisition expansion card apparatus |
| US8594393B2 (en) | 2011-01-26 | 2013-11-26 | Validity Sensors | System for and method of image reconstruction with dual line scanner using line counts |
| US8538097B2 (en) | 2011-01-26 | 2013-09-17 | Validity Sensors, Inc. | User input utilizing dual line scanner apparatus and method |
| US9406580B2 (en) | 2011-03-16 | 2016-08-02 | Synaptics Incorporated | Packaging for fingerprint sensors and methods of manufacture |
| US10043052B2 (en) | 2011-10-27 | 2018-08-07 | Synaptics Incorporated | Electronic device packages and methods |
| US9195877B2 (en) | 2011-12-23 | 2015-11-24 | Synaptics Incorporated | Methods and devices for capacitive image sensing |
| US9785299B2 (en) | 2012-01-03 | 2017-10-10 | Synaptics Incorporated | Structures and manufacturing methods for glass covered electronic devices |
| US9268991B2 (en) | 2012-03-27 | 2016-02-23 | Synaptics Incorporated | Method of and system for enrolling and matching biometric data |
| US9137438B2 (en) | 2012-03-27 | 2015-09-15 | Synaptics Incorporated | Biometric object sensor and method |
| US9251329B2 (en) | 2012-03-27 | 2016-02-02 | Synaptics Incorporated | Button depress wakeup and wakeup strategy |
| US9600709B2 (en) | 2012-03-28 | 2017-03-21 | Synaptics Incorporated | Methods and systems for enrolling biometric data |
| US9152838B2 (en) | 2012-03-29 | 2015-10-06 | Synaptics Incorporated | Fingerprint sensor packagings and methods |
| EP2836960B1 (de) | 2012-04-10 | 2018-09-26 | Idex Asa | Biometrische erfassung |
| DE102012108838A1 (de) * | 2012-09-19 | 2014-05-28 | Cross Match Technologies Gmbh | Verfahren und Vorrichtung zur Aufnahme von Fingerabdrücken auf Basis von Fingerabdruckscannern in zuverlässig hoher Qualität |
| US9665762B2 (en) | 2013-01-11 | 2017-05-30 | Synaptics Incorporated | Tiered wakeup strategy |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5828773A (en) * | 1996-01-26 | 1998-10-27 | Harris Corporation | Fingerprint sensing method with finger position indication |
| US5963656A (en) * | 1996-09-30 | 1999-10-05 | International Business Machines Corporation | System and method for determining the quality of fingerprint images |
| PT981802E (pt) * | 1997-05-13 | 2002-01-30 | Siemens Ag Oesterreich | Processo para a identificacao de impressoes digitais |
| US6131464A (en) * | 1998-06-16 | 2000-10-17 | Smarttouch, Inc. | Pressure sensitive biometric input apparatus |
-
2002
- 2002-03-13 WO PCT/DE2002/000898 patent/WO2002077907A1/de not_active Ceased
- 2002-03-13 EP EP02729788A patent/EP1371011A1/de not_active Ceased
Non-Patent Citations (1)
| Title |
|---|
| See references of WO02077907A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2002077907A1 (de) | 2002-10-03 |
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