EP1573652A2 - Verfahren zur detektion der relativbewegung eines fingers gegenüber einer sensorfläche - Google Patents
Verfahren zur detektion der relativbewegung eines fingers gegenüber einer sensorflächeInfo
- Publication number
- EP1573652A2 EP1573652A2 EP03779681A EP03779681A EP1573652A2 EP 1573652 A2 EP1573652 A2 EP 1573652A2 EP 03779681 A EP03779681 A EP 03779681A EP 03779681 A EP03779681 A EP 03779681A EP 1573652 A2 EP1573652 A2 EP 1573652A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- partial
- finger
- image
- sensor surface
- movement
- 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
- G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
Definitions
- the invention relates to a method for detecting the relative movement of a finger relative to a sensor surface.
- Fingerprint sensors are known from the prior art which have approximately the size of the area of a finger whose surface structure is to be evaluated. The most widespread are fingerprint sensors based on a capacitive measuring method. In such fingerprint sensors, a plurality of electrodes are formed on a silicon surface, each of which has a stray capacitance to the surroundings. The capacitance of the capacitors formed therefore depends on the environment of the electrode. With a finger placed on it, it can be recognized from the capacitance whether the electrode is opposite a recess of the finger or whether it is in contact with the skin via a passivation layer. A grayscale image of the fingerprint can be created by evaluating the capacitance values.
- Fingerprint sensors for example from EP 0 813 164 AI, have become known which are strip-shaped and have the width of a finger, while the dimension perpendicular to them is considerably smaller. The manufacturing costs of such a sensor are significantly lower. Since the finger is moved over the sensor in order to obtain a complete image, the partial images recorded during the movement must be combined again to form an overall image. be set. The problem here is that the speed of the finger movement is not known in advance and it must also be assumed that the finger is not being moved in a straight line.
- the partial images are recorded in such a way that overlapping areas result and the overlaps can be used to identify how the partial images are to be put together. This process is very computational and memory-intensive. Because of the overlaps, there is redundancy of data on the basis of which the compilation of the partial images can be carried out. The overlaps are usually much larger than would be necessary to calculate the arrangement of the partial images. This is because it is not known in advance how fast the finger is moved. If the finger is moved much slower than would be theoretically possible, the partial images are nevertheless taken at the same rate as with a quick finger movement. As a result, a great deal of redundant data is recorded and stored.
- Another possibility for creating a complete image of a fingerprint with a strip sensor is to record both partial images and a movement function of the finger, so that the movement function is used to record the correct positioning of drawing files can be calculated.
- partial images must be recorded at a relatively high clock rate, although this would not be necessary per se with a slow finger movement. Otherwise there would be gaps in the image of the fingerprint.
- the object of the invention is therefore to provide a method for detecting the relative movement of a finger relative to a sensor surface, which is very precise and, moreover, is simple to implement, in particular does not place high demands on the available memory and the available computing capacity poses.
- a suitable reading device for fingerprints should be specified.
- step b) recording and intermediate storage of a first partial image of the finger in a first partial area of the sensor surface b) tracking of the movement of the finger on the basis of the movement of the first partial image of the finger by monitoring adjacent areas of the sensor surfaces for the occurrence of partial images correlating with the first partial image, and c) repetition of step b) until the tracked section of the finger has left a predetermined area of the sensor surface.
- a reading device for fingerprints that solves the problem has a sensor surface for detecting the surface structure of a finger that is in contact with the sensor surface and thereby moving over the sensor surface, Recording device for creating an image from partial images recorded in sections and a sequence control connected to the image recording device for controlling the sequence for reading the fingerprint and is characterized by a motion detection device connected to the sequence control for implementing the method according to one of claims 1 to 9.
- the advantage of the method according to the invention is that the tracking of the movement of the finger or of the first partial image extends over a further area of a sensor, and so temporary errors, for example quantization errors, are compensated for when the finger continues to move.
- the movement parameters can be determined during the reading process by fast logic circuits without extensive image data having to be buffered and subsequently evaluated.
- the resulting data volume is therefore very low, with extremely high precision being achieved by tracking over a larger area of the sensor surface.
- Steps a) to c) are advantageously repeated until the movement of the finger satisfies predetermined conditions, for example until the finger is no longer in contact with the sensor surface.
- the movement of the finger is followed by the steps:
- step b) a) definition of a second partial region of the sensor surface adjacent to the first partial region, b) continuous recording of a second partial image in the second partial region and determination of a correlation between the second partial image and the temporarily stored first partial image and c) repetition of step b) until the determined one Correlation of predetermined conditions is sufficient. In this way, only one sub-picture has to be buffered.
- the correlation determined in step b) can also be compared with a correlation of a newly recorded first partial image with the temporarily stored first partial image, so that a relative condition must therefore be fulfilled. Accordingly, there would be a movement if the first-mentioned correlation is greater than the second-mentioned correlation.
- the sub-area evaluated for the motion detection is considerably narrower than the width of the sensor surface.
- the security and precision of the detection of the movement is increased in that movement detections are carried out simultaneously using different partial areas and the results are linked to one another.
- Advantageous reading devices for fingerprints have a motion detection device which operate according to the described method.
- the sequence control is set up to cause the image recording device to record an image section intended for output or storage after the detection of a defined further movement of the finger by the motion detection device. This can take place, for example, when the motion detection device detects that the finger has been moved one image line or when the observed section of the finger has reached the edge of a predetermined sensor area.
- a new first partial image is opened in the first partial area. taken and again tracked to the edge of a predetermined sensor area.
- the movement detection device of the reading device has a filter for error correction.
- FIG. 1 shows a schematic illustration of a reading device for fingerprints
- FIG. 2 shows an expanded illustration of the reading device from FIG. 1,
- FIG. 4 shows a diagram as in FIG. 3 with filtering of the movement function.
- the 1 shows a reading device for fingerprints with a sensor surface 1, an image processing device 5, which converts the capacitance values determined by the sensor surface 1 into a digital signal, a movement detection device 4, which determines the movement of a finger relative to the sensor surface 1 from the determined image data, and which has a calculation unit 13, a field memory 9 and an optional output filter 7.
- the output filter 7 filters the movement function determined by the calculation unit 13 in order to be able to provide an error-corrected or smoothed movement function 18.
- the detection of a relative movement of a finger with respect to the sensor surface 1 takes place in that a partial image is first recorded in a first partial region 6 of the sensor surface 1.
- the motion detection device 4 stores the partial image in the partial image memory 9. To explain the mode of operation, it is assumed that the finger now moves on such that the original partial image of the partial area 6 now comes to lie in a shifted area 16.
- a second partial region 10 is now considered, which in the exemplary embodiment of FIG. 1 is adjacent to the first partial region 6. This continuously monitors whether the recorded data changes. The described displacement of the finger also changes the acquired data in the second partial area 10.
- the partial images continuously recorded in partial area 10 are also binarized and compared by calculation unit 13 with the stored first partial image in partial image memory 9.
- the comparison is carried out in such a way that not only identical images are recognized, but that a correlation between the first and the continuously recorded second partial image is recognized.
- a plurality of second sub-areas are defined, which are continuously monitored, the correlations of the second sub-images with the first sub-image being evaluated simultaneously. While in the first variant a lateral displacement of the finger leads to a deterioration in the correlation, in the second variant a lateral displacement of the finger results from the determination of the second partial image, which has the highest correlation with the first partial image.
- the second sub-areas are determined, for example, so that they are each shifted by one pixel.
- the second sub-areas are defined in a main direction or in several directions, starting from the first sub-area.
- a fingerprint sensor in which the finger is to be moved in one direction over the sensor surface would, for example, take this main direction and the adjacent directions into account in order to detect the movement of the finger in this main direction and small lateral deviations therefrom.
- a sensor would take all directions into account if a cursor is to be controlled on a screen by means of the sensor surface, so that a movement in each direction of a two-dimensional coordinate system must be detected.
- Such an application is given with a so-called touchpad or a touchscreen. In this way, new, small and pixel-precise pointing devices can be realized, which can find space in cell phones, for example.
- the motion detection device 4 compares the partial images recorded in the newly defined second partial region 11 or the newly defined second partial regions with the first partial image stored in the partial image memory 9.
- the motion detection device 4 When calculating the correlation, the motion detection device 4 recognizes a lateral deviation of the recorded partial images from the first partial image. This information in conjunction with the information as to when there is a correlation at all enables the calculation unit 13 of the movement detection device 4 to determine an exact movement function of the finger that is moved over the sensor surface 1. The method steps described above are continued until the respectively newly defined second partial area adjoins the lower edge of the sensor surface 1.
- the first partial area 6 is read out again and stored in the partial image memory 9.
- the described method can then be carried out repeatedly, this time with the newly read and stored data of the first partial area.
- the first partial area can be shifted in an optimized configuration relative to the original first partial area.
- temporary deviations e.g. B. automatically corrected by quantization noise. Since in the present case only two small sub-areas have to be compared with one another, the required hardware is very simple and the calculation unit 13 can be implemented by fast and inexpensive logic circuits.
- a diagram shows in FIG. 3 how, for example, the actual movement of the finger proceeds and the movement function determined for this purpose.
- the straight lines 21 and 23 correspond to actual exemplary movement of the finger, while the lines 22 and 24 show the movement function determined by the movement detection device 4.
- a filter 7 is provided, as described above, which smoothes the movement function determined by the movement detection device 4, so that the output signal 8 undergoes a further improvement.
- Such a filtered movement function is shown in FIG. 4.
- the straight lines 21 and 23 in turn correspond to exemplary actual movements of the finger, while the lines 25 and 26 correspond to those through the movement detection device 4 functions determined and smoothed by the filter 2 show.
- FIG. 2 shows an extended reading device for fingerprints.
- the sensor surface 1 has approximately the width of a finger.
- a part 12 of the sensor surface 1 is used for motion detection.
- the first subarea 6 is located horizontally in the middle of the sensor part 12 on the upper edge in FIG. 2.
- the first subarea 6 can have a height of several sensor rows.
- the second partial area, which is evaluated to determine the second partial image is not defined directly adjacent to the first partial area, but is merely shifted by one pixel, so that there is an overlap. This is not shown in Figure 2 in order to maintain the clarity of the figure.
- An image processing device 5, a motion detection device 4 and an image recording device 2 are provided in FIG.
- the field memory 9 is not shown for the sake of clarity.
- a sequence control 3 is provided.
- the sequence controller 3 regulates the use of the reading device.
- the motion detection device 4 reports that the finger on the sensor surface 1 has been moved one sensor line
- the sequence control 3 interrupts the motion detection, triggers the image recording by the image recording device 2, a line being recorded in the entire width of the sensor surface 1, and then switches again motion detection.
- a finger image is generated line by line in the image recording device 2, a lateral offset being automatically compensated for by an oblique movement of the finger.
- the image data is either output continuously or a complete image is created and the entire image is then output.
- the application of the method according to the invention allows the quantization noise to be filtered out.
- This makes it possible to reduce the number of gray levels of the image data for motion detection and even to use binary images.
- the further logic circuits required for motion detection are thus considerably simplified and can be constructed in a space-saving manner.
- the power requirement of the circuit drops.
- the images generated by the image recording device 2 can nevertheless be output in grayscale, since the acquisition of the data for output or storage is independent of the acquisition of the data for motion detection.
- the reading device described is also very compact because part of the sensor surface is used for motion detection, which is anyway required to record the image. Compared to reading devices for fingerprints that use additional motion sensors, there is therefore a further simplification, which leads to space and cost savings.
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Image Input (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of Length, Angles, Or The Like Using Electric Or Magnetic Means (AREA)
Abstract
Description
Claims
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP14184572.7A EP2838052A3 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur Detektion der Relativbewegung eines Fingers gegenüber einer Sensorfläche |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE10254614A DE10254614B4 (de) | 2002-11-22 | 2002-11-22 | Verfahren zur Detektion einer Relativbewegung eines Fingers gegenüber einer Sensorfläche |
| DE10254614 | 2002-11-22 | ||
| PCT/DE2003/003629 WO2004049254A2 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur detektion der relativbewegung eines fingers gegenüber einer sensorfläche |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP14184572.7A Division EP2838052A3 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur Detektion der Relativbewegung eines Fingers gegenüber einer Sensorfläche |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP1573652A2 true EP1573652A2 (de) | 2005-09-14 |
Family
ID=32318629
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP03779681A Ceased EP1573652A2 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur detektion der relativbewegung eines fingers gegenüber einer sensorfläche |
| EP14184572.7A Withdrawn EP2838052A3 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur Detektion der Relativbewegung eines Fingers gegenüber einer Sensorfläche |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP14184572.7A Withdrawn EP2838052A3 (de) | 2002-11-22 | 2003-10-31 | Verfahren zur Detektion der Relativbewegung eines Fingers gegenüber einer Sensorfläche |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20050271259A1 (de) |
| EP (2) | EP1573652A2 (de) |
| DE (1) | DE10254614B4 (de) |
| TW (1) | TWI237798B (de) |
| WO (1) | WO2004049254A2 (de) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005081631A2 (en) | 2004-02-27 | 2005-09-09 | N-Trig Ltd. | Noise reduction in digitizer system |
| US7693314B2 (en) * | 2004-10-13 | 2010-04-06 | Authentec, Inc. | Finger sensing device for navigation and related methods |
| CN101167074A (zh) | 2005-04-25 | 2008-04-23 | 富士通株式会社 | 文件管理方法 |
| US8509494B2 (en) | 2005-12-21 | 2013-08-13 | Koninklijke Philips N.V. | Biometric information detection using sweep-type imager |
| TWI413451B (zh) * | 2009-09-29 | 2013-10-21 | Tzung Hsien Lee | 具有指控自動感應開關之手套 |
| TWI457842B (zh) * | 2010-09-29 | 2014-10-21 | Gingy Technology Inc | A segmented image recognition method and a region identification device thereof |
| SE1550281A1 (en) | 2015-03-06 | 2016-09-07 | Fingerprint Cards Ab | Method and system for estimating finger movement |
| US10095361B2 (en) | 2015-03-18 | 2018-10-09 | Microsoft Technology Licensing, Llc | Stylus detection with capacitive based digitizer sensor |
| US10423268B2 (en) | 2015-12-22 | 2019-09-24 | Microsoft Technology Licensing, Llc | System and method for detecting grounding state of a touch enabled computing device |
| US10296146B2 (en) | 2015-12-22 | 2019-05-21 | Microsoft Technology Licensing, Llc | System and method for detecting grip of a touch enabled device |
| US9823774B2 (en) | 2016-02-23 | 2017-11-21 | Microsoft Technology Licensing, Llc | Noise reduction in a digitizer system |
| SE1751288A1 (en) * | 2017-10-17 | 2019-04-18 | Fingerprint Cards Ab | Method of controlling an electronic device |
| US10678348B2 (en) | 2018-03-12 | 2020-06-09 | Microsoft Technology Licensing, Llc | Touch detection on an ungrounded pen enabled device |
| US10616349B2 (en) | 2018-05-01 | 2020-04-07 | Microsoft Technology Licensing, Llc | Hybrid sensor centric recommendation engine |
| CN112204576B (zh) * | 2018-05-28 | 2022-04-29 | 指纹卡安娜卡敦知识产权有限公司 | 用于确定指纹传感器上的手指运动的方法 |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4270143A (en) * | 1978-12-20 | 1981-05-26 | General Electric Company | Cross-correlation video tracker and method |
| US5053757A (en) * | 1987-06-04 | 1991-10-01 | Tektronix, Inc. | Touch panel with adaptive noise reduction |
| US5729008A (en) * | 1996-01-25 | 1998-03-17 | Hewlett-Packard Company | Method and device for tracking relative movement by correlating signals from an array of photoelements |
| FR2749955B1 (fr) * | 1996-06-14 | 1998-09-11 | Thomson Csf | Systeme de lecture d'empreintes digitales |
| JP3770344B2 (ja) * | 1996-12-26 | 2006-04-26 | ソニー株式会社 | 画像照合装置及び画像照合方法 |
| NO304766B1 (no) * | 1997-06-16 | 1999-02-08 | Sintef | Fingeravtrykksensor |
| US6546122B1 (en) * | 1999-07-29 | 2003-04-08 | Veridicom, Inc. | Method for combining fingerprint templates representing various sensed areas of a fingerprint to derive one fingerprint template representing the fingerprint |
| SE515239C2 (sv) * | 2000-05-15 | 2001-07-02 | Ericsson Telefon Ab L M | Metod för alstring av en sammansatt bild samt en apparat för detektering av fingeravtryck |
| US7289649B1 (en) * | 2000-08-10 | 2007-10-30 | Avago Technologies Ecbu Ip (Singapore) Pte. Ltd. | Fingerprint imager |
| DE10109560B4 (de) * | 2001-02-28 | 2007-02-08 | Infineon Technologies Ag | Lesevorrichtung für Fingerabdrücke |
| SE0100887D0 (sv) * | 2001-03-15 | 2001-03-15 | Fingerprint Cards Ab | Anordning och metod för behandling av fingeravtrycksinformation |
| FR2832240A1 (fr) * | 2001-11-13 | 2003-05-16 | St Microelectronics Sa | Element de detection tactile, procede mettant en oeuvre un tel element de detection tactile, et appareil incorporant cet element |
-
2002
- 2002-11-22 DE DE10254614A patent/DE10254614B4/de not_active Expired - Fee Related
-
2003
- 2003-10-30 TW TW092130362A patent/TWI237798B/zh not_active IP Right Cessation
- 2003-10-31 EP EP03779681A patent/EP1573652A2/de not_active Ceased
- 2003-10-31 WO PCT/DE2003/003629 patent/WO2004049254A2/de not_active Ceased
- 2003-10-31 EP EP14184572.7A patent/EP2838052A3/de not_active Withdrawn
-
2005
- 2005-05-23 US US11/136,611 patent/US20050271259A1/en not_active Abandoned
Non-Patent Citations (1)
| Title |
|---|
| MALTONI D ( ET AL: "Chapter 2 : Fingerprint Sensing", 1 January 2003, HANDBOOK OF FINGERPRINT RECOGNITION; [SPRINGER PROFESSIONAL COMPUTING], SPRINGER VERLAG, NEW YORK, US, PAGE(S) 53 - 82, ISBN: 978-0-387-95431-8, XP002663540 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2004049254A3 (de) | 2004-07-29 |
| DE10254614B4 (de) | 2006-04-20 |
| TW200409042A (en) | 2004-06-01 |
| US20050271259A1 (en) | 2005-12-08 |
| DE10254614A1 (de) | 2004-06-17 |
| EP2838052A2 (de) | 2015-02-18 |
| EP2838052A3 (de) | 2015-09-30 |
| TWI237798B (en) | 2005-08-11 |
| WO2004049254A2 (de) | 2004-06-10 |
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