Composite image generating method, and a fingerprint detection apparatus

• US 20020012455A1
• Filed: 05/11/2001
• Published: 01/31/2002
• Est. Priority Date: 05/15/2000
• Status: Abandoned Application

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Benckert, Henrik
• Application Number:
  US09/854,200
• Publication Number:
  US 20020012455A1
• Time in Patent Office: Days
• US Class Current: 382/124
• CPC Class Codes: G06V 40/1335 Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement

Abstract

A fingerprint detection apparatus has a fingerprint sensor (10), which produces a sequence of at least partially overlapping fingerprint frames (13), when a finger (11) is moved in relation to the fingerprint sensor. The apparatus also has a processing device, which is coupled to the fingerprint sensor and produces a complete fingerprint image (14) by computing a relative displacement between respective fingerprint frames and combining the fingerprint frames accordingly. The processing device determines the relative displacement between a first fingerprint frame and a second fingerprint frame by selecting a plurality of subareas in the first fingerprint frame. For each subarea, a respective correlation with the second fingerprint frame is determined. Then a linear combination of the respective correlations is computed, and finally, from the computed linear combination, the relative displacement is determined.

Claims

1. A method of generating a composite image (14) from a sequence of partial image frames (13a-x), which represent different but at least partially overlapping areas of a body-specific pattern, wherein displacements between successive image frames are determined so as to combine the image frames correctly when generating the composite image, characterized in that the following steps are performed for said sequence of image frames:

selecting a predetermined number of subareas (22a-f) of a first image frame (13j),

for each subarea, determining a correlation (25) with a second image frame (13), which succeeds the first image frame,

calculating a linear combination (29) of the correlations (25a, 25b) for all subareas, and

determining, from the calculated linear combination, the displacement between the first and second image frames.

2. A method as in claim 1, wherein portions of said first image frame (13j), which are uncommon compared to other portions of the image frame and which moreover are non-adjacent to each other in the image frame, are selected as said subareas (22a-f).

3. A method as in claim 1 or 2, wherein the image frames (13a-x) are grayscale images and wherein the selected subareas (22a-f) have pixel grayscale intensities, which are either essentially white or essentially black.

4. A method as in any of claims 1-3, wherein each subarea contains one pixel only.

5. A method as in claim 4, wherein a total of six subareas (22a-f) are selected, three of them being essentially black and the other three being essentially white.

6. A method as in any preceding claim, wherein the correlation for each subarea (22) of the first image frame (13j) is determined with respect to a search area (23) of the second image frame (13), said search area being larger than said subarea but being smaller than the second image frame as a whole.

7. A method as in claim 6, wherein the search area (23) of the second image frame (13) comprises 19×

19 pixels.

8. A method as in claim 1, wherein the displacement is determined by first selecting, from the calculated combination, a plurality of displacement candidates and then applying a Maximum-Likelihood estimating procedure to the plurality of displacement candidates, so as to find the most likely displacement.

9. A method as in any preceding claim, wherein said composite image (14) and said sequence of partial image frames (13a-13x) represent a fingerprint.

10. A fingerprint detection apparatus, comprising a fingerprint sensor (10) adapted to produce a sequence of at least partially overlapping fingerprint frames (13), when a finger (11) is moved in relation to the fingerprint sensor, and a processing device (15), which is coupled to the fingerprint sensor and is adapted to produce a complete fingerprint image (14) by computing the relative displacement between respective fingerprint frames and combining the fingerprint frames accordingly, characterized in that the processing device (15) is adapted to determine the relative displacement between a first fingerprint frame (13j) and a second fingerprint frame (13) by:

selecting a plurality of subareas (22a-f) in the first fingerprint frame;

for each subarea, determining a respective correlation (25) with the second fingerprint frame;

computing a linear combination (2a) of the respective correlations (25a, 25b), and determining, from the computed linear combination, the relative displacement.

11. A fingerprint detection apparatus as in claim 10, wherein the processing device (15) furthermore is adapted to select, from the computed linear combination (29), a plurality of displacement candidates and then determine the most likely displacement among these candidates by applying a Maximum-Likelihood estimating procedure.

12. A portable or miniaturized electronic device, comprising a fingerprint detection apparatus according to any of claim 10 or 11.

13. A device according to claim 12 in the form of a mobile telephone (1).