US2010054553A1PendingUtilityA1
Fingerprint preview quality and segmentation
Est. expiryApr 26, 2026(expired)· nominal 20-yr term from priority
G06V 40/1359G06V 40/1347G06T 7/149G06T 2210/12G06V 10/993G06V 40/1353G06V 40/1376
51
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Claims
Abstract
A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow-containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.
Claims
exact text as granted — not AI-modified1 . An image quality determination method for an input image of any resolution comprising:
determining ridge flow for a received image; establishing a ridge flow array; and identifying one or more regions of the image.
2 . The method of claim 1 , further comprising determining and scoring a quality of the image.
3 . The method of claim 1 , further comprising assigning a bounding box to a portion of the image.
4 . The method of claim 1 , further comprising determining handedness of the image.
5 . The method of claim 1 , further comprising performing a historical analysis of a plurality of received images for one or more of quality, handedness and assignment of bounding boxes.
6 . The method of claim 1 , further comprising determining a grid spacing for the image based on image resolution.
7 . The method of claim 6 , further comprising modifying a processing window and Fourier coefficient frequency based on the image resolution.
8 . The method of claim 1 , further comprising selecting grid points for the image and, for each image grid point, determine Fourier coefficients for a sub-window around the grid point for a predetermined number of frequencies at different angles.
9 . The method of claim 8 , further comprising determining a correlation map based on a peak correlation between the predetermined number of frequencies at different angles and a local ridge flow.
10 . The method of claim 1 , further comprising determining a peak ridge flow angle from a correlation map.
11 . The method of claim 1 , further comprising averaging a correlation map.
12 . The method of claim 1 , wherein the method is performed in real-time.
13 - 22 . (canceled)
23 . An image quality module for an input image of any resolution comprising:
a ridge flow module adapted to determine ridge flow for a received image, establish a ridge flow array and identify one or more regions of the image.
24 . The system of claim 23 , further comprising a quality determination module adapted to determine and score a quality of the image.
25 . The system of claim 23 , wherein the ridge flow module is further adapted to assign a bounding box to a portion of the image.
26 . The system of claim 23 , further comprising a handedness module adapted to determine handedness of the image.
27 . The system of claim 23 , further comprising an auto-capture module adapted to perform a historical analysis of a plurality of received images for one or more of quality, handedness and assignment of bounding boxes.
28 . The system of claim 23 , further adapted to determine a grid spacing for the image based on image resolution.
29 . The system of claim 28 , further adapted to modify a processing window and Fourier coefficient frequency based on the image resolution.
30 . The system of claim 23 , further adapted to select grid points for the image and, for each image grid point, determine Fourier coefficients for a sub-window around the grid point for a predetermined number of frequencies at different angles.
31 . The system of claim 30 , further adapted to determine a correlation map based on a peak correlation between the predetermined number of frequencies at different angles and a local ridge flow.
32 . The system of claim 23 , further adapted to determine a peak ridge flow angle from a correlation map.
33 . The system of claim 23 , further adapted to average a correlation map.
34 . The system of claim 23 , wherein the system operates in real-time.
35 . The system of claim 23 , further comprising a sampling module adapted to resample the input image.
36 . An image quality determination system for an input image of any resolution comprising:
means for determining ridge flow for a received image; means for establishing a ridge flow array; and means for identifying one or more regions of the image.
37 . The system of claim 36 , further comprising means for determining and scoring a quality of the image.
38 . The system of claim 36 , further comprising means for assigning a bounding box to a portion of the image.
39 . The system of claim 36 , further comprising means for determining handedness of the image.
40 . The system of claim 36 , further comprising means for performing a historical analysis of a plurality of received images for one or more of quality, handedness and assignment of bounding boxes.
41 . The system of claim 36 , further comprising means for determining a grid spacing for the image based on image resolution.
42 . The system of claim 41 , further comprising means for modifying a processing window and Fourier coefficient frequency based on the image resolution.
43 . The system of claim 36 , further comprising means for selecting grid points for the image and, for each image grid point, determine Fourier coefficients for a sub-window around the grid point for a predetermined number of frequencies at different angles.
44 . The system of claim 43 , further comprising means for determining a correlation map based on a peak correlation between the predetermined number of frequencies at different angles and a local ridge flow.
45 . The system of claim 36 , further comprising means for determining a peak ridge flow angle from a correlation map.
46 . The system of claim 36 , further comprising means for averaging a correlation map.
47 . The system of claim 36 , wherein the system operates in real-time.
48 - 58 . (canceled)Join the waitlist — get patent alerts
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