KR20120041900A - Method for recognizing finger-print and apparatus thefor - Google Patents

Abstract

PURPOSE: A fingerprint recognition method and an apparatus thereof are provided to secure the quality of fingerprints by performing quality check of fingerprints from images. CONSTITUTION: An image input unit(110) receives images within specific time and obtains fingerprints about images. A quality checker(130) performs quality check about the fingerprints. A controller(160) decides the performance of a fingerprint capture based on the quality check. A fingerprint capturing unit(140) captures fingerprints according to the determination of the controller. The controller controls the image input unit and obtains fingerprints from the image.

Description

Fingerprint recognition method and fingerprint recognition device {METHOD FOR RECOGNIZING FINGER-PRINT AND APPARATUS THEFOR}

The disclosed technique relates to a fingerprint recognition method, and more particularly, to a fingerprint recognition method and a fingerprint recognition device capable of obtaining fingerprints for different distinct fingers from each of a plurality of images.

As the importance of privacy and security is emphasized, a great deal of research and attention has been focused on biometric techniques such as fingerprint-print, retina, iris, and face recognition. have. Among them, the fingerprint authentication method is recognized as the most efficient authentication method among biometrics because it is superior in terms of reliability, stability, and processing speed compared to other biometric methods.

There are a number of feature regions and a normal region of directional fingerprint ridges in the fingerprint. Many feature areas include an ending point in which the ridge proceeds and boils, and a bifurcation point in which the ridge splits. This feature region is called a minutiae of the fingerprint. Generally, about 100 to 150 of these feature points are distributed on one finger, and each person is known to have a different type, position, and direction. Therefore, the information on the feature points of the fingerprint can be used as an identification means for each individual.

According to an embodiment, a fingerprint recognition method includes obtaining a plurality of images within a specific time; Obtaining fingerprints for different distinct fingers from each of the plurality of images; Performing a quality check on the obtained separate fingerprint; And determining whether to perform fingerprint capture based on the performed quality check.

According to an embodiment, a fingerprint recognition method may include receiving an input of a number of images to be obtained from a user; Obtaining a plurality of images within a specific time by the number of the input images; Obtaining fingerprints for different distinct fingers from each of the plurality of images; Performing a quality check on the obtained separate fingerprint; And determining whether to perform fingerprint capture based on the performed quality check.

According to an embodiment, a fingerprint recognition method includes obtaining an image from a user within a specific time; Obtaining fingerprints for different distinct fingers from the image; Performing a quality check on the obtained separate fingerprints; And determining whether to perform fingerprint capture of any of the obtained separate fingerprints based on the quality check performed.

According to an embodiment, a fingerprint recognition method includes: obtaining an image to obtain a number of fingerprints; Obtaining a plurality of images by the number of fingerprints, wherein the plurality of images may comprise the obtained image; Obtaining fingerprints for different distinct fingers from each of the obtained plurality of images; Performing a quality check on the obtained separate fingerprint; And determining whether to perform fingerprint capture based on the performed quality check.

According to an embodiment, the fingerprint recognition apparatus may include an image input unit which receives a plurality of images within a specific time and obtains a fingerprint for a different finger from each of the plurality of images; A quality checker which performs a quality check on the obtained separate fingerprint; A controller for determining whether to perform fingerprint capture based on the performed quality check; And a fingerprint capture unit that performs the fingerprint capture according to the determination of the controller.

1 illustrates a fingerprint recognition device according to an embodiment of the disclosed technology.
FIG. 2 is a view for explaining an example of a fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG. 1.
3A to 3E are diagrams for describing a fingerprint scanner included in the image input unit of the fingerprint recognition device illustrated in FIG. 1 and first to fourth fingerprints obtained from each of the first to fourth images.
4 is a view for explaining another example of the fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG. 1.
5 is a view for explaining another example of the fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG.

The description of the disclosed technique is merely an example for structural or functional explanation and the scope of the disclosed technology should not be construed as being limited by the embodiments described in the text. That is, the embodiments may be variously modified and may have various forms, and thus the scope of the disclosed technology should be understood to include equivalents capable of realizing the technical idea.

Meanwhile, the meaning of the terms described in the present application should be understood as follows.

Terms such as "first" and "second" are intended to distinguish one component from another component, and the scope of rights should not be limited by these terms. For example, the first component may be named a second component, and similarly, the second component may also be named a first component.

The term “and / or” should be understood to include all combinations that can be presented from one or more related items. For example, the meaning of "first item, second item and / or third item" may be presented from two or more of the first, second or third items as well as the first, second or third item It means a combination of all the items that can be.

When a component is referred to as being "connected" to another component, it should be understood that there may be other components in between, although it may be directly connected to the other component. On the other hand, when an element is referred to as being "directly connected" to another element, it should be understood that there are no other elements in between. On the other hand, other expressions describing the relationship between the components, such as "between" and "immediately between" or "neighboring to" and "directly neighboring to", should be interpreted as well.

Singular expressions should be understood to include plural expressions unless the context clearly indicates otherwise, and terms such as "include" or "have" refer to features, numbers, steps, operations, components, parts, or parts thereof described. It is to be understood that the combination is intended to be present, but not to exclude in advance the possibility of the presence or addition of one or more other features or numbers, steps, operations, components, parts or combinations thereof.

For each step, the identifiers (e.g., a, b, c, ...) are used for convenience of description, and the identifiers do not describe the order of the steps, and each step is clearly contextual. Unless stated in a specific order, it may occur differently from the stated order. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

All terms used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. Terms defined in commonly used dictionaries should be interpreted to be consistent with meaning in the context of the relevant art and can not be construed as having ideal or overly formal meaning unless expressly defined in the present application.

1 illustrates a fingerprint recognition device according to an embodiment of the disclosed technology.

Referring to FIG. 1, the fingerprint recognition device 100 includes an image input unit 110, a quality checker 130, a fingerprint capture unit 140, and a controller 160, and a user interface unit 120 and a memory ( 150) may be further included.

The image input unit 110 obtains at least one image within a specific time, that is, a predetermined time.

The image input unit 110 receives at least one image from a user within a specific time. The number of images received from the user may be stored in the memory 150 in advance. In addition, the number of images may be input by the user through the user interface 120 before the image input unit 110 receives images from the user.

If at least one image is input within a certain time, the image input unit 110 obtains fingerprints for different distinct fingers from each of the at least one image. For example, it is assumed that the fingerprint recognition device 100 receives fingerprints for the thumb, index finger, and middle finger of the right hand. Since the image input unit 110 may receive an image for each of the fingers, the image input unit 110 may receive three images from the user. When receiving three images, the image input unit 110 obtains a fingerprint for a thumb, a fingerprint for an index finger, and a fingerprint for a middle finger from each of the three images. For example, the image input unit 110 obtains the fingerprint for the thumb from the first input image of the three images, obtains the fingerprint for the index finger from the second input image, and thirdly A fingerprint for the middle finger may be obtained from the input image.

The user interface 120 is for interfacing the user with the fingerprint recognition device 100, and input from a user other than an image input performed by the image input unit 110, for example, through the image input unit 110. The number of images to be input may be received from the user. In order to receive an input from a user, the UI unit 120 may include a plurality of buttons (not shown). In addition, the user interface 120 may include a display device (not shown) capable of displaying various notifications to the user. The user interface 120 may notify the user that a plurality of images have been input through the display device or request that the user re-enter the images.

The quality checker 130 checks the quality of each of the fingerprints obtained from the at least one image. The quality checker 130 may check the quality of each of the fingerprints according to a predetermined criterion.

According to an embodiment, the quality check unit 130 may include a ratio of noise included in each of the fingerprints obtained from the image input unit 110, sharpness, resolution, and resolution of each of the fingerprints. resolution to determine the quality of each fingerprint. For example, if the quality checker 130 includes less than 20% of noise in the fingerprint, the quality check for the fingerprint is referred to as 'success', and if the noise is included in more than 20% of the fingerprint, the quality checker 130 The quality check can be determined as 'failure'.

According to an embodiment, the quality checker 130 checks the contrast between the ridge and the valley included in each of the fingerprints obtained from the image inputter 110 to check the quality of each fingerprint. Can be determined. For example, if the contrast between the ridges and valleys included in the fingerprint is clearer than a predetermined criterion, the quality checker 130 refers to the quality check for the fingerprint as 'success'. The quality check on the fingerprint can be determined as 'failure'. In addition, the contrast may include a color contrast, a brightness contrast, a saturation contrast, and the like. Therefore, the quality checker 130 may check the quality of each of the fingerprints according to color contrast, brightness contrast, saturation contrast, and the like for each of the fingerprints according to a predetermined criterion.

The fingerprint capture unit 140 performs fingerprint capture. The fingerprint capture unit 140 captures fingerprints for the fingerprints of which quality check is successful among the quality checks through the quality checker 130 under the control of the controller 160. According to an embodiment, the fingerprint capture unit 140 converts a fingerprint input through the image input unit 110 into image data (eg, a Joint Photographic Experts Group (JPEG), a Graphic Interchange Format (GIF), etc.). By doing so, fingerprint capture can be performed. The data converted from fingerprint to image data (hereinafter referred to as 'fingerprint data') by performing fingerprint capture may be stored in the memory 150 under the control of the controller 160.

The memory 150 stores various data for performing the overall operation of the fingerprint recognition device 100. In an embodiment, the memory 150 may temporarily store images input from the image input unit 110 or temporarily store fingerprints obtained from the images. In addition, the memory 150 may store fingerprint data captured by the fingerprint capture unit 140.

The controller 160 controls the overall operation of the fingerprint recognition device 100.

The controller 160 determines whether to perform fingerprint capture on each of the fingerprints obtained from the image input unit 110. If the quality check result of the quality check unit 130 is 'success', the controller 160 determines to perform fingerprint capture on the fingerprint, and if the quality check result is 'failure', the fingerprint for the fingerprint is determined. You can decide not to perform a capture.

In an embodiment, when the quality check result for the fingerprint is 'fail', the controller 160 reacquires the fingerprint from any one of images other than the image including the fingerprint whose quality check result is 'fail'. The image input unit 110 and the quality check unit 130 may be controlled to perform the quality check with the reacquired fingerprint.

For example, assume that the image input unit 110 receives a first image, a second image, and a third image from a user. It is also assumed that a first fingerprint corresponding to the thumb is obtained from the first image, a second fingerprint corresponding to the index finger is obtained from the second image, and a third fingerprint corresponding to the middle finger is obtained from the third image.

As a result of the quality check of the quality checker 130, if the quality check of the first fingerprint is 'failed', the controller 160 obtains a fingerprint corresponding to the thumb from the second image or the third image. The control unit may control the quality checking unit 130 to check the quality of the fingerprint corresponding to the thumb obtained from the image input unit 110.

FIG. 2 is a view for explaining an example of a fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG. 1. 2, a first image for obtaining a fingerprint corresponding to a thumb, a second image for obtaining a fingerprint corresponding to an index finger, a third image for obtaining a fingerprint corresponding to a middle finger, and a fingerprint corresponding to a ring finger are obtained. It is assumed that fingerprint recognition is performed using the fourth image.

The image input unit 110 of the fingerprint recognition apparatus 100 receives first to fourth images from the user (step S210). The image input unit 110 may include a fingerprint scanner 310 to receive images from a user. When an operation for receiving images by the user (for example, the user places the fingers on the fingerprint scanner 310), the image input unit 110 may include first to fourth images corresponding to each of the fingers. Get the image. In this case, the fingerprint recognition apparatus 100 may obtain first to fourth images corresponding to each of the fingers by scanning the fingers using the fingerprint scanner 310.

The image input unit 110 obtains the first to fourth fingerprints from each of the first to fourth images (step S220). The image input unit 110 may include a first fingerprint corresponding to the thumb from the first image, a second fingerprint corresponding to the index finger from the second image, a third fingerprint corresponding to the middle finger from the third image, and a finger from the fourth image. Acquire a fourth fingerprint corresponding to the finger.

When the first to fourth fingerprints are obtained, the quality checking unit 130 performs a quality check on the N (N is a natural number) fingerprint (step S230).

When the quality check is completed, the controller 160 determines whether to perform fingerprint capture for the Nth fingerprint (step S240). If the quality check result of the Nth fingerprint is 'success', the controller 160 determines to perform fingerprint capture, and if it fails, determines that the fingerprint capture is not performed. In this case, N represents the order of fingerprints in which the quality check is performed. If the quality check on the second fingerprint among the first to fourth fingerprints is performed first, the second fingerprint is the first (N = 1) th fingerprint. Becomes

If it is determined in step S240 that fingerprint capture is not performed (step S240: No), the image input unit 110 obtains a fingerprint from an image other than the image obtained with the Nth fingerprint (step S260). For example, if the quality check result of the second fingerprint that acquired the first fingerprint is 'failure', the controller 160 determines not to perform fingerprint capture on the first fingerprint. In addition, the controller 160 controls the image input unit 110 to reacquire the second fingerprint from any one of images other than the second image from which the second fingerprint is obtained. That is, the image input unit 110 reacquires the second fingerprint from any one of the first image, the third image, and the fourth image. When the second fingerprint is obtained again, the quality checking unit 130 performs a quality check on the reacquired second fingerprint (step S230).

If it is determined in step S240 that fingerprint capture is performed (step S240: Yes), the fingerprint capture unit 140 performs fingerprint capture on the Nth fingerprint (step S250). Thereafter, the controller 160 determines whether N = 4 (step S270). Since the fingerprint recognition method of FIG. 2 relates to a method of recognizing a fingerprint from four fingers, N is preferably the number of fingers to be recognized.

If the determination result in step S270 is N = 4 (step S270: Yes), the controller 160 terminates the fingerprint recognition operation. If N = 4, all fingerprint data corresponding to each of the four fingers is obtained from the first to fourth fingerprints. Accordingly, the controller 160 may store fingerprint data corresponding to each of the four fingers in the memory 150 and terminate the fingerprint recognition operation.

On the other hand, when N = 4, the fingerprint data corresponding to each of the four fingers is not obtained. Therefore, if N = 4 (step S270: No), the controller 160 increases N to N + 1 (N = N + 1) (step S280), and performs quality check on the N th fingerprint again. (Step S230).

3A to 3E are diagrams for describing a fingerprint scanner included in an image input unit of the fingerprint recognition device illustrated in FIG. 1 and first to fourth fingerprints obtained from each of the first to fourth images.

3A shows that the image input unit 110 obtains images through the fingerprint scanner 310. Referring to FIG. 3A, the fingerprint recognition apparatus 100 scans four fingers placed on the fingerprint scanner 310 by a user to scan images 321, 322, 323, and 324 corresponding to each of the four fingers. Get In this case, the fingerprint scanner 310 may perform four scan operations to obtain images for each of the four fingers. That is, the image input unit 110 may receive the images 321, 322, 323, and 324 corresponding to one finger one by one.

3B to 3E illustrate the first image 321, the second image 322, the third image 323, and the fourth image 324 that the image input unit 110 receives from the user.

Referring to FIG. 3B, all four fingers are included in the first image 321. The image input unit 110 obtains the first fingerprint 331 from the first image 321 including all four fingers.

Referring to FIG. 3C, all four fingers are also included in the second image 322. The image input unit 110 obtains the second fingerprint 332 from the second image 322 including all four fingers.

Referring to FIG. 3D, all four fingers are also included in the third image 323. The image input unit 110 obtains the third fingerprint 333 from the third image 323 including all four fingers.

Referring to FIG. 3E, all four fingers are also included in the fourth image 324. The image input unit 110 obtains the fourth fingerprint 334 from the fourth image 324 including all four fingers.

3B to 3E, the first fingerprint 331 in the first image 321, the second fingerprint 332 in the second image 322, the third fingerprint 332 and the fourth in the third image 323. In the image 324, it is described that each of the fourth fingerprints 334 is obtained. However, in another embodiment, when the fingerprint capture for the first fingerprint 331 is not performed, the controller 160 is any one of the second image 322, the third image 323, and the fourth image 324. The image input unit 110 may be controlled to reacquire the first fingerprint 331 ′ from the image. In FIG. 3C, the first fingerprint 331 ′ obtained again is illustrated.

4 is a view for explaining another example of the fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG. 1.

The user interface 120 receives the number of images to be input from the user (step S410). In an embodiment, the number of images input by the image input unit 110 through the fingerprint scanner 310 may be input through the user interface 120. For example, if a user wants to input five images into the image input unit 110, the user may input '5' to the fingerprint recognition device 100 using a button (not shown) provided in the user interface unit 120. You can enter

4 illustrates a case where the number of images is '4'. In addition, in FIG. 4, it is assumed that the fingerprint recognition apparatus 100 converts the same number of fingerprints into fingerprint data as the number of images input from the user.

When the number of images to be input through the image input unit 110 is determined, the image input unit 110 receives the first to fourth images from the user (step S420). The image input unit 110 may obtain first to fourth images corresponding to each of the fingers by scanning the fingers placed on the fingerprint scanner 310 by the user using the fingerprint scanner 310.

The image input unit 110 obtains the first to fourth fingerprints from each of the first to fourth images (step S430). As in FIG. 2, the image input unit 110 of FIG. 4 includes a first fingerprint corresponding to the thumb from the first image, a second fingerprint corresponding to the index finger from the second image, and a second finger corresponding to the middle finger from the third image. It is assumed that a fourth fingerprint corresponding to the ring finger is obtained from the third fingerprint and the fourth image.

When the first to fourth fingerprints are obtained, the quality checking unit 130 performs a quality check on the N (N is a natural number) fingerprint (step S440).

When the quality check is completed, the controller 160 determines whether to perform fingerprint capture for the Nth fingerprint (step S450). If the quality check result of the Nth fingerprint is 'success', the controller 160 determines to perform fingerprint capture, and if it fails, determines that the fingerprint capture is not performed. In this case, N represents the order of fingerprints in which the quality check is performed. If the quality check on the second fingerprint among the first to fourth fingerprints is performed first, the second fingerprint is the first (N = 1) th fingerprint. Becomes

If it is determined in step S450 that fingerprint capture is not performed (step S450: No), the image input unit 110 reacquires the Nth fingerprint again from an image other than the image obtained with the Nth fingerprint (step S450: No). S470). For example, if the quality check result of the second fingerprint obtained with the first fingerprint is 'failure', the controller 160 determines not to perform fingerprint capture for the first fingerprint. In addition, the controller 160 controls the image input unit 110 to reacquire the second fingerprint from any one of images other than the second image from which the second fingerprint is obtained. For example, the image input unit 110 reacquires the second fingerprint from any one of the first image, the third image, and the fourth image. In addition, if the N-th fingerprint is obtained again, the quality checking unit 130 performs a quality check on the re-acquired N-th fingerprint (step S440).

If it is determined in step S450 that fingerprint capture is performed (step S450: Yes), the fingerprint capture unit 140 performs fingerprint capture on the Nth fingerprint. Thereafter, the controller 160 determines whether N is equal to the number of images input from the user in step S410 (step S480). Since the fingerprint recognition method of FIG. 4 is for acquiring fingerprint data as many as the number of images input from the user, N is preferably the number of images.

If N is equal to the number of images (step S480: Yes), the controller 160 ends the fingerprint recognition operation. If N is equal to the number of images, all fingerprint data corresponding to each of the four fingers is obtained from the first to fourth fingerprints. Accordingly, the controller 160 may store fingerprint data corresponding to each of the four fingers in the memory 150 and terminate the fingerprint recognition operation.

On the other hand, when N is not equal to the number of images, the fingerprint data corresponding to each of the four fingers is not obtained. Therefore, if N is not equal to the number of images (step S480: No), the controller 160 increases N to N + 1 (N = N + 1) (step S490) and checks the quality of the Nth fingerprint. Is performed again (step S440).

In FIG. 4, the fingerprint recognition device 100 obtains the same number of fingerprint data as the number of images input from the user. However, in another embodiment, the user interface 120 may not only print the number of images from the user, but also the fingerprint data. You can also enter the number. For example, the user interface 120 may be requested by the user to recognize three fingerprint data of a thumb, index finger, and middle finger of the user's right hand. In addition, the user interface 120 may receive an input from the user to receive five images in order to recognize fingerprint data corresponding to each of the thumb, the index finger, and the middle finger. Accordingly, the fingerprint recognition apparatus 100 may obtain five images from the user in order to recognize three fingerprints according to a user input.

In another embodiment, when the user's finger is placed on the fingerprint scanner 310 by the user, as shown in FIG. 3, the fingerprint recognition apparatus 100 may determine the number of images through the image obtained through the first scan operation. You can also decide. For example, if four fingers are placed in the fingerprint scanner 310 by the user, the image input unit 110 performs the first scan operation to obtain the first image 321. When the first image 321 is obtained, the controller 160 may determine that the user should obtain images for each of the four fingers through the first image 321. Therefore, the controller 160 controls the image input unit 110 so that the fingerprint scanner 310 can perform the second scan operation to obtain the second to fourth images.

5 is a view for explaining another example of the fingerprint recognition method in the fingerprint recognition apparatus disclosed in FIG.

According to an exemplary embodiment, the fingerprint recognition apparatus 100 may obtain a plurality of fingerprints from one image, and convert only the fingerprint having the highest quality among the obtained plurality of fingerprints into fingerprint data. In an embodiment, the fingerprint recognition apparatus 100 first receives one image from a user, obtains a plurality of fingerprints from the received one image, and repeats the process of converting only one fingerprint among the plurality of fingerprints into fingerprint data. can do.

First, the image input unit 110 receives an M (M is a natural number) image from a user (step S510). The image input unit 110 may obtain a M-th image corresponding to any one of the fingers by scanning the fingers placed on the fingerprint scanner 310 by the user using the fingerprint scanner 310.

The image input unit 110 obtains the first to fourth fingerprints from the Mth image (step S520). In an embodiment, the fingerprint recognition apparatus 100 may obtain all of the first to fourth fingerprints from one image.

When the first to fourth fingerprints are obtained, the quality checking unit 130 performs a quality check on each of the first to fourth fingerprints (step S530). When the quality check is completed, the controller 160 determines whether to perform fingerprint capture for the Nth fingerprint (step S540).

If the quality check result of the Nth fingerprint is 'success', the controller 160 determines to perform fingerprint capture, and if it fails, determines that the fingerprint capture is not performed. N represents the order of fingerprints in which the quality check is performed. If the quality check for the second fingerprint among the first to fourth fingerprints is performed first, the second fingerprint is the first (N = 1) th fingerprint. do.

In an exemplary embodiment, the control unit 160 of the fingerprint recognition apparatus 100 may refer to a result of the quality check performed by the quality checker 130 on each of the first to fourth fingerprints, and thus may be one of the first to fourth fingerprints. Can be selected to perform fingerprint capture. Accordingly, the controller 160 selects the fingerprint having the best quality check result (eg, the fingerprint having the highest contrast between the ridge and the valley of the fingerprint) while the quality check result of the quality check unit 130 is 'success'. The fingerprint recognition device 100 may be controlled to perform fingerprint capture. In addition, the quality checker 130 may calculate the brightness contrast between the ridges and valleys of each fingerprint in a specific value during the quality check process.

For example, it is assumed that the brightness contrast between the ridge and valley of the fingerprint is converted into a contrast value of 1 to 100, and the quality check result is 'success' only for the fingerprint having a contrast value of 70 or more. In addition, it is assumed that the quality check results of the first and second fingerprints are 'failure', and the third and fourth fingerprints are 'success'. If the contrast value of the third fingerprint is 75 and the contrast value of the fourth fingerprint is 90, the controller 160 may determine to perform a fingerprint capture operation of the fourth fingerprint.

If it is determined in step S450 that fingerprint capture is not performed (step S540: No), the image input unit 110 increases M to M + 1 to obtain an image from the user again (M = M + 1) ( In step S580, the M-th image is received (step S510).

If it is determined in step S540 that fingerprint capture is performed (step S540: Yes), the fingerprint capture unit 140 performs fingerprint capture on the Nth fingerprint (step S550). Thereafter, the controller 160 determines whether N = 4 (step S560). Since the fingerprint recognition method of FIG. 5 relates to a method of recognizing fingerprints from four fingers, N is preferably the number of fingers to be recognized.

If the determination result in step S560 is N = 4 (step S560: Yes), the controller 160 terminates the fingerprint recognition operation. If N = 4, all fingerprint data corresponding to each of the four fingers is obtained. Accordingly, the controller 160 may store fingerprint data corresponding to each of the four fingers in the memory 150 and terminate the fingerprint recognition operation.

On the other hand, when N = 4, the fingerprint data corresponding to each of the four fingers is not obtained. Therefore, if N = 4 (step S560: No), the controller 160 increases N to N + 1 (N = N + 1) (step S570) and sets M to obtain an image for recognizing a fingerprint. Increment to M + 1 (M = M + 1) (step S580). Thereafter, the image input unit 110 receives an M-th image from the user (step S510).

The disclosed technique may have the following effects. It is to be understood, however, that the scope of the disclosed technology is not to be construed as limited thereby, as it is not meant to imply that a particular embodiment should include all of the following effects or only the following effects.

The fingerprint recognition method and the fingerprint recognition apparatus according to an embodiment may obtain fingerprints for different distinct fingers from each of the plurality of images. In addition, the quality of fingerprints may be guaranteed by performing a quality check on fingerprints obtained from each of the plurality of images. In an embodiment, when the quality check on the fingerprint obtained from one image fails, the fingerprint recognition device may maintain the quality of the fingerprint by newly obtaining the fingerprint from another image. In addition, the fingerprint recognition method according to the embodiment may first select a fingerprint having excellent quality by performing a quality check.

The fingerprint recognition method according to another embodiment may receive as many images as the user wants by receiving the number of images for fingerprint recognition from the user.

It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the present invention as defined by the following claims It can be understood that

Claims (28)

Obtaining a plurality of images within a certain time;
Obtaining fingerprints for different distinct fingers from each of the plurality of images;
Performing a quality check on the obtained separate fingerprint; And
Determining whether to perform fingerprint capture based on the performed quality check. The method of claim 1,
If the quality check fails, obtaining a fingerprint for the finger from an image other than the image containing the obtained separate fingerprint. The method of claim 1, wherein performing the quality check comprises:
And checking the image quality of each of the obtained separate fingerprints, and if the image quality is equal to or greater than a predetermined criterion, determining the quality check result of the corresponding fingerprint as success. The method of claim 3,
Checking at least one of a ratio of noise included in each of the obtained separate fingerprints, a sharpness of each of the fingerprints, and a resolution of each of the fingerprints; Fingerprint recognition method characterized in that to check the image quality. The method of claim 1, wherein performing the quality check comprises:
Fingerprint recognition, characterized in that to check the contrast between the ridge (valley) and the valley (valley) included in each of the fingerprints, and if the contrast is more than a predetermined criterion to determine the success of the quality check result of the fingerprint Way. Receiving a number of images to be obtained from a user;
Obtaining a plurality of images within a specific time by the number of the input images;
Obtaining fingerprints for different distinct fingers from each of the plurality of images;
Performing a quality check on the obtained separate fingerprint; And
Determining whether to perform fingerprint capture based on the performed quality check. The method of claim 6,
If the quality check fails, obtaining a fingerprint for the finger from an image other than the image containing the obtained separate fingerprint. The method of claim 6, wherein performing the quality check comprises:
And checking the image quality of each of the obtained separate fingerprints, and if the image quality is equal to or greater than a predetermined criterion, determining the quality check result of the corresponding fingerprint as success. The method of claim 8,
The image quality of each of the obtained separate fingerprints is checked by checking at least one of a ratio of noise included in each of the obtained separate fingerprints, a sharpness of each of the fingerprints, and a resolution of each of the fingerprints. Recognition method. The method of claim 6, wherein performing the quality check comprises:
And checking the contrast between the ridges and the valleys included in each of the fingerprints, and if the contrast is greater than or equal to a predetermined criterion, determining the quality check result of the fingerprint as success. Obtaining one image from a user within a certain time;
Obtaining fingerprints for different distinct fingers from the image;
Performing a quality check on the obtained separate fingerprints; And
Determining whether to perform fingerprint capture for any of the obtained distinct fingerprints based on the quality check performed. The method of claim 11,
If the quality check fails, obtaining another image from the user within the specific time. The method of claim 11, wherein performing the quality check comprises:
And checking the image quality of each of the obtained separate fingerprints, and if the image quality is equal to or greater than a predetermined criterion, determining the quality check result of the corresponding fingerprint as success. The method of claim 13,
And in the case where two or more fingerprints of which the quality check result is successful are determined to perform fingerprint capture on the fingerprint having the best image quality. The method of claim 13, wherein performing the quality check comprises:
The image quality of each of the obtained separate fingerprints is checked by checking at least one of a ratio of noise included in each of the obtained separate fingerprints, a sharpness of each of the fingerprints, and a resolution of each of the fingerprints. Recognition method. The method of claim 11, wherein performing the quality check comprises:
And checking the contrast between the ridges and the valleys included in each of the fingerprints, and if the contrast is greater than or equal to a predetermined criterion, determining the quality check result of the fingerprint as success. The method of claim 16, wherein determining whether to perform the fingerprint capture,
And if there are two or more fingerprints for which the quality check result is successful, determining that fingerprint capture is performed for the fingerprint having the best contrast. Obtaining the number of fingerprints by obtaining an image;
Obtaining a plurality of images by the number of fingerprints, wherein the plurality of images may comprise the obtained image;
Obtaining fingerprints for different distinct fingers from each of the obtained plurality of images;
Performing a quality check on the obtained separate fingerprint; And
Determining whether to perform fingerprint capture based on the performed quality check. The method of claim 18,
If the quality check fails, obtaining a fingerprint for the finger from an image other than the image containing the obtained separate fingerprint. The method of claim 18, wherein performing the quality check,
And checking the image quality of each of the obtained separate fingerprints, and if the image quality is equal to or greater than a predetermined criterion, determining the quality check result of the corresponding fingerprint as success. The method of claim 20,
The image quality of each of the obtained separate fingerprints is checked by checking at least one of a ratio of noise included in each of the obtained separate fingerprints, a sharpness of each of the fingerprints, and a resolution of each of the fingerprints. Recognition method. The method of claim 18, wherein performing the quality check,
And checking the contrast between the ridges and the valleys included in each of the fingerprints, and if the contrast is greater than or equal to a predetermined criterion, determining the quality check result of the fingerprint as success. An image input unit which receives a plurality of images within a specific time and obtains a fingerprint for a different distinct finger from each of the plurality of images;
A quality checker which performs a quality check on the obtained separate fingerprint;
A controller for determining whether to perform fingerprint capture based on the performed quality check; And
And a fingerprint capture unit configured to perform the fingerprint capture according to the determination of the controller. The method of claim 23, wherein the control unit,
And if the quality check fails, controlling the image input unit to obtain a fingerprint for the finger from an image other than the image containing the obtained separate fingerprint. The method of claim 23, wherein the quality check unit,
And checking the image quality of each of the obtained separate fingerprints, and if the image quality is equal to or greater than a predetermined criterion, determining the quality check result of the corresponding fingerprint as success. The method of claim 25, wherein the quality check unit,
The image quality of each of the obtained separate fingerprints is checked by checking at least one of a ratio of noise included in each of the obtained separate fingerprints, a sharpness of each of the fingerprints, and a resolution of each of the fingerprints. Recognition device. The method of claim 23, wherein the quality check unit,
And checking the contrast between the ridges and the valleys included in each of the fingerprints, and if the contrast is greater than or equal to a predetermined criterion, determining a result of the quality check of the fingerprint as success. The method of claim 23, wherein
Further comprising a user interface for receiving the number of images to be obtained from the user,
And the image input unit obtains a plurality of images within a specific time as many as the number of images input through the user interface unit.

Images