CN117436886A - Fingerprint identification method, fingerprint identification device, computer equipment, storage medium and program product - Google Patents
Fingerprint identification method, fingerprint identification device, computer equipment, storage medium and program product Download PDFInfo
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Abstract
The present application relates to a fingerprint identification method, apparatus, computer device, storage medium and program product. The method comprises the following steps: determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in the resource transfer request sent by the target equipment; transmitting a target finger mark to target equipment; receiving a fingerprint image sent by target equipment based on a target finger mark; determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation; and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark. The method can improve the efficiency of identity information verification of the target user.
Description
Technical Field
The present disclosure relates to the field of fingerprint identification technologies, and in particular, to a fingerprint identification method, apparatus, computer device, storage medium, and program product.
Background
With the development of computer technology, users can log in an online platform of a bank through equipment such as a smart phone, so that resource transfer is completed, and great convenience is provided for life of the users.
At present, when a user transfers resources, an account number and a password are required to be input on an online platform of a bank to finish verification of identity information, or the identity information of the user can be verified in a short message verification code mode, so that the resource transfer operation is performed. However, the method of identity verification through account numbers and passwords or short message verification codes is low in efficiency.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a fingerprint identification method, apparatus, computer device, storage medium, and program product that can improve the efficiency of authentication of a target user.
In a first aspect, the present application provides a fingerprint identification method. The method comprises the following steps:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
transmitting the target finger mark to the target device;
receiving a fingerprint image sent by the target device based on the target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
And determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In one embodiment, the determining the fingerprint identification result of the target user according to the fingerprint image and the target fingerprint feature sample corresponding to the target finger identifier includes:
extracting fingerprint features of the fingerprint image, and determining fingerprint features corresponding to the fingerprint image;
comparing the fingerprint feature with the target fingerprint feature sample, and determining a comparison result;
and determining the fingerprint identification result of the target user according to the comparison result.
In one embodiment, the determining the fingerprint identification result of the target user according to the comparison result includes:
if the fingerprint feature comparison results are successful, the fingerprint identification result of the target user is identification passing.
In one embodiment, the fingerprint feature extraction is performed on the fingerprint image, and determining the fingerprint feature corresponding to the fingerprint image includes:
performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image;
determining a binarized image of the gray scale image;
And extracting the characteristics of the binarized image, and determining the fingerprint characteristics corresponding to the fingerprint image.
In one embodiment, the determining the binarized image of the gray scale image comprises:
amplifying the gray level image by using an interpolation method, and determining an amplified image after the amplifying;
performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image;
the binarized image is determined from the first bit-plane image and the second bit-plane image.
In one embodiment, the bit-plane decomposing the enlarged image to determine a first bit-plane image and a second bit-plane image includes:
performing bit plane decomposition on the amplified image based on the binary value of the gray value of each pixel point in the amplified image to obtain a bit plane image corresponding to the bit at the same position in each binary value;
taking a bit plane image corresponding to the highest bit as the first bit plane image;
and taking a bit plane image corresponding to the next bit of the highest bit as the second bit plane image.
In one embodiment, the performing gray scale image conversion on the fingerprint image to determine a gray scale image of the fingerprint image includes:
Performing filtering processing and normalization processing on the fingerprint image to obtain a processed fingerprint image;
and carrying out gray level image conversion on the processed fingerprint image to obtain the gray level image.
In a second aspect, the present application further provides a fingerprint identification device. The device comprises:
the first determining module is used for determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in the resource transfer request sent by the target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
the sending module is used for sending the target finger mark to the target equipment;
the receiving module is used for receiving the fingerprint image sent by the target device based on the target finger mark;
the second determining module is used for determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
and the third determining module is used for determining the fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
Determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
transmitting the target finger mark to the target device;
receiving a fingerprint image sent by the target device based on the target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
Transmitting the target finger mark to the target device;
receiving a fingerprint image sent by the target device based on the target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
transmitting the target finger mark to the target device;
receiving a fingerprint image sent by the target device based on the target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
And determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
According to the fingerprint identification method, the fingerprint identification device, the computer equipment, the storage medium and the program product, the target finger identification under the target user identification is determined according to the target user identification and the preset corresponding relation in the resource transfer request sent by the target equipment, and then the target finger identification is sent to the target equipment; receiving a fingerprint image sent by target equipment based on a target finger mark; determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation; and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark. In the conventional technology, the identity information of the user is verified in a mode of an account number and a password or a short message verification code, so that the efficiency is low. The verification efficiency of the identity information of the user is improved.
Drawings
FIG. 1 is an internal block diagram of a computer device provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a fingerprint identification method according to an embodiment of the present application;
fig. 3 is a flowchart of a method for determining a fingerprint identification result according to an embodiment of the present application;
fig. 4 is a flowchart of a fingerprint feature determining method according to an embodiment of the present application;
fig. 5 is a schematic flow chart of a binarized image determining method according to an embodiment of the present application;
FIG. 6 is a flowchart of a bit-plane image determining method according to an embodiment of the present application;
fig. 7 is a flowchart of a gray image determining method according to an embodiment of the present application;
fig. 8 is a block diagram of a fingerprint identification apparatus according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 1. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, fig. 2 is a flow chart of a fingerprint identification method provided in the embodiment of the present application, and the method is applied to the computer device in fig. 1 for illustration, and includes the following steps:
s201, determining a target finger identifier under a target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between the finger mark and the fingerprint characteristic sample under the user mark.
The user identifier may be account information of the user at the bank, and the finger identifier may be a name of each finger, for example, "index finger", "middle finger", "ring finger", or the like, or may use a symbol such as an letter or a number as the finger identifier of each finger.
If the target user needs to transfer resources from the online platform of the bank, a resource transfer request can be sent to the computer equipment of the bank through the target equipment, the resource transfer request comprises the quantity of resources to be transferred and the user identification of the target user, a preset corresponding relation between the user identification of the user and the user identification of the user is stored in a storage system of the bank, and the preset corresponding relation comprises a corresponding relation between the finger identification under the user identification and the fingerprint feature sample corresponding to the finger identification. For example, the preset correspondence M corresponding to the user identifier "00001" of the target user is shown in table 1:
TABLE 1
| Fingerprint characteristics | X1 | X2 | X3 | X4 | X5 |
| Finger mark | Thumb of thumb | Index finger | Middle finger | Ring finger | Little finger |
The preset corresponding relation M of the target user is determined according to the user identification '00001' of the target user, the target finger identification is determined from the preset corresponding relation M, and the target finger identification can be one finger identification or can be a finger identification sequence formed by a plurality of finger identifications. For example, in some embodiments, the determined target finger identification may be { "thumb", "middle finger", "ring finger" }. The target finger identifier is a randomly generated finger identifier, i.e. the target finger identifier corresponding to each resource transfer request may be different. The preset correspondence may be stored in a storage system of the computer device, or the preset correspondence may be stored in a cloud storage platform.
S202, sending the target finger mark to the target device.
In this embodiment, after determining the target finger identifier, the target finger identifier is sent to the target device, and the target finger identifier may be sent to the target device by means of text. If the target finger mark is the target finger mark sequence, all the finger marks in the target finger mark sequence can be sent to the target device at one time, or the finger marks can be sequentially sent to the target device. In some embodiments, optionally, a prompt voice corresponding to each target finger identifier may also be sent to the target device in a voice manner. Or, the fingerprint image uploading interfaces corresponding to the target finger identifiers can be sent in the mode of the application program interface, and the user can click the fingerprint image uploading interfaces corresponding to the target finger identifiers through the target equipment to upload the fingerprint images corresponding to the target finger identifiers.
S203, receiving the fingerprint image sent by the target device based on the target finger mark.
The target user can send the fingerprint image corresponding to the target finger mark to the computer equipment according to the target finger mark sent by the computer equipment of the bank.
S204, determining a target fingerprint feature sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation.
For example, according to the target finger identifier and the preset correspondence, determining a target fingerprint feature sample corresponding to the target finger identifier, for example, the target finger identifier is { "thumb", "middle finger", "ring finger" }, and determining the fingerprint feature "X1" corresponding to the "thumb", "fingerprint feature" X3 "corresponding to the middle finger" and the fingerprint feature "X4" corresponding to the "ring finger" as the target fingerprint feature sample.
S205, determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In this embodiment, after obtaining fingerprint images corresponding to each target finger identifier, feature extraction is performed on the fingerprint images corresponding to each target finger identifier, fingerprint features corresponding to each target finger identifier are determined, fingerprint features corresponding to each target finger identifier and fingerprint feature samples corresponding to each target finger identifier are compared, and a comparison result corresponding to each target finger identifier is determined, if the comparison result is that the number of successfully compared results is equal to or greater than a preset number, the fingerprint identification result of the target user is that fingerprint identification does not pass. In combination with the above description, the preset number is set to be 2, if the comparison result of the fingerprint feature corresponding to the "thumb" and the fingerprint feature sample is that the comparison is successful, the comparison result of the fingerprint feature corresponding to the "middle finger" and the fingerprint feature sample is that the comparison is successful, and the comparison result of the fingerprint feature corresponding to the "ring finger" and the fingerprint feature sample is that the comparison is unsuccessful, at this time, since the number of the finger identifiers that are successfully compared is 2 and is equal to the preset number 2, the fingerprint identification result of the target user is that the verification is passed. At this time, the resource transfer is performed according to the number of resource transfers in the resource transfer demands of the target users.
According to the fingerprint identification method, the fingerprint identification device, the computer equipment, the storage medium and the program product, the target finger identification under the target user identification is determined according to the target user identification and the preset corresponding relation in the resource transfer request sent by the target equipment, and then the target finger identification is sent to the target equipment; receiving a fingerprint image sent by target equipment based on a target finger mark; determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation; and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark. In the conventional technology, the identity information of the user is verified in a mode of an account number and a password or a short message verification code, so that the efficiency is low. The verification efficiency of the identity information of the user is improved.
Fig. 3 is a flowchart of a method for determining a fingerprint identification result according to an embodiment of the present application, where the embodiment relates to a possible implementation manner of determining a fingerprint identification result of a target user according to a fingerprint image and a target fingerprint feature sample corresponding to a target finger mark, and on the basis of the foregoing embodiment, as shown in fig. 3, the step S205 may include the following steps:
S301, extracting fingerprint features of the fingerprint image, and determining the fingerprint features corresponding to the fingerprint image.
In this embodiment, the fingerprint features of the fingerprint image may be extracted by using a preset feature extraction algorithm, and the fingerprint features corresponding to the fingerprint image may be determined, where the preset feature extraction algorithm may include at least one of a linear back projection algorithm (Local Binary Patterns, LBP), a direction gradient histogram (Histogram of Oriented Gradient, HOG) algorithm, and a Scale-invariant feature transform (Scale-invariant feature transform, SIFT) algorithm.
S302, comparing the fingerprint characteristics with the target fingerprint characteristic sample, and determining a comparison result.
The target fingerprint feature sample is a fingerprint feature obtained by extracting features of a fingerprint image sample of a target user by using a preset extraction algorithm. Comparing the fingerprint feature with the target fingerprint feature sample, determining the difference value of the fingerprint feature and the target fingerprint feature sample, if the difference value of the fingerprint feature and the target fingerprint feature sample is smaller than or equal to a preset difference threshold value, determining that the comparison result of the fingerprint feature and the target fingerprint feature sample is successful, and if the difference value of the fingerprint feature and the target fingerprint feature sample is larger than the preset difference value, determining that the comparison result of the fingerprint feature and the target fingerprint feature sample is unsuccessful.
S303, determining a fingerprint identification result of the target user according to the comparison result.
Illustratively, the fingerprint identification result of the target user is determined according to the comparison result corresponding to each target fingerprint identification. If the number of the target fingerprint marks is one, the comparison result of the target fingerprint marks is that the comparison is successful, the fingerprint identification result of the target user is that the identification is unsuccessful, if the number of the target fingerprint marks is a plurality of target fingerprint marks, at this time, if the comparison result is that the number of the target fingerprint marks which are successfully compared is greater than the number of the target fingerprint marks which are not successfully compared, the fingerprint identification result of the target user is that the identification is passed, otherwise, the fingerprint identification result of the target user is that the identification is not passed. In combination with the above examples, the target fingerprint is { "thumb", "middle finger", "ring finger" }, if the comparison result corresponding to "thumb" is successful, the comparison result corresponding to "middle finger" is successful, and the comparison result corresponding to "ring finger" is failed. And as the comparison result is that the number of the target fingerprint identifications which are successfully compared is 2 and the comparison result is that the number of the target fingerprint identifications which are unsuccessfully compared is 1, the fingerprint identification result of the target user is that the identification is not passed. If the fingerprint identification result of the target user is that the identification is not passed, sending prompt information that the fingerprint identification result is that the identification is not passed to the target equipment, wherein the prompt information can be words or voices or a combination of words and voices.
In some embodiments, optionally, if the fingerprint identification result of the target user is that the fingerprint identification is failed, the prompt information of re-inputting the fingerprint image is sent to the target device, and then the fingerprint identification process is performed again, until the number of times of fingerprint identification is greater than the preset number of times, and then the prompt information that the fingerprint identification is failed is sent to the target device.
In the embodiment of the application, fingerprint characteristics corresponding to the fingerprint image are determined by extracting the fingerprint characteristics of the fingerprint image, the fingerprint characteristics are compared with the target fingerprint characteristic sample, the comparison result is determined, and then the fingerprint identification result of the target user is determined according to the comparison result. The efficiency of the identity verification of the target user is improved.
In one embodiment, in S303, according to the comparison result, determining the fingerprint identification result of the target user may be implemented in the following manner:
if the comparison results of the fingerprint features are successful, the fingerprint identification result of the target user is that the identification is passed.
In this embodiment, if the comparison results of the fingerprint features are all successful, the fingerprint identification result of the target user is that the identification is passed, otherwise, the fingerprint identification result of the target user is that the identification is not passed. For example, the target fingerprint identifier is { "thumb", "middle finger", "ring finger" }, if the comparison result corresponding to "thumb" is successful, the comparison result corresponding to "middle finger" is successful, and the comparison result corresponding to "ring finger" is successful, at this time, the fingerprint identification result is passing, otherwise, the fingerprint identification result is not passing.
In the embodiment of the application, the fingerprint identification result of the user is determined through the comparison result of the fingerprint features, and if the comparison result of the fingerprint features is successful, the fingerprint identification result of the target user is identification passing, so that the accuracy of the identity verification of the target user is improved.
In one embodiment, fig. 4 is a flowchart of a fingerprint feature determining method provided in the embodiment of the present application, which relates to a possible implementation manner of extracting a fingerprint feature of a fingerprint image and determining a fingerprint feature corresponding to the fingerprint image, on the basis of the above embodiment, as shown in fig. 4, the step S301 may include the following steps:
s401, performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image.
In this embodiment, after receiving the fingerprint image sent by the target device, the computer device performs gray-scale image conversion on the fingerprint image, and specifically, any one algorithm of an average method, a maximum method, or a weighted average method may be used to process the red channel, the green channel, and the blue channel of each pixel point in the fingerprint image, so that the pixel values of the red channel, the blue channel, and the green channel of each pixel point are equal. The average method can be represented by the following relation:
R1(x)＝G1(x)＝B1(x)＝max(R(x)，G(x)，B(x))
Wherein R1 (x), G1 (x) and B1 (x) are respectively the pixel value of the red channel, the pixel value of the green channel and the pixel value of the blue channel of the pixel point x in the gray image, and R (x), G (x) and B (x) are respectively the pixel value of the red channel, the pixel value of the green channel and the pixel value of the blue channel of the pixel point x in the fingerprint image.
The maximum value method indicates that the pixel value of each channel in the converted gray-scale image is equal to the average value of the pixel values of each channel, and can be represented by the following relation:
R1(x)＝G1(x)＝B1(x)＝(R(x)+G(x)+B(x))/3
the weighted average method indicates that the pixel value of each channel in the converted gray-scale image is equal to the weighted average of the pixel values of each channel, and can be represented by the following relation:
R1(x)＝G1(x)＝B1(x)＝(aR(x)+bG(x)+cB(x))/3
wherein a, b and c are preset weight coefficients.
S402, determining a binarized image of the gray scale image.
In this embodiment, after determining the gray level image of the fingerprint image, binarizing the gray level image to obtain a binarized image of the gray level image. Specifically, the gray image may be converted by a threshold conversion method, a binary image of the gray image is determined, that is, a preset pixel threshold is set, a pixel value of each pixel in the gray image is obtained, a pixel value of a pixel with a pixel value greater than the preset pixel threshold is 225, a pixel value of a pixel with a pixel value less than the preset pixel threshold is 0, and a binary image of the gray image is obtained, for example, the preset pixel threshold is 100, a pixel value of a pixel x in the gray image is 150, a pixel value of a pixel y is 45, a pixel value of the x point is 225, and a pixel value of the y point is 0, so as to obtain pixel values of the x point and the y point in the binary image.
S403, extracting features of the binarized image, and determining fingerprint features corresponding to the fingerprint image.
After the binarized image is obtained, feature extraction is carried out according to a feature extraction algorithm, fingerprint features corresponding to the fingerprint image are determined, wherein the fingerprint features can be pixel matrixes formed by pixel values of all pixel points in the binarized image. In some embodiments, optionally, the fingerprint feature may also be a sequence formed by multiplying a pixel value of each pixel point in the binarized image by a second preset coefficient to obtain a product result. For example, in a binarized image, there are 5 pixels x, y, z, m, n, the pixel value of the pixel x is 0, the pixel value of the pixel y is 1, the pixel value of the pixel z is 1, the pixel value of the pixel m is 0, and the pixel value of the pixel n is 1, and the fingerprint feature may be 01101.
According to the embodiment of the application, the gray level image corresponding to the fingerprint image is determined by carrying out gray level image conversion on the fingerprint image, the binary image of the gray level image is determined, the feature extraction is carried out on the binary image, the fingerprint feature corresponding to the fingerprint image is determined, and the accuracy of the determined fingerprint feature is improved.
In one embodiment, fig. 5 is a flowchart of a binary image determining method provided in the embodiment of the present application, which relates to a possible implementation manner of determining a binary image of a gray scale image, on the basis of the above embodiment, as shown in fig. 5, the step S402 may include the following steps:
S501, the gray-scale image is enlarged by interpolation, and the enlarged image after the enlargement is determined.
S502, carrying out bit plane decomposition on the amplified image to determine a first bit plane image and a second bit plane image.
S503, determining a binarized image according to the first bit plane image and the second bit plane image.
In this embodiment, the gray-scale image may be amplified by a nearest neighbor interpolation method, a bilinear interpolation method, and a bicubic interpolation method, to obtain an amplified image after the amplification. Further, the bit plane of the amplified image is decomposed by a bit plane decomposition algorithm, and the amplified image may be bit plane decomposed by a binary bit plane decomposition method (Binary Bitplane Decomposition Algorithm, BBDA) to obtain each bit plane image corresponding to the amplified image, or the amplified image may be bit plane decomposed by a gray code bit plane decomposition method (Gray code bit plane decomposition, GCBD) to obtain each bit plane image corresponding to the amplified image, or the amplified image may be bit plane decomposed by a truncated fibonacci P-code bit plane decomposition method (Truncated Fibonacci P code plane decomposition, TFPBD) to obtain each bit plane image corresponding to the amplified image.
And selecting two images from each bit plane image as a first bit plane image and a second bit plane image, and synthesizing the first bit plane image and the second bit plane image to obtain a binarized image corresponding to the gray level image.
In the embodiment of the application, the gray level image is amplified by utilizing the interpolation method, the amplified image after the amplification is determined, and the amplified image is subjected to bit plane decomposition to determine the first bit plane image and the second bit plane image, so that the binarization image is determined according to the first bit plane image and the second bit plane image, and the accuracy of the determined fingerprint identification result is improved.
In one embodiment, fig. 6 is a schematic flow chart of a bit-plane image determining method provided in the embodiment of the present application, where the embodiment relates to a possible implementation manner of performing bit-plane decomposition on an enlarged image to determine a first bit-plane image and a second bit-plane image, and on the basis of the embodiment, as shown in fig. 6, the step S502 may include the following steps:
s601, carrying out bit plane decomposition on the amplified image based on the binary values of the gray values of all pixel points in the amplified image, and obtaining a bit plane image corresponding to the bit at the same position in all binary values.
In this embodiment, the bit plane decomposition may be performed on the amplified image by a binary bit plane decomposition method, so as to obtain a bit plane image corresponding to each binary bit. Specifically, the pixel value of each pixel point in the gray level image is converted into a binary value, and one bit of the binary value of each pixel point is formed into a bit plane image, so that a plurality of bit plane images are obtained, and the number of the bit plane images corresponds to the number of the bits of the binary value. For example, the pixel values of the pixel point x, y, z, m, n correspond to binary values of 00010100, 00111100, 01101110, 10100000, 11010010, respectively. Then, according to the bits of the binary values of the pixels, 8 bit-plane images can be formed, the pixel value of each point of the bit-plane image a is "00011", the pixel value of each point of the bit-plane image B is "00101", the pixel value of each pixel point of the bit-plane image C is "01110", the pixel value of each pixel point of the bit-plane image D is "11001", the pixel value of each pixel point of the bit-plane image E is "01100", the pixel value of each pixel point of the bit-plane F is "11100", the pixel value of each pixel point of the bit-plane G is "00101", and the pixel value of each pixel point of the bit-plane image H is "00000".
And S602, taking a bit plane image corresponding to the highest bit as a first bit plane image.
And S603, taking a bit plane image corresponding to the next bit of the highest bit as a second bit plane image.
Illustratively, the bit-plane image corresponding to the highest bit is taken as the first bit-plane image, and the bit-plane image corresponding to the next bit of the highest bit is taken as the second bit-plane image. The first bit-plane image is bit-plane image a and the second bit-plane image is bit-plane image B, as described in connection with the above examples.
In the embodiment of the application, based on the binary value of the gray value of each pixel point in the amplified image, the amplified image is subjected to bit plane decomposition to obtain a bit plane image corresponding to a bit position at the same position in each binary value, the bit plane image corresponding to the highest bit position is used as a first bit plane image, and the bit plane image corresponding to the next bit position of the highest bit position is used as a second bit plane image. Because the determined first bit plane image is the bit plane image corresponding to the highest bit position, and the second bit plane image is the bit plane image corresponding to the next bit position of the highest bit position, the information of the original fingerprint image contained in the first bit plane image and the second bit plane image is the most comprehensive, and the accuracy of the determined fingerprint identification result is improved.
In one embodiment, fig. 7 is a flowchart of a gray image determining method provided in the embodiment of the present application, where the embodiment relates to how to perform gray image conversion on a fingerprint image, and one possible implementation manner of determining a gray image of the fingerprint image, and on the basis of the foregoing embodiment, as shown in fig. 7, the step S401 may include the following steps:
s701, performing filtering processing and normalization processing on the fingerprint image to obtain a processed fingerprint image.
S702, performing gray level image conversion on the processed fingerprint image to obtain a gray level image.
In this embodiment, before converting a gray level image, filtering and normalizing the collected fingerprint image to obtain a processed fingerprint image, fingerprint segmentation may be performed on the fingerprint image, and calculation of a direction field in the fingerprint segmentation process uses color information of the fingerprint image, and further homomorphic filtering, normalizing and log-gabor filtering are performed on the fingerprint image, where homomorphic filtering is used to enhance contrast between ridges and valleys of the fingerprint image, normalizing is to overcome an influence of illumination intensity in the fingerprint image, and log-gabor filtering is capable of enhancing the fingerprint image and improving definition of the fingerprint image. And carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image.
In some embodiments, before the filtering and normalizing processing are performed on the fingerprint image, the quality of the fingerprint image is evaluated to obtain a fingerprint evaluation result, if the quality evaluation result of the fingerprint image is that the evaluation is passed, the feature extraction is performed on the fingerprint image, and if the quality evaluation result of the fingerprint image is that the evaluation is not passed, a prompt message of unqualified fingerprint image is sent to the target device. The quality evaluation of the fingerprint image may be performed according to the sharpness of the fingerprint image and a preset sharpness threshold, or the quality evaluation of the fingerprint image may be performed according to the signal-to-noise ratio of the fingerprint image and a preset signal-to-noise ratio threshold, or the like.
In the embodiment of the application, the fingerprint image after being processed is obtained by carrying out filtering processing and normalization processing on the fingerprint image; and then carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image. The accuracy of the determined fingerprint identification result is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a fingerprint identification device for realizing the above related fingerprint identification method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the fingerprint recognition device provided below may be referred to the limitation of the fingerprint recognition method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 8, there is provided a fingerprint recognition device 800 comprising: a first determining module 801, a transmitting module 802, a receiving module 803, a second determining module 804, and a third determining module 805, wherein:
a first determining module 801, configured to determine a target finger identifier under a target user identifier according to a target user identifier and a preset corresponding relationship in a resource transfer request sent by a target device; the preset corresponding relation comprises a corresponding relation between a finger mark under the user mark and a fingerprint characteristic sample corresponding to the finger mark;
a sending module 802, configured to send a target finger identifier to a target device;
a receiving module 803, configured to receive a fingerprint image sent by a target device based on a target finger identifier;
A second determining module 804, configured to determine a target fingerprint feature sample corresponding to the target finger identifier according to the target finger identifier and a preset correspondence;
and a third determining module 805, configured to determine a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint feature sample corresponding to the target finger identifier.
In one embodiment, the third determining module 805 includes:
the first determining submodule is used for extracting fingerprint characteristics of the fingerprint image and determining the fingerprint characteristics corresponding to the fingerprint image;
the comparison sub-module is used for comparing the fingerprint characteristics with the target fingerprint characteristic samples and determining comparison results;
and the second determining submodule is used for determining the fingerprint identification result of the target user according to the comparison result.
In one embodiment, the comparing sub-module is specifically configured to, if the comparison result of each fingerprint feature is that the comparison is successful, identify that the fingerprint identification result of the target user passes.
In one embodiment, the first determination submodule includes:
the conversion unit is used for carrying out gray level image conversion on the fingerprint image and determining a gray level image corresponding to the fingerprint image;
a first determination unit configured to determine a binarized image of the gradation image;
And the second determining unit is used for extracting the characteristics of the binarized image and determining the fingerprint characteristics corresponding to the fingerprint image.
In one embodiment, the first determining unit is specifically configured to perform amplification processing on the gray-scale image by using an interpolation method, and determine an amplified image after the amplification processing; performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image; a binarized image is determined from the first bit-plane image and the second bit-plane image.
In one embodiment, the first determining subunit is specifically configured to perform bit plane decomposition on the amplified image based on binary values of gray values of pixels in the amplified image, so as to obtain a bit plane image corresponding to a bit at the same position in each binary value; taking a bit plane image corresponding to the highest bit as a first bit plane image; and taking a bit plane image corresponding to the next bit of the highest bit as a second bit plane image.
In one embodiment, the conversion unit is specifically configured to perform filtering processing and normalization processing on the fingerprint image, so as to obtain a processed fingerprint image; and carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image.
The respective modules in the fingerprint recognition device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in the resource transfer request sent by the target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under the user mark and a fingerprint characteristic sample corresponding to the finger mark;
transmitting a target finger mark to target equipment;
receiving a fingerprint image sent by target equipment based on a target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In one embodiment, the processor when executing the computer program further performs the steps of:
extracting fingerprint features of the fingerprint image, and determining fingerprint features corresponding to the fingerprint image;
comparing the fingerprint characteristics with the target fingerprint characteristic samples, and determining a comparison result;
and determining the fingerprint identification result of the target user according to the comparison result.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the comparison results of the fingerprint features are successful, the fingerprint identification result of the target user is that the identification is passed.
In one embodiment, the processor when executing the computer program further performs the steps of:
performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image;
determining a binarized image of the gray level image;
and extracting the characteristics of the binarized image, and determining the fingerprint characteristics corresponding to the fingerprint image.
In one embodiment, the processor when executing the computer program further performs the steps of:
amplifying the gray level image by using an interpolation method, and determining an amplified image after the amplifying;
performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image;
A binarized image is determined from the first bit-plane image and the second bit-plane image.
In one embodiment, the processor when executing the computer program further performs the steps of:
performing bit plane decomposition on the amplified image based on the binary values of the gray values of all pixel points in the amplified image to obtain a bit plane image corresponding to the bit position at the same position in all binary values;
taking a bit plane image corresponding to the highest bit as a first bit plane image;
and taking a bit plane image corresponding to the next bit of the highest bit as a second bit plane image.
In one embodiment, the processor when executing the computer program further performs the steps of:
performing filtering treatment and normalization treatment on the fingerprint image to obtain a treated fingerprint image;
and carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in the resource transfer request sent by the target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under the user mark and a fingerprint characteristic sample corresponding to the finger mark;
Transmitting a target finger mark to target equipment;
receiving a fingerprint image sent by target equipment based on a target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In one embodiment, the computer program when executed by the processor further performs the steps of:
extracting fingerprint features of the fingerprint image, and determining fingerprint features corresponding to the fingerprint image;
comparing the fingerprint characteristics with the target fingerprint characteristic samples, and determining a comparison result;
and determining the fingerprint identification result of the target user according to the comparison result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the comparison results of the fingerprint features are successful, the fingerprint identification result of the target user is that the identification is passed.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image;
determining a binarized image of the gray level image;
And extracting the characteristics of the binarized image, and determining the fingerprint characteristics corresponding to the fingerprint image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
amplifying the gray level image by using an interpolation method, and determining an amplified image after the amplifying;
performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image;
a binarized image is determined from the first bit-plane image and the second bit-plane image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing bit plane decomposition on the amplified image based on the binary values of the gray values of all pixel points in the amplified image to obtain a bit plane image corresponding to the bit position at the same position in all binary values;
taking a bit plane image corresponding to the highest bit as a first bit plane image;
and taking a bit plane image corresponding to the next bit of the highest bit as a second bit plane image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing filtering treatment and normalization treatment on the fingerprint image to obtain a treated fingerprint image;
And carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in the resource transfer request sent by the target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under the user mark and a fingerprint characteristic sample corresponding to the finger mark;
transmitting a target finger mark to target equipment;
receiving a fingerprint image sent by target equipment based on a target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and a preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
In one embodiment, the computer program when executed by the processor further performs the steps of:
extracting fingerprint features of the fingerprint image, and determining fingerprint features corresponding to the fingerprint image;
comparing the fingerprint characteristics with the target fingerprint characteristic samples, and determining a comparison result;
And determining the fingerprint identification result of the target user according to the comparison result.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the comparison results of the fingerprint features are successful, the fingerprint identification result of the target user is that the identification is passed.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image;
determining a binarized image of the gray level image;
and extracting the characteristics of the binarized image, and determining the fingerprint characteristics corresponding to the fingerprint image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
amplifying the gray level image by using an interpolation method, and determining an amplified image after the amplifying;
performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image;
a binarized image is determined from the first bit-plane image and the second bit-plane image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing bit plane decomposition on the amplified image based on the binary values of the gray values of all pixel points in the amplified image to obtain a bit plane image corresponding to the bit position at the same position in all binary values;
Taking a bit plane image corresponding to the highest bit as a first bit plane image;
and taking a bit plane image corresponding to the next bit of the highest bit as a second bit plane image.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing filtering treatment and normalization treatment on the fingerprint image to obtain a treated fingerprint image;
and carrying out gray level image conversion on the processed fingerprint image to obtain a gray level image.
It should be noted that, user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (11)
1. A method of fingerprint identification, the method comprising:
determining a target finger identifier under a target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
Transmitting the target finger mark to the target device;
receiving a fingerprint image sent by the target device based on the target finger mark;
determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
and determining a fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
2. The method according to claim 1, wherein determining the fingerprint recognition result of the target user according to the fingerprint image and the target fingerprint feature sample corresponding to the target finger mark comprises:
extracting fingerprint features of the fingerprint image, and determining fingerprint features corresponding to the fingerprint image;
comparing the fingerprint characteristics with the target fingerprint characteristic sample, and determining a comparison result;
and determining the fingerprint identification result of the target user according to the comparison result.
3. The method according to claim 2, wherein determining the fingerprint identification result of the target user according to the comparison result comprises:
and if the fingerprint feature comparison results are successful, the fingerprint identification result of the target user is identification passing.
4. The method according to claim 2, wherein the performing fingerprint feature extraction on the fingerprint image to determine fingerprint features corresponding to the fingerprint image includes:
performing gray level image conversion on the fingerprint image, and determining a gray level image corresponding to the fingerprint image;
determining a binarized image of the gray scale image;
and extracting the characteristics of the binarized image, and determining the fingerprint characteristics corresponding to the fingerprint image.
5. The method of claim 4, wherein said determining a binarized image of said gray scale image comprises:
amplifying the gray level image by using an interpolation method, and determining an amplified image after the amplifying;
performing bit plane decomposition on the enlarged image to determine a first bit plane image and a second bit plane image;
the binarized image is determined from the first bit-plane image and the second bit-plane image.
6. The method of claim 5, wherein the bit-plane decomposing the enlarged image to determine a first bit-plane image and a second bit-plane image comprises:
performing bit plane decomposition on the amplified image based on binary values of gray values of all pixel points in the amplified image to obtain bit plane images corresponding to bits at the same position in all the binary values;
Taking a bit plane image corresponding to the highest bit as the first bit plane image;
and taking a bit plane image corresponding to the next bit of the highest bit as the second bit plane image.
7. The method of claim 4, wherein said performing a gray scale map transformation on said fingerprint image to determine a gray scale image of said fingerprint image comprises:
performing filtering treatment and normalization treatment on the fingerprint image to obtain a treated fingerprint image;
and carrying out gray level image conversion on the processed fingerprint image to obtain the gray level image.
8. A fingerprint recognition device, the device comprising:
the first determining module is used for determining a target finger identifier under the target user identifier according to the target user identifier and a preset corresponding relation in a resource transfer request sent by target equipment; the preset corresponding relation comprises a corresponding relation between a finger mark under a user mark and a fingerprint characteristic sample corresponding to the finger mark;
the sending module is used for sending the target finger mark to the target equipment;
the receiving module is used for receiving a fingerprint image sent by the target device based on the target finger mark;
The second determining module is used for determining a target fingerprint characteristic sample corresponding to the target finger mark according to the target finger mark and the preset corresponding relation;
and the third determining module is used for determining the fingerprint identification result of the target user according to the fingerprint image and the target fingerprint characteristic sample corresponding to the target finger mark.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
11. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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