CN113837069A - Finger vein identification method, device, authentication equipment and storage medium - Google Patents
Finger vein identification method, device, authentication equipment and storage medium Download PDFInfo
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- CN113837069A CN113837069A CN202111112239.4A CN202111112239A CN113837069A CN 113837069 A CN113837069 A CN 113837069A CN 202111112239 A CN202111112239 A CN 202111112239A CN 113837069 A CN113837069 A CN 113837069A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
Abstract
The embodiment of the invention provides a method and a device for identifying finger veins, authentication equipment and a storage medium, wherein the method is applied to the authentication equipment, the authentication equipment comprises a finger vein identification device, the finger vein identification device comprises N finger vein acquisition modules, N is more than or equal to 2, and the method comprises the following steps: acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device; performing splicing treatment on the N groups of first local finger vein images to generate M finger vein images, wherein M is more than 1; and comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to a comparison result. Compared with the finger vein image of a single finger, the definition and the recognition degree of the M finger vein image can reduce the influence caused by the placement position and the placement mode of the finger, and the accuracy of finger vein recognition is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of security authentication, in particular to a finger vein identification method, a finger vein identification device, authentication equipment and a storage medium.
Background
The finger vein recognition technology is a biological recognition technology which is most advanced in the world and has high precision and high speed, and personal recognition is performed by using vein grain images obtained after near infrared rays penetrate fingers. Among various biometric techniques, since the biometric technique performs recognition using an internal feature of a living body invisible from the outside, the biometric technique attracts attention as a second-generation biometric technique having high forgery prevention property.
At present, the finger vein recognition technology is widely applied to public field authentication equipment, such as member identification all-in-one machines, bank ATM machines, access control management systems, PC login, automobile lock replacement, safe box management, copier management, electronic payment and other fields needing personal identity authentication. In China, finger vein access control systems and USB type finger vein identification equipment have been developed into many cities.
In the related technology, finger vein recognition adopts fixed near-infrared ray direct projection and a CCD camera to obtain finger vein images of a single finger. However, in the process of acquiring the finger vein image of a single finger, the definition and the recognition degree of the finger vein image are often easily affected by the placement position and the placement mode of the finger, and the accuracy of finger vein recognition is affected.
Disclosure of Invention
In order to solve the technical problem that in the process of acquiring the finger vein image of a single finger, the definition and the recognition degree of the finger vein image are often easily influenced by the placement position and the placement mode of the finger, and the accuracy of finger vein recognition is influenced, the embodiment of the invention provides a finger vein recognition method, a device, authentication equipment and a storage medium.
In a first aspect of the embodiments of the present invention, there is provided a finger vein identification method, which is applied to an authentication device, where the authentication device includes a finger vein identification apparatus, the finger vein identification apparatus includes N finger vein acquisition modules, where N is greater than or equal to 2, and the method includes:
acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device;
performing splicing treatment on the N groups of first local finger vein images to generate M finger vein images, wherein M is more than 1;
and comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to a comparison result.
In an optional embodiment, a matrix type near-infrared light transmitter and a matrix type image sensor are arranged inside the finger vein recognition device;
the finger vein acquisition module comprises at least 1 near infrared light transmitter and at least 1 image sensor;
the acquiring N groups of first partial finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus includes:
controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light;
and acquiring a first local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
In an optional embodiment, the stitching the N groups of first local finger vein images to generate an M finger vein image includes:
and carrying out image processing on the N groups of first local finger vein images according to the sequence of the N finger vein acquisition modules, and splicing to generate M finger vein images.
In an optional embodiment, the finger vein model includes a whole finger vein model, and the determining the finger vein recognition result according to the comparison result includes:
if any finger vein image in the M finger vein images is matched with any finger vein image in the whole finger vein model, determining that the finger vein identification is successful;
if any finger vein image in the M finger vein images is not matched with any finger vein image in the full finger vein model, determining that finger vein identification is not successful;
the authentication device comprises a smart door lock, the method further comprising: and executing unlocking action under the condition that the finger vein identification is successful.
In an optional embodiment, the acquiring N sets of first partial finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus includes:
waking up the finger vein recognition device when an object is located in a sensing area of an object proximity sensor in the authentication device;
and acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
In an optional embodiment, before performing the method, the method further comprises:
acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device;
and splicing the N groups of second local finger vein images to generate a finger vein model, wherein the finger vein model comprises a full finger vein model.
In an optional embodiment, a matrix type near-infrared light transmitter and a matrix type image sensor are arranged inside the finger vein recognition device;
the finger vein acquisition module comprises at least 1 near infrared light transmitter and at least 1 image sensor;
the acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus includes:
controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light;
and acquiring a second local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
In an optional embodiment, the stitching the N groups of second local finger vein images to generate a finger vein model includes:
and carrying out image processing on the N groups of second local finger vein images according to the sequence of the N finger vein acquisition modules, and splicing to generate a finger vein model.
In an optional embodiment, the method further comprises:
in the case that the finger vein recognition is successful, determining the matching degree between the finger vein image in the M finger vein images and the finger vein image in the finger vein model;
adding 1 to the matching times under the condition that the difference value between the matching degree and a preset matching degree threshold value is smaller than a preset difference value;
under the condition that the matching times exceed a preset time threshold value, prompting to re-enter the finger vein model based on a preset prompting strategy; and
and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
In an optional embodiment, the method further comprises:
when the current time reaches the updating time of the preset finger vein model, prompting to re-enter the finger vein model based on a preset prompting strategy; and
and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
In an optional embodiment, the prompting to re-enter the finger vein model based on the preset prompting strategy includes:
and under the condition that the number of the matching degrees does not meet the preset number, prompting to re-enter the finger vein model based on a preset prompt strategy.
In an optional embodiment, the method further comprises:
and replacing the finger vein model with the M finger vein images under the condition that the number of the matching degrees meets the preset number.
In a second aspect of the embodiments of the present invention, there is provided a finger vein recognition apparatus, which is applied to an authentication device, where the authentication device includes the finger vein recognition apparatus, the finger vein recognition apparatus includes N finger vein acquisition modules, where N is greater than or equal to 2, and the finger vein recognition apparatus includes:
the image acquisition module is used for acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition device;
the image processing module is used for splicing the N groups of first local finger vein images to generate M finger vein images, wherein M is larger than 1;
and the image comparison module is used for comparing the M finger vein image with a preset finger vein model and determining a finger vein identification result according to a comparison result.
In a third aspect of the embodiments of the present invention, there is further provided an authentication device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus;
a memory for storing a computer program;
a processor, configured to implement the finger vein recognition method according to the first aspect when executing the program stored in the memory.
In a fourth aspect of the embodiments of the present invention, there is also provided a storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the finger vein recognition method described in the first aspect above.
In a fifth aspect of embodiments of the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the finger vein recognition method described in the first aspect above.
According to the technical scheme provided by the embodiment of the invention, the authentication equipment is provided with the finger vein recognition device, the finger vein recognition device comprises N finger vein acquisition modules, N is larger than or equal to 2, N groups of first local finger vein images acquired by the N finger vein acquisition modules in the finger vein recognition device are acquired, the N groups of first local finger vein images are spliced to generate an M finger vein image, M is larger than 1, the M finger vein image is compared with a preset finger vein model, and a finger vein recognition result is determined according to a comparison result. So through the first local finger vein image of N group that N finger vein collection module gathered among the finger vein recognition device to carry out the concatenation and handle and generate M finger vein image, compare in the finger vein image of single finger, the definition and the recognition degree of M finger vein image can reduce because of the influence that the locating position of finger, mode of putting brought, have improved finger vein recognition's precision.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a finger vein recognition device on an intelligent door lock according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating an implementation of a finger vein recognition method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a smart door lock provided with a human body proximity sensor according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating another implementation of a finger vein recognition method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a finger vein recognition apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an authentication device shown in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the embodiment of the invention, the authentication equipment is provided with a finger vein recognition device, the finger vein recognition device integrates an array light source and array image acquisition equipment, and the finger vein recognition device comprises N finger vein acquisition modules, wherein N is more than or equal to 2. Wherein, indicate that vein recognition device is inside to be provided with matrix near-infrared light transmitter and matrix image sensor, the near-infrared light transmitter of matrix can parallel acquisition launch near-infrared light, and it includes 1 near-infrared light transmitter and 1 at least image sensor to indicate vein collection module, is responsible for corresponding regional picture collection.
For example, the authentication equipment is intelligent lock, and finger vein recognition device can cover the door handle back or place in ordinary lock finger vein module position, and inside matrix near infrared ray transmitter and the matrix image sensor of being provided with of finger vein recognition device. The arrangement of the near-infrared light transmitter and the image sensor in the finger vein recognition device is a matrix type, the matrix type near-infrared light transmitter can parallelly emit near-infrared light, the finger vein recognition device is divided into 4 finger vein acquisition modules, each finger vein acquisition module at least comprises 1 near-infrared light transmitter and at least 1 image sensor, and the finger vein recognition device is responsible for corresponding regional picture acquisition, as shown in figure 1.
Based on this, as shown in fig. 1, an implementation flow diagram of a finger vein identification method provided in an embodiment of the present invention is shown, where the method is applied to an authentication device, and specifically may include the following steps:
s201, acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition device.
In the embodiment of the invention, the authentication equipment, such as the intelligent door lock, comprises a finger vein recognition device, wherein the finger vein recognition device comprises N finger vein acquisition modules, and N is more than or equal to 2. Each finger vein acquisition module can acquire the picture of the corresponding area.
In this way, for the authentication device, the N finger vein capture modules in the finger vein recognition apparatus may each capture the first partial finger vein images of the corresponding region, so that N sets of the first partial finger vein images captured by the N finger vein capture modules in the finger vein recognition apparatus may be obtained.
For example, as shown in fig. 1, for the smart door lock, 4 finger vein capture modules in the finger vein recognition device may each capture a first local finger vein image of a corresponding area, so that 4 groups of first local finger vein images captured by the 4 finger vein capture modules in the finger vein recognition device may be obtained.
It should be noted that, for the first local finger vein image, the local finger vein image of one or more fingers of the M fingers is referred, for example, the finger vein acquisition module 1 acquires the local finger vein image of the index finger, the vein acquisition module 2 acquires the local finger vein image of the middle finger, and for example, the finger vein acquisition module 1 acquires the local finger vein images of the index finger and the middle finger, which is not limited in the embodiment of the present invention.
In the embodiment of the present invention, for the authentication device, an object proximity sensor, for example, a human body proximity sensor, may be provided, where the object proximity sensor has a certain sensing area, and the object is located in the sensing area, and the object proximity sensor may sense the object proximity. The object may be a user, which is not limited in the embodiment of the present invention.
Based on this, under the condition that the object is located in the sensing area of the object proximity sensor in the authentication device, the object proximity sensor can sense the object, so that the authentication device can sense the object, and can wake up the finger vein recognition device, thereby acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition device. Therefore, the finger vein recognition device is in a dormant state at ordinary times, and the finger vein recognition device is awakened under the condition that the authentication equipment senses the object, so that energy consumption can be saved.
For example, as shown in fig. 3, for the intelligent door lock, a human body proximity sensor is provided, and when a user is located in a sensing area of the human body proximity sensor, the intelligent door lock can sense the user, so that the finger vein recognition device can be woken up, and then 4 groups of first local finger vein images collected by 4 finger vein collection modules in the finger vein recognition device are obtained.
And under the condition that the object is not positioned in the induction area of the object approaching the inductor in the authentication equipment, the authentication equipment cannot sense the object, so that the finger vein recognition device does not need to be awakened, and the finger vein recognition device continues to be dormant, thereby saving energy consumption.
In addition, in the embodiment of the present invention, a matrix near-infrared light emitter and a matrix image sensor are disposed inside the finger vein recognition apparatus, and the finger vein collection module includes at least 1 near-infrared light emitter and at least 1 image sensor. Here, the near-infrared light transmitter may be shared by the finger vein collection modules, for example, as shown in fig. 1, the near-infrared light transmitter at the center of the finger vein recognition apparatus may be shared by 4 finger vein collection modules, so that the near-infrared light transmitter may be effectively utilized, and certain hardware cost may be saved.
Based on this, the embodiment of the present invention specifically obtains N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus in the following manner: controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light; and acquiring a first local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
For example, as shown in fig. 3, a matrix-type near-infrared light transmitter inside the finger vein recognition device is controlled to transmit near-infrared light, where the matrix-type near-infrared light transmitter inside the finger vein recognition device can transmit near-infrared light in parallel, and then a first local finger vein image displayed by a finger irradiated by the near-infrared light is acquired through an image sensor in each finger vein acquisition module (i.e., the finger vein acquisition module 1, the finger vein acquisition module 2, the finger vein acquisition module 3, and the finger vein acquisition module 4), so that 4 groups of first local finger vein images acquired by 4 finger vein acquisition modules in the finger vein recognition device can be acquired.
It should be noted that, the authentication device may be, for example, a member identification integrated machine, a bank ATM, or may also be a device used in the field where personal identity authentication is required, such as an access control system, a PC login, a car lock replacement, a safe box management, a copier management, and an electronic payment, which is not limited in this embodiment of the present invention.
S202, carrying out splicing processing on the N groups of first local finger vein images to generate M finger vein images, wherein M is larger than 1.
In the embodiment of the present invention, for N groups of first local finger vein images, N groups of first local finger vein images may be subjected to stitching processing to generate an M finger vein image, where M > 1. The method comprises the steps of obtaining N groups of first local finger vein images, and splicing the N groups of first local finger vein images to generate M finger vein images.
It should be noted that the image processing may specifically be filtering, feature extraction, and the like, and may specifically refer to a current image processing algorithm, so that the M-finger vein images may be finally stitched. The splicing algorithm used here may specifically be cross correlation, distance transformation, structure matching, and chain code correlation algorithm, which is not limited in the embodiment of the present invention.
For example, as shown in fig. 1, there is a corresponding order for 4 finger vein acquisition modules of the smart door lock, and according to the order of the 4 finger vein acquisition modules, image processing such as filtering, feature extraction and the like is performed on 4 groups of first local finger vein images, and finally, a vein image of the whole finger of the user, that is, a 5 finger vein image, including a finger vein image of 5 fingers (that is, thumb, index finger, middle finger, ring finger, little finger) is generated by stitching.
S203, comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to the comparison result.
For an M-finger vein image, the authentication apparatus may compare the M-finger vein image with a preset finger vein model, thereby determining a finger vein recognition result according to the comparison result. The finger vein model comprises a full finger vein model, and if any finger vein image in the M finger vein images is matched with any finger vein image in the full finger vein model, the finger vein recognition is determined to be successful; and if any finger vein image in the M finger vein images is not matched with any finger vein image in the full finger vein model, determining that the finger vein identification is unsuccessful. In the case that the finger vein recognition is successful, the authentication device may be controlled to perform some action, for example, the smart door lock may be controlled to perform an unlocking action.
For example, for a 5-finger vein image, the intelligent door lock compares the 5-finger vein image with the full-finger vein model, and if the middle finger vein image in the 5-finger vein image is matched with the middle finger vein image in the full-finger vein model, it is determined that the finger vein identification is successful, that is, the verification is passed, so that the unlocking action can be executed; if any finger vein image in the 5 finger vein images is not matched with any finger vein image in the full finger vein model, the finger vein recognition is determined to be unsuccessful, namely, the verification is not passed, the finger vein recognition device enters the dormancy state, and the unlocking action is not required.
Therefore, when a user needs to unlock the lock, a part or all (palm or) fingers can be placed in the identification area of the finger vein identification device, N groups of first local finger vein images are collected by N finger vein collection modules in the finger vein identification device, the N groups of first local finger vein images are spliced into M finger vein images by the authentication equipment, if any one of the collected M finger vein images is matched with any one of the full finger vein models, the finger vein identification is considered to be successful, namely the verification is passed, the unlocking action is executed, the user does not need to place a specific finger into a specific identification position, the unlocking can be realized, and the speed of finger vein identification and input is improved. In addition, matrix type near-infrared light transmitter and matrix type image sensor have promoted image acquisition's quality, have improved product identification accuracy and security.
In addition, it should be noted that, for the authentication device, it is first required to determine whether a preset finger vein model exists locally, if the preset finger vein model exists, the step S203 is executed, otherwise, the finger vein recognition apparatus is controlled to enter the sleep mode.
Through the above description of the technical scheme provided by the embodiment of the invention, the authentication device is provided with the finger vein recognition device, the finger vein recognition device comprises N finger vein acquisition modules, N is greater than or equal to 2, N groups of first local finger vein images acquired by the N finger vein acquisition modules in the finger vein recognition device are acquired, the N groups of first local finger vein images are spliced to generate an M finger vein image, wherein M is greater than 1, the M finger vein image is compared with a preset finger vein model, and a finger vein recognition result is determined according to a comparison result. So through the first local finger vein image of N group that N finger vein collection module gathered among the finger vein recognition device to carry out the concatenation and handle and generate M finger vein image, compare in the finger vein image of single finger, the definition and the recognition degree of M finger vein image can reduce because of the influence that the locating position of finger, mode of putting brought, have improved finger vein recognition's precision.
In addition, the embodiment of the invention adopts the matrix type near-infrared light transmitter, solves the problem of uneven illumination of common finger vein modules in the market, achieves the effect of completely and uniformly illuminating the palm and fingers of a user by light, avoids the problem of insufficient light illumination caused by moving the palm and fingers of the user, adopts the matrix type image sensor, and when the distance between the matrix type image sensors is smaller, the whole matrix type image sensor can be regarded as a single-center image sensor, the method can be used for generating photos with super resolution, high signal-to-noise ratio and high dynamic range, solves the problems that the resolution ratio of images acquired by a single camera of a common finger vein module is not high enough and not clear enough, solves the problems of image shadows generated by different thicknesses of bones and muscles and the contrast between the vein images and background images is not high enough, and achieves the effect of high-quality image acquisition.
In addition, before finger vein identification, the embodiment of the present invention needs to generate a finger vein model, and specifically, reference may be made to fig. 4. As shown in fig. 4, an implementation flow diagram of another finger vein identification method provided in the embodiment of the present invention is shown, where the method is applied to an authentication device, and specifically includes the following steps:
s401, acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
In the embodiment of the invention, in the finger vein entry stage, the N finger vein acquisition modules in the finger vein recognition device of the authentication device can respectively acquire the second local finger vein images of the corresponding area, so that N groups of second local finger vein images acquired by the N finger vein acquisition modules in the finger vein recognition device can be acquired.
For example, as shown in fig. 1, for the smart door lock, 4 finger vein capture modules in the finger vein recognition device may each capture a second local finger vein image of a corresponding area, so that 4 sets of second local finger vein images captured by the 4 finger vein capture modules in the finger vein recognition device may be obtained.
It should be noted that, for the second local finger vein image, the local finger vein image of one or more fingers of the M fingers is referred, for example, the finger vein acquisition module 1 acquires the local finger vein image of the index finger, the vein acquisition module 2 acquires the local finger vein image of the middle finger, and for example, the finger vein acquisition module 1 acquires the local finger vein images of the index finger and the middle finger, which is not limited in this embodiment of the present invention.
In addition, in the embodiment of the present invention, a matrix near-infrared light emitter and a matrix image sensor are disposed inside the finger vein recognition apparatus, and the finger vein collection module includes at least 1 near-infrared light emitter and at least 1 image sensor.
Based on this, the embodiment of the present invention specifically obtains N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus in the following manner: controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light; and acquiring a second local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
For example, as shown in fig. 3, a matrix-type near-infrared light transmitter inside the finger vein recognition device is controlled to transmit near-infrared light, where the matrix-type near-infrared light transmitter inside the finger vein recognition device can transmit near-infrared light in parallel, and then a second local finger vein image displayed by a finger irradiated by the near-infrared light is acquired through an image sensor in each finger vein acquisition module (i.e., the finger vein acquisition module 1, the finger vein acquisition module 2, the finger vein acquisition module 3, and the finger vein acquisition module 4), so that 4 groups of second local finger vein images acquired by 4 finger vein acquisition modules in the finger vein recognition device can be acquired.
S402, splicing the N groups of second local finger vein images to generate a finger vein model, wherein the finger vein model comprises a full finger vein model.
In the embodiment of the present invention, for N groups of second local finger vein images, N groups of second local finger vein images may be subjected to stitching processing to generate a finger vein model, where the finger vein model includes a full finger vein model. The method comprises the steps of obtaining a finger vein image, obtaining N groups of second local finger vein images, and splicing the N groups of second local finger vein images to generate a finger vein model.
It should be noted that the image processing may specifically be filtering, feature extraction, and the like, and may specifically refer to the current image processing algorithm, so that the finger vein models may be finally spliced. The splicing algorithm used here may specifically be cross correlation, distance transformation, structure matching, and chain code correlation algorithm, which is not limited in the embodiment of the present invention.
For example, as shown in fig. 1, there is a corresponding order for 4 finger vein acquisition modules of the smart door lock, and according to the order of the 4 finger vein acquisition modules, image processing such as filtering, feature extraction and the like is performed on 4 groups of second local finger vein images, and finally a vein image of the whole finger of the user, that is, a finger vein model, including a finger vein image of 5 fingers (that is, a thumb, an index finger, a middle finger, a ring finger, and a little finger) is generated by stitching.
And S403, acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
In the finger vein recognition stage, the step is similar to the step S201, and the embodiments of the present invention are not described herein.
S404, performing splicing treatment on the N groups of first local finger vein images to generate M finger vein images, wherein M is larger than 1.
In the finger vein recognition stage, the present step is similar to the step S202, and the embodiments of the present invention are not repeated herein.
S405, comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to a comparison result.
In the finger vein recognition stage, the step is similar to the step S203, and the embodiments of the present invention are not repeated herein.
Furthermore, to date, the permanence of the finger veins has not been proven, and may still change with age and physiological changes. Determining the matching degree between the finger vein image in the M finger vein images and the finger vein image in the finger vein model in the condition that finger vein identification is successful; adding 1 to the matching times under the condition that the difference value between the matching degree and a preset matching degree threshold value is smaller than a preset difference value; under the condition that the matching times exceed a preset time threshold value, prompting to re-enter the finger vein model based on a preset prompting strategy; and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device. Thus, the updating of the finger vein model can be completed.
For example, in the case that finger vein recognition is successful, determining a matching degree between a finger vein image in the M matched finger vein images and a finger vein image in the finger vein model, as shown in table 1 below, in the case that a difference between the matching degree and a preset matching degree threshold (for example, 80%, if the matching degree is greater than or equal to 80%, then matching) is smaller than a preset difference (for example, 10%), adding 1 to the matching frequency, and thus adding 5 to the matching frequency, thereby determining whether the matching frequency exceeds the preset frequency threshold, and in the case that the matching frequency exceeds the preset frequency threshold, prompting re-entry of the finger vein model based on a preset prompting strategy, and jumping to step S401, thus completing update of the finger vein model.
| M finger vein image | Finger vein model | Degree of matching |
| Thumb vein pattern | Thumb vein pattern | 85％ |
| Vein pattern of index finger | Vein pattern of index finger | 86％ |
| Middle finger vein pattern | Middle finger vein pattern | 85％ |
| Ring finger vein picture | Ring finger vein picture | 86％ |
| Little finger vein picture | Little finger vein picture | 85％ |
TABLE 1
In addition, the embodiment of the invention can also take time as granularity, and prompt to re-input the finger vein model based on a preset prompt strategy under the condition that the current moment reaches the preset finger vein model updating moment; and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device. For example, 12:00 update finger vein models are preset every 10 months and 1 days every year, whether the current time reaches the preset finger vein model update time or not is judged, the finger vein models are re-entered based on the preset prompt strategy prompt under the condition that the current time reaches the preset finger vein model update time, and the step S401 is skipped, so that the update of the finger vein models can be completed.
In order to facilitate automatic learning, the finger vein model is automatically updated, before re-entry of the finger vein model is prompted based on a preset prompting strategy, the authentication equipment can judge whether the number of matching degrees meets a preset number, and under the condition that the number of matching degrees does not meet the preset number, the M finger vein image is not a full finger vein image, the re-entry of the finger vein model is prompted based on the preset prompting strategy, otherwise, under the condition that the number of matching degrees meets the preset number, the M finger vein image is the full finger vein image, and the finger vein model is replaced by the M finger vein image.
For example, as shown in table 1, the number of matching degrees between the finger vein image in the M-finger vein image and the finger vein image in the finger vein model is 5, and the preset number is 5, so that it is known that the number of matching degrees satisfies the preset number, and when the M-finger vein image is the full finger vein image, the finger vein model is replaced with the M-finger vein image when the number of matching degrees satisfies the preset number. The finger vein model is replaced by the M finger vein image, so that the replaced finger vein model is still the full finger vein model, automatic updating of the finger vein model is completed, re-entry by a user is not needed, convenience is brought to the user, and user experience is improved.
Corresponding to the above method embodiment, an embodiment of the present invention further provides a finger vein recognition apparatus, as shown in fig. 5, which is applied to an authentication device, where the authentication device includes the finger vein recognition apparatus, the finger vein recognition apparatus includes N finger vein acquisition modules, where N is greater than or equal to 2, and the finger vein recognition apparatus may include: an image acquisition module 510, an image processing module 520, an image comparison module 530.
An image obtaining module 510, configured to obtain N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus;
the image processing module 520 is configured to perform stitching processing on the N groups of first local finger vein images to generate an M finger vein image, where M is greater than 1;
and an image comparison module 530, configured to compare the M finger vein image with a preset finger vein model, and determine a finger vein identification result according to a comparison result.
The embodiment of the present invention further provides an authentication device (the authentication device includes a finger vein recognition apparatus, the finger vein recognition apparatus includes N finger vein collection modules, N is greater than or equal to 2, and is not shown in fig. 6), as shown in fig. 6, the authentication device includes a processor 61, a communication interface 62, a memory 63, and a communication bus 64, wherein the processor 61, the communication interface 62, and the memory 63 complete mutual communication through the communication bus 64,
a memory 63 for storing a computer program;
the processor 61 is configured to implement the following steps when executing the program stored in the memory 63:
acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device; performing splicing treatment on the N groups of first local finger vein images to generate M finger vein images, wherein M is more than 1; and comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to a comparison result.
The communication bus mentioned in the above authentication device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the authentication device and other devices.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In another embodiment of the present invention, a storage medium is further provided, where instructions are stored, and when the instructions are executed on a computer, the instructions cause the computer to execute the finger vein recognition method in any one of the above embodiments.
In a further embodiment provided by the present invention, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the finger vein identification method described in any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a storage medium or transmitted from one storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (15)
1. A finger vein identification method is applied to authentication equipment, the authentication equipment comprises a finger vein identification device, the finger vein identification device comprises N finger vein acquisition modules, N is larger than or equal to 2, and the method comprises the following steps:
acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device;
performing splicing treatment on the N groups of first local finger vein images to generate M finger vein images, wherein M is more than 1;
and comparing the M finger vein image with a preset finger vein model, and determining a finger vein identification result according to a comparison result.
2. The method according to claim 1, wherein a matrix near-infrared light transmitter and a matrix image sensor are arranged inside the finger vein recognition device;
the finger vein acquisition module comprises at least 1 near infrared light transmitter and at least 1 image sensor;
the acquiring N groups of first partial finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus includes:
controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light;
and acquiring a first local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
3. The method according to claim 1, wherein the stitching the N groups of the first local finger vein images to generate M finger vein images comprises:
and carrying out image processing on the N groups of first local finger vein images according to the sequence of the N finger vein acquisition modules, and splicing to generate M finger vein images.
4. The method of claim 1, wherein the finger vein model comprises a full finger vein model, and wherein determining the finger vein recognition result according to the comparison result comprises:
if any finger vein image in the M finger vein images is matched with any finger vein image in the whole finger vein model, determining that the finger vein identification is successful;
if any finger vein image in the M finger vein images is not matched with any finger vein image in the full finger vein model, determining that finger vein identification is not successful;
the authentication device comprises a smart door lock, the method further comprising: and executing unlocking action under the condition that the finger vein identification is successful.
5. The method according to claim 1, wherein the acquiring N groups of first partial finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus comprises:
waking up the finger vein recognition device when an object is located in a sensing area of an object proximity sensor in the authentication device;
and acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
6. The method of any of claims 1 to 5, further comprising, prior to performing the method:
acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device;
and splicing the N groups of second local finger vein images to generate a finger vein model, wherein the finger vein model comprises a full finger vein model.
7. The method according to claim 6, wherein a matrix near-infrared light transmitter and a matrix image sensor are arranged inside the finger vein recognition device;
the finger vein acquisition module comprises at least 1 near infrared light transmitter and at least 1 image sensor;
the acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition apparatus includes:
controlling the matrix type near-infrared light transmitter inside the finger vein recognition device to transmit near-infrared light;
and acquiring a second local finger vein image displayed by the finger irradiated by the near-infrared light through the image sensor in each finger vein acquisition module.
8. The method according to claim 6, wherein the stitching the N groups of the second local finger vein images to generate a finger vein model comprises:
and carrying out image processing on the N groups of second local finger vein images according to the sequence of the N finger vein acquisition modules, and splicing to generate a finger vein model.
9. The method of claim 6, further comprising:
in the case that the finger vein recognition is successful, determining the matching degree between the finger vein image in the M finger vein images and the finger vein image in the finger vein model;
adding 1 to the matching times under the condition that the difference value between the matching degree and a preset matching degree threshold value is smaller than a preset difference value;
under the condition that the matching times exceed a preset time threshold value, prompting to re-enter the finger vein model based on a preset prompting strategy; and
and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
10. The method of claim 6, further comprising:
when the current time reaches the updating time of the preset finger vein model, prompting to re-enter the finger vein model based on a preset prompting strategy; and
and skipping to the step of acquiring N groups of second local finger vein images acquired by N finger vein acquisition modules in the finger vein identification device.
11. The method according to claim 9, wherein the prompting re-entry of the finger vein model based on a preset prompting strategy comprises:
and under the condition that the number of the matching degrees does not meet the preset number, prompting to re-enter the finger vein model based on a preset prompt strategy.
12. The method of claim 11, further comprising:
and replacing the finger vein model with the M finger vein images under the condition that the number of the matching degrees meets the preset number.
13. The finger vein recognition device is applied to authentication equipment, the authentication equipment comprises the finger vein recognition device, the finger vein recognition device comprises N finger vein acquisition modules, N is larger than or equal to 2, and the finger vein recognition device comprises:
the image acquisition module is used for acquiring N groups of first local finger vein images acquired by N finger vein acquisition modules in the finger vein recognition device;
the image processing module is used for splicing the N groups of first local finger vein images to generate M finger vein images, wherein M is larger than 1;
and the image comparison module is used for comparing the M finger vein image with a preset finger vein model and determining a finger vein identification result according to a comparison result.
14. The authentication equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any one of claims 1 to 12 when executing a program stored on a memory.
15. A storage medium on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 12.
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