CN112016516A - Palm vein recognition method and palm vein recognition device - Google Patents
Palm vein recognition method and palm vein recognition device Download PDFInfo
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Abstract
The invention provides a palm vein identification method and a palm vein identification device, wherein the palm vein identification method comprises the following steps: collecting a palm vein image; acquiring a palm vein image of an interested area; preprocessing the palm vein image of the region of interest, and extracting a characteristic value of the palm vein image of the region of interest; converting the characteristic value into an XML data format and encrypting; and matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database to identify the identity. The method converts the characteristic value into an XML data format and then encrypts the characteristic value, can realize high data transmission and storage, can realize identity recognition without high-complexity operation, and improves the recognition efficiency.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a palm vein recognition method, a palm vein recognition device and a non-transitory computer readable storage medium.
Background
With the rapid development of mobile internet technology, various payments emerge endlessly, wherein payment with treasure payment and WeChat payment also become the current main transaction payment technology, people are not widely using credit cards and other payment methods, users can pay transaction business through mobile phone terminals at any time and any place, thus greatly saving the transaction time cost of people and bringing revolutionary changes to the payment field. However, the mobile electronic payment technology is deep, and the disadvantages of the technology are slowly displayed, firstly, the mobile terminal must be completed under the condition of power, and the user must be ensured by some technical means such as registration, authentication and the like in advance.
In the related technology, a palm vein biological identification method based on structural features is provided, and the method compares extracted structural features of feature points and geometric lines on a palm vein image to complete identity identification. The identification method is visual, but the identification capability is relatively limited because the number of point features is large, the calculation amount is large, and the line feature extraction is difficult.
Disclosure of Invention
The present invention is directed to solve the above technical problems, and a first object of the present invention is to provide a palm vein recognition method, in which a feature value is converted into an XML (Extensible Markup Language) data format and then encrypted, so that high data transmission and storage can be achieved, identity recognition can be achieved without highly complex operations, and recognition efficiency is improved.
The second purpose of the invention is to provide a palm vein recognition device.
A third object of the invention is to propose a non-transitory computer-readable storage medium.
The technical scheme adopted by the invention is as follows:
an embodiment of a first aspect of the present invention provides a palm vein identification method, including: collecting a palm vein image; acquiring a palm vein image of an interested area; preprocessing the palm vein image of the region of interest and extracting a characteristic value of the palm vein image of the region of interest; converting the characteristic value into an XML data format and encrypting; and matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database to identify the identity.
The palm vein recognition method provided by the invention can also have the following additional technical characteristics:
according to an embodiment of the present invention, the preprocessing of the palm pulse image of the region of interest includes: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
According to one embodiment of the invention, the region of interest is: the middle point of the index finger, the middle point of the ring finger and the lowest joint of the middle finger.
According to an embodiment of the present invention, the palm vein image is acquired by a near-infrared CCD (Charge-coupled Device) camera.
An embodiment of the second aspect of the present invention provides a palm vein recognition apparatus, including: the acquisition module is used for acquiring a palm pulse image; the acquisition module is used for acquiring a palm vein image of the region of interest; the extraction module is used for preprocessing the palm vein image of the region of interest and extracting the characteristic value of the palm vein image of the region of interest; the conversion module is used for converting the characteristic value into an XML data format and encrypting the characteristic value; and the matching module is used for matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database so as to identify the identity.
The palm vein recognition device provided by the invention can also have the following additional technical characteristics:
according to an embodiment of the present invention, the extracting module preprocesses the palm pulse image of the region of interest, including: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
According to one embodiment of the invention, the region of interest is: the middle point of the index finger, the middle point of the ring finger and the lowest joint of the middle finger.
According to one embodiment of the invention, the acquisition module acquires the palm vein image through a near infrared CCD camera.
An embodiment of the third aspect of the present invention proposes a non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the palm vein recognition method according to the embodiment of the first aspect of the present invention.
The invention has the beneficial effects that:
the invention converts the characteristic value into XML data format and then encrypts the XML data format, can realize high data transmission and storage, can realize identity recognition without high-complexity operation, and improves the recognition efficiency.
Drawings
FIG. 1 is a flow chart of a palm vein identification method according to one embodiment of the invention;
FIG. 2 is a schematic view of a region of interest according to one embodiment of the present invention;
fig. 3 is a block diagram of a palm vein recognition device according to an embodiment of the invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The palm veins, i.e., the palm veins, are the dark tendons which are hidden and visible through the skin of the palm, and include all the venous systems in the range of the palm, and the veins are blood vessels leading blood back to the heart, starting from the capillaries and ending in the atria. When the palm vein is used for identity authentication, the image characteristics of the palm vein are acquired, the image characteristics exist only when the palm is live, and the image characteristics of the vein cannot be acquired from the palm of the non-live body, so that the palm cannot be identified, and further cannot be counterfeited. When the palm vein is used for identity authentication, the vein image characteristics of the palm interior are acquired, but not the image characteristics of the palm surface, so that any identification obstacle caused by damage, abrasion, dryness, over-wetting and the like of the palm surface does not exist. The palm vein is used for identity authentication, when the palm vein image is acquired, the palm can be recognized by lightly placing the palm without contacting the equipment, the insanitation problem when the hand contacts the equipment and the safety problem caused by the fact that the surface characteristics of the fingers are possibly copied do not exist, the psychological discomfort of the object to be examined is avoided, and meanwhile, the phenomenon that the palm cannot be recognized due to dirt pollution is avoided. The palm vein mode is almost suitable for all users because the veins are located inside the palm, the influence degree of external factors such as air temperature and the like can be ignored, and the user acceptance is good. In addition to not requiring direct contact with the scanner surface, this non-invasive scanning process is simple and natural, alleviating the user's resistance that may be present due to concerns about hygiene or bothersome use. Because of the above living body identification, internal features and non-contact 3 aspects of features, the palm vein feature of the user is ensured to be difficult to forge. Therefore, the palm vein recognition system has high safety level and is particularly suitable for places with high safety requirements.
Fig. 1 is a flowchart of a palm vein identification method according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
and S1, collecting the palm vein image.
Wherein, palm vein images can be collected through a near infrared CCD camera.
And S2, acquiring a palm vein image of the region of interest.
And S3, preprocessing the palm vein image of the region of interest and extracting the characteristic value of the palm vein image of the region of interest.
Wherein, the palm pulse image of the interested area is preprocessed, which comprises the following steps: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
And S4, converting the characteristic value into an XML data format and encrypting the characteristic value.
And S5, matching the feature value of the encrypted XML data format with the feature value of the XML data format in the palm pulse database for identity recognition.
Specifically, the palm vein recognition may include a registration process and a matching process. The registration process comprises the following steps: collecting a palm vein image, and acquiring a palm vein image of an interested area; preprocessing the palm vein image of the region of interest, and extracting a characteristic value of the palm vein image of the region of interest; converting the characteristic value into an XML data format and encrypting; and storing the characteristic value of the encrypted XML data format and the corresponding ID (Identity document) into a palm pulse database. The matching process comprises the following steps: collecting a palm vein image, and acquiring a palm vein image of an interested area; preprocessing the palm vein image of the region of interest, and extracting a characteristic value of the palm vein image of the region of interest; converting the characteristic value into an XML data format and encrypting; and matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database to identify.
Therefore, the characteristic value is encrypted after being converted into the XML data format, high data transmission and storage can be achieved, identity recognition can be achieved without high-complexity operation, and recognition efficiency is improved.
According to one embodiment of the present invention, as shown in fig. 2, the regions of interest are: the index finger midpoint P1, the ring finger midpoint P2 and the lowest joint P3. The palm center area is used as the interesting area, so that partial data loss caused by the palm placing position deviation of the user is avoided.
Other palm key parts can be used as the interested areas, but the starting point is convenient to construct XML.
The conversion of the eigenvalues into the XML data format can be referred to as follows:
{
P1P2：X1
P2P3：X2
P1P3：X3
∠P3P1P2:Y1
∠P1P2P3:Y2
∠P1P3P2:Y3
other corresponding region feature values
}
Wherein P1P2 represents the length between P1P2, P1P3 represents the length between P1P3, P2P3 represents the length between P2P3, angle P3P1P2, angle P1P2P3, and angle P1P3P2 represent angles.
In summary, according to the palm vein identification method of the embodiment of the invention, the palm vein image is acquired; acquiring a palm vein image of an interested area; preprocessing the palm vein image of the region of interest, and extracting a characteristic value of the palm vein image of the region of interest; converting the characteristic value into an XML data format and encrypting; and matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database to identify the identity. The method converts the characteristic value into an XML data format and then encrypts the characteristic value, can realize high data transmission and storage, can realize identity recognition without high-complexity operation, and improves the recognition efficiency.
Corresponding to the above palm vein identification method, the present application also provides a palm vein identification device, and since the device embodiment of the present invention corresponds to the above method embodiment, details that are not disclosed in the device embodiment may refer to the above method embodiment, and are not described again in the present invention.
Fig. 3 is a block diagram of a palm vein recognition device according to an embodiment of the invention. As shown in fig. 3, the apparatus includes: the device comprises an acquisition module 1, an acquisition module 2, an extraction module 3, a conversion module 4 and a matching module 5.
The acquisition module 1 is used for acquiring a palm vein image; the acquisition module 2 is used for acquiring a palm vein image of the region of interest; the extraction module 3 is used for preprocessing the palm vein image of the region of interest and extracting the characteristic value of the palm vein image of the region of interest; the conversion module 4 is used for converting the characteristic value into an XML data format and encrypting the characteristic value; the matching module 5 is used for matching the feature value of the encrypted XML data format with the feature value of the XML data format in the palm vein database so as to identify the identity.
According to an embodiment of the present invention, the extraction module 3 preprocesses the palm pulse image of the region of interest, including: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
According to one embodiment of the invention, the region of interest is: the middle point of the index finger, the middle point of the ring finger and the lowest joint of the middle finger.
According to an embodiment of the present invention, the collecting module 1 may collect the palm vein image through a near infrared CCD camera.
According to the palm vein recognition device provided by the embodiment of the invention, the acquisition module acquires a palm vein image of an interested area, the extraction module preprocesses the palm vein image of the interested area and extracts the characteristic value of the palm vein image of the interested area, the conversion module converts the characteristic value into an XML data format and encrypts the XML data format, and the matching module matches the characteristic value of the XML data format with the characteristic value of the XML data format in the palm vein database according to the encrypted XML data format so as to perform identity recognition. Therefore, the characteristic value is encrypted after being converted into the XML data format, high data transmission and storage can be achieved, identity recognition can be achieved without high-complexity operation, and recognition efficiency is improved.
The invention also proposes a non-transitory computer-readable storage medium on which a computer program is stored which, when being executed by a processor, implements the palm pulse recognition method described above.
According to the non-transitory computer-readable storage medium of the embodiment of the invention, when a computer program stored on the non-transitory computer-readable storage medium is executed by a processor, a palm vein image is acquired, a palm vein image of an interested area is acquired, the palm vein image of the interested area is preprocessed, a characteristic value of the palm vein image of the interested area is extracted, the characteristic value is converted into an XML data format and encrypted, the characteristic value is matched with a characteristic value of the XML data format in a palm vein database according to the encrypted XML data format to identify, and therefore, the characteristic value is encrypted after being converted into the XML data format, high data transmission and storage can be realized, identity identification can be realized without high-complexity operation, and identification efficiency is improved.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. The meaning of "plurality" is two or more unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; the two components can be directly connected with each other or indirectly connected with each other through an intermediate medium, and can be communicated with each other in the compartment or the interaction relation of the two components. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, the first feature "on" or "under" the second feature may be directly contacting the first and second features or indirectly contacting the first and second features through an intermediate. Also, a first feature "on," "over," and "above" a second feature may be directly or diagonally above the second feature, or may simply indicate that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature may be directly under or obliquely under the first feature, or may simply mean that the first feature is at a lesser elevation than the second feature.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction. In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. A palm vein identification method is characterized by comprising the following steps:
collecting a palm vein image;
acquiring a palm vein image of an interested area;
preprocessing the palm vein image of the region of interest and extracting a characteristic value of the palm vein image of the region of interest;
converting the characteristic value into an XML data format and encrypting;
and matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database to identify the identity.
2. The palm vein recognition method according to claim 1, wherein preprocessing the palm vein image of the region of interest includes: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
3. The palm vein recognition method according to claim 1, wherein the region of interest is: the middle point of the index finger, the middle point of the ring finger and the lowest joint of the middle finger.
4. The palm vein identification method according to claim 1, wherein the palm vein image is acquired by a near infrared CCD camera.
5. A palm vein recognition device, comprising:
the acquisition module is used for acquiring a palm pulse image;
the acquisition module is used for acquiring a palm vein image of the region of interest;
the extraction module is used for preprocessing the palm vein image of the region of interest and extracting the characteristic value of the palm vein image of the region of interest;
the conversion module is used for converting the characteristic value into an XML data format and encrypting the characteristic value;
and the matching module is used for matching the characteristic value of the encrypted XML data format with the characteristic value of the XML data format in the palm vein database so as to identify the identity.
6. The palm vein recognition device according to claim 5, wherein the extraction module preprocesses the palm vein image of the region of interest, and comprises: image threshold segmentation, binarization, contour tracking, image filling, image opening operation, gravity center calculation and central projection calculation.
7. The palm vein recognition device according to claim 5, wherein the region of interest is: the middle point of the index finger, the middle point of the ring finger and the lowest joint of the middle finger.
8. The palm vein recognition device according to claim 5, wherein the collection module collects the palm vein image through a near infrared CCD camera.
9. A non-transitory computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the palm vein recognition method according to any one of claims 1-4.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113269146A (en) * | 2021-06-23 | 2021-08-17 | 西安交通大学 | Partial discharge pattern recognition method, device, equipment and storage medium |
| CN113642489A (en) * | 2021-08-19 | 2021-11-12 | 青岛奥美克生物信息科技有限公司 | Non-contact biological identification method and system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778748A (en) * | 2016-12-30 | 2017-05-31 | 江西憶源多媒体科技有限公司 | Identity card method for quickly identifying and its device based on artificial neural network |
| CN107273844A (en) * | 2017-06-12 | 2017-10-20 | 成都芯软科技股份公司 | Vena metacarpea recognizes matching process and device |
-
2020
- 2020-09-11 CN CN202010954702.9A patent/CN112016516A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106778748A (en) * | 2016-12-30 | 2017-05-31 | 江西憶源多媒体科技有限公司 | Identity card method for quickly identifying and its device based on artificial neural network |
| CN107273844A (en) * | 2017-06-12 | 2017-10-20 | 成都芯软科技股份公司 | Vena metacarpea recognizes matching process and device |
Non-Patent Citations (1)
| Title |
|---|
| 张文辉: "掌静脉识别系统研究与实现", 《知网》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113269146A (en) * | 2021-06-23 | 2021-08-17 | 西安交通大学 | Partial discharge pattern recognition method, device, equipment and storage medium |
| CN113642489A (en) * | 2021-08-19 | 2021-11-12 | 青岛奥美克生物信息科技有限公司 | Non-contact biological identification method and system |
| CN113642489B (en) * | 2021-08-19 | 2024-02-23 | 青岛奥美克生物信息科技有限公司 | Non-contact biological identification method and system |
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