CN106485125B - Fingerprint identification method and device - Google Patents
Fingerprint identification method and device Download PDFInfo
- Publication number
- CN106485125B CN106485125B CN201610917749.1A CN201610917749A CN106485125B CN 106485125 B CN106485125 B CN 106485125B CN 201610917749 A CN201610917749 A CN 201610917749A CN 106485125 B CN106485125 B CN 106485125B
- Authority
- CN
- China
- Prior art keywords
- fingerprint image
- fingerprint
- verified
- image
- historical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Hardware Design (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Collating Specific Patterns (AREA)
- Image Input (AREA)
Abstract
The invention discloses a fingerprint identification method and a fingerprint identification device, wherein the method comprises the following steps: acquiring a fingerprint image to be verified; and if the fingerprint image to be verified is matched with the historical fingerprint image, refusing fingerprint identification. According to the fingerprint identification method and device provided by the embodiment of the invention, the fingerprint image to be verified is matched and analyzed with the historical fingerprint image, so that the condition that a non-user himself/herself utilizes the residual fingerprint for identification is effectively prevented, and the beneficial effect of improving the fingerprint identification safety is achieved.
Description
Technical Field
The invention relates to the technical field of biological identification, in particular to a fingerprint identification method and a fingerprint identification device.
Background
Fingerprint identification is one of identification technologies which are most widely applied and have the lowest price in the biological identification technology, and has good development prospect.
The principle of fingerprint identification is as follows: when the finger touches and presses the fingerprint identifier or a switch under the fingerprint identifier, light is emitted, penetrates through the fingerprint identification cover plate glass, reflects the skin surface texture and receives the skin surface texture to form a fingerprint image; and processing and analyzing the fingerprint image, searching for clear characteristic points to match with the database of the original fingerprint characteristic points, if the clear characteristic points are consistent with the database of the original fingerprint characteristic points, the verification is successful, and if the clear characteristic points are inconsistent with the original fingerprint characteristic points, the verification fails.
The positive fingerprint identification part of the optics fingerprint module among present fingerprint identification ware or the fingerprint identification ware because the printing opacity needs all be glass material, and glass material's lipophilicity can leave clear obvious fingerprint after the user verifies. And when the touch event is triggered under the condition that the original fingerprint is not destroyed again, the fingerprint can be identified again and the unlocking is carried out. Therefore, when the user loses the terminal, if the fingerprint of the last time of fingerprint recognizer is clear enough, the fingerprint recognizer can be unlocked, and the terminal is unsafe.
Disclosure of Invention
The embodiment of the invention provides a fingerprint identification method and a fingerprint identification device, which can effectively prevent a non-user from unlocking by utilizing a residual fingerprint and improve the safety of fingerprint unlocking.
In a first aspect, an embodiment of the present invention provides a fingerprint identification method, including:
acquiring a fingerprint image to be verified;
and if the fingerprint image to be verified is matched with the historical fingerprint image, refusing fingerprint identification.
In a second aspect, an embodiment of the present invention provides an apparatus for fingerprint identification, including:
the fingerprint image acquisition module is used for acquiring a fingerprint image to be verified;
and the fingerprint identification module is used for refusing fingerprint identification if the fingerprint image to be verified is matched with the historical fingerprint image.
According to the fingerprint identification method and device provided by the embodiment of the invention, the fingerprint image to be verified is matched and analyzed with the historical fingerprint image, so that the condition that a non-user himself/herself utilizes the residual fingerprint for identification is effectively prevented, and the beneficial effect of improving the fingerprint identification safety is achieved.
Drawings
FIG. 1A is a flowchart illustrating a fingerprint recognition method according to an embodiment of the present invention;
fig. 1B is a flowchart of a method for identifying a fingerprint according to a first embodiment of the present invention when a fingerprint image to be verified does not match a historical fingerprint image;
fig. 2A is a schematic diagram of a fingerprint identification method according to a second embodiment of the present invention;
fig. 2B is a schematic diagram of a first to-be-verified fingerprint image of a fingerprint identification method according to a second embodiment of the present invention;
FIG. 2C is a diagram illustrating a first historical fingerprint image of a fingerprint identification method according to a second embodiment of the present invention;
fig. 2D is a schematic diagram of a fingerprint image obtained by superimposing a first to-be-verified fingerprint image and a first historical fingerprint image according to a second fingerprint identification method in the embodiment of the present invention;
fig. 2E is a schematic diagram of a second fingerprint image to be verified in the fingerprint identification method according to the second embodiment of the present invention;
FIG. 2F is a diagram illustrating a second historical fingerprint image of a fingerprint identification method according to a second embodiment of the present invention;
fig. 2G is a schematic diagram of a fingerprint image obtained by superimposing a second fingerprint image to be authenticated and a second historical fingerprint image according to a second fingerprint identification method in the second embodiment of the present invention;
FIG. 3 is a flowchart of a fingerprint identification method according to a third embodiment of the present invention;
FIG. 4 is a flowchart of a fingerprint recognition method according to a fourth embodiment of the present invention;
FIG. 5 is a flowchart of a fingerprint recognition method according to a fifth embodiment of the present invention;
FIG. 6 is a flowchart of a fingerprint recognition method according to a sixth embodiment of the present invention;
FIG. 7A is a flowchart of a fingerprint recognition method according to a seventh embodiment of the present invention;
FIG. 7B is a detailed flowchart of a fingerprint identification method according to a seventh embodiment of the present invention;
fig. 8 is a schematic structural diagram of a fingerprint identification device according to an eighth embodiment of the present invention;
fig. 9 is a schematic structural diagram of a fingerprint identification device in a ninth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for convenience of description, only a part of the structures related to the present invention, not all of the structures, are shown in the drawings, and the sequence of the steps of the present embodiment is not limited thereto.
Example one
Fig. 1A is a flowchart of a fingerprint identification method according to an embodiment of the present invention, which is applicable to a situation of identifying a residual fingerprint, and the method may be executed by a fingerprint identification apparatus according to an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, the software may be an authentication application of an internet virtual world, the apparatus may be integrated in any device that requires fingerprint identification, such as a mobile terminal and a fixed terminal, the mobile terminal includes a smart phone, a tablet computer, a PDA, a smart watch, and the like, the fixed terminal includes a desktop computer, an ATM, a door lock, an attendance device, and the like, and as shown in fig. 1, the method specifically includes the following steps:
and S110, acquiring a fingerprint image to be verified.
Specifically, the fingerprint refers to lines generated by the convex and concave unevenness on the skin on the front side of the tail end of the finger of a person. The lines are regularly arranged to form different line types. The starting point, the ending point, the combination point and the bifurcation point of the lines are called minutiae points of the fingerprint. And acquiring a fingerprint image to be verified through fingerprint identification, namely identifying by comparing minutiae characteristic points of different fingerprints. Since each person's fingerprint is different, even among ten fingers of the same person, the fingerprints are also obviously different, so the fingerprints can be used for identity authentication. Because the directions of fingerprint scanning are not the same every time, different force points can bring about deformation of different degrees, and thus a large number of fuzzy fingerprints exist, the key of the fingerprint identification technology is to correctly extract features and realize correct matching.
If a fingerprint is to be identified, a fingerprint database is first established, the original fingerprint data of the fingerprint is used as an initial identification code, the fingerprint scanning system only stores the 'fingerprint data', and the processor encrypts the data. The fingerprint image acquisition used at present is basically based on three technical bases: optical technology, semiconductor silicon technology, ultrasonic technology. Among them, optical technology for fingerprint collection is the most widely used technology with the longest history, and records and verifies fingerprints through light reflection imaging.
And S120, if the fingerprint image to be verified is matched with the historical fingerprint image, refusing to perform fingerprint identification.
The historical fingerprint image, namely the residual fingerprint image, is a stored fingerprint image successfully identified by the user for the last time; the matching of the fingerprint image to be verified and the historical fingerprint image can be carried out by calculating the overlapping degree of the fingerprint image to be verified and the historical fingerprint image, or by calculating the pixel value of the fingerprint image to be verified and the historical fingerprint image after overlapping, or firstly carrying out binarization processing on the fingerprint image to be verified and the historical fingerprint image, then carrying out image overlapping analysis on the image after the binarization processing, and the like. Specifically, the fingerprint identification technology has a good anti-theft function and privacy protection of personal information content. However, the fingerprints are not changeable throughout the life, and if the recorded fingerprints are illegally collected, the fingerprint identification function is used for encrypting a mobile phone, a bank account, a fingerprint door lock and the like, so that great safety hazards exist. For example, when a user loses his/her cell phone, the last fingerprint retained by the fingerprint recognizer will be unlocked if it is clear enough. Therefore, after the fingerprint image to be verified is acquired, it is necessary to determine whether the fingerprint image to be verified is a historical fingerprint image, and if the fingerprint image to be verified is matched with the historical fingerprint image, the fingerprint image to be verified can be determined as a residual fingerprint image, and fingerprint identification is rejected; if the fingerprint image does not match the historical fingerprint image, it can be determined not to be a residual fingerprint image, and fingerprint identification can be performed.
According to the fingerprint identification method provided by the embodiment, the fingerprint image to be verified is matched and analyzed with the historical fingerprint image, so that the situation that a non-user identifies himself by using a residual fingerprint is effectively prevented, and the beneficial effect of improving the fingerprint identification safety is achieved.
On the basis of the above embodiment, the historical fingerprint image may be extracted from a historical fingerprint image database, where the historical fingerprint image database is established by acquiring a used fingerprint image after each successful fingerprint recognition, and using the fingerprint image as the historical fingerprint image.
For example, in an apple mobile phone used by the user a, the index finger fingerprint data of the user a is firstly collected in the mobile phone by pressing the HOME key, so that the mobile phone can be unlocked as long as the fingerprint data of the user can be identified. The fingerprints of the user A which fall on the HOME key are unlocked each time, and the residual fingerprints of the HOME key are different due to different pressing force and ranges. However, as long as the fingerprint is clear, the user B can trigger the touch time of fingerprint identification by only putting an opaque black glass on the HOME key and pressing the black glass, so as to verify that the fingerprint is correct, and then successfully unlock the mobile phone. Specifically, for example, when the user a uses the mobile phone for the last time, the fingerprint left in the HOME key is the fingerprint a, and the collected image is recorded in the historical fingerprint image database as the historical fingerprint image. The user B presses the fingerprint obtained by the residual fingerprint to be the fingerprint B, and now in order to prevent the fingerprint B from being successfully identified, before identifying the fingerprint B, the user B firstly acquires the fingerprint a image recorded in the historical fingerprint image database, matches the fingerprint a image with the fingerprint B image, and if the fingerprint a image is successfully matched with the fingerprint B image, the user B can be determined to be the residual fingerprint image and refuses to carry out fingerprint identification.
And if the fingerprint image to be verified is matched with the historical fingerprint image, the fingerprint image to be verified is a residual fingerprint image, and fingerprint identification is refused. However, if it is determined that the fingerprint image to be verified does not match the historical fingerprint image, which indicates that the fingerprint image to be verified is not a residual fingerprint image, fingerprint identification is performed on the fingerprint image to be verified, and a used fingerprint image is acquired as the historical fingerprint image after each successful fingerprint identification, and a flowchart of the fingerprint identification method is shown in fig. 1B.
For example, if the historical fingerprint image of the user a is fingerprint a, and the user a wants to open the mobile phone again and press the HOME key, the same as the fingerprint a cannot be pressed at the same time, so that a new fingerprint appears, and the fingerprint image to be verified is obtained as fingerprint e through fingerprint identification. And if the fingerprint e is not matched with the historical fingerprint image fingerprint a, the fingerprint e of the fingerprint image to be verified is not a residual fingerprint image, and the used fingerprint image fingerprint e is acquired as a new historical fingerprint image after the fingerprint identification is successful.
Example two
Fig. 2A is a flowchart of a fingerprint identification method according to a second embodiment of the present invention, which is optimized based on the second embodiment of the present invention, and provides a processing method for determining that a fingerprint image to be verified matches a historical fingerprint image, specifically, a fingerprint image to be verified and the historical fingerprint image are superimposed to obtain a superimposed fingerprint image; and determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image, and if the contact ratio exceeds the preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image.
Correspondingly, the method of the embodiment includes:
and S210, acquiring a fingerprint image to be verified.
S220, overlapping the fingerprint image to be verified with the historical fingerprint image to obtain an overlapped fingerprint image.
In order to better determine the matching degree between the fingerprint image to be verified and the historical fingerprint image, the fingerprint image to be verified and the historical fingerprint image need to be overlapped. Wherein, all images of the fingerprint image to be verified and all images of the historical fingerprint image can be used for superposition to obtain a superposed fingerprint image; or after all the images of the fingerprint image to be verified and all the images of the historical fingerprint image are superposed, intercepting part of the images as superposed fingerprint images, wherein the intercepted part can be a middle position or any position; the fingerprint verification method can also be used for intercepting a partial image of the fingerprint image to be verified and a partial image of the historical fingerprint image, and then overlapping the partial images to obtain an overlapped fingerprint, wherein the intercepted image part can be the middle position of the fingerprint image to be verified and the historical fingerprint image or any position set by a user, but the intercepted positions of the fingerprint image to be verified and the historical fingerprint image are ensured to be the same.
And S230, determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image, and if the contact ratio exceeds the preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image and refusing to perform fingerprint identification.
Whether the fingerprint image to be verified is a residual fingerprint or not can be visually observed by utilizing the contact ratio, the preset contact ratio can be a static value default to a system, such as 80%, and can also be any value in a range of 0% -100% set by an individual. Specifically, after the superposed fingerprint image is obtained, the fingerprint identification system performs image processing to obtain the contact ratio between the fingerprint image to be verified and the superposed fingerprint image. If the contact ratio exceeds the preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image, and refusing to perform fingerprint identification; and if the contact ratio does not exceed the preset contact ratio, determining that the fingerprint image to be verified is not matched with the historical fingerprint image, and performing fingerprint identification.
For example, the preset contact ratio of the user a is set as a default static value of 80%. The historical fingerprint image fingerprint a of the user A is acquired as shown in fig. 2B, the fingerprint image fingerprint B to be verified is acquired as shown in fig. 2C, all images of the fingerprint a and all images of the fingerprint B are superposed to obtain a superposed fingerprint image as shown in fig. 2D, and the middle part image is intercepted to be used as a superposed fingerprint image C. The coincidence degree of the fingerprint image b to be verified and the superposed fingerprint image c obtained through image processing is 90%, and the fingerprint image b to be verified is determined to be matched with the historical fingerprint image fingerprint a due to the fact that the coincidence degree exceeds 80%, and therefore fingerprint identification of the fingerprint b is refused. That is, the highest probability of fingerprint b is the residual fingerprint that fingerprint a leaves on the HOME key.
Or, acquiring the historical fingerprint image fingerprint a of the user a as shown in fig. 2E, acquiring the fingerprint image fingerprint b to be verified as shown in fig. 2F, superimposing all images of the fingerprint a with all images of the fingerprint b to obtain a superimposed fingerprint image c as shown in fig. 2G, and as can be seen, the coincidence degree of the fingerprint image fingerprint b to be verified and the superimposed fingerprint image c is relatively low, obtaining the coincidence degree of the fingerprint image fingerprint b to be verified and the superimposed fingerprint image c through image processing as 20%, and determining that the fingerprint image fingerprint b to be verified is not matched with the historical fingerprint image fingerprint a because the coincidence degree is not more than 80%, so as to perform fingerprint identification on the fingerprint b. That is, the fingerprint b has a high probability of being a fingerprint left by the current user, not a residual fingerprint.
According to the fingerprint identification method provided by the embodiment, matching analysis is performed based on the contact ratio of the fingerprint image to be verified and the superposed fingerprint image, so that a non-user is effectively prevented from utilizing a residual fingerprint to identify, and the accuracy and the safety of fingerprint identification are improved.
EXAMPLE III
Fig. 3 is a flowchart of a fingerprint identification method according to a third embodiment of the present invention, which is optimized based on the third embodiment of the present invention, and provides a processing method for determining that a fingerprint image to be verified matches a historical fingerprint image, specifically, a fingerprint image to be verified and the historical fingerprint image are superimposed to obtain a superimposed fingerprint image; and determining the contact ratio of the fingerprint image to be verified and the historical fingerprint image, and if the contact ratio exceeds a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image.
Correspondingly, the method of the embodiment includes:
and S310, acquiring a fingerprint image to be verified.
And S320, overlapping the fingerprint image to be verified and the historical fingerprint image to obtain an overlapped fingerprint image.
S330, determining the contact ratio of the fingerprint image to be verified and the historical fingerprint image, and if the contact ratio exceeds a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image and refusing to perform fingerprint identification.
Similarly, the contact ratio can also be directly determined by a superposed fingerprint image obtained by superposing the fingerprint image to be verified and the historical fingerprint image, and the preset contact ratio can be a default static value of the system, such as 80%, and can also be any value in the range of 0% -100% set by an individual. Specifically, after the superimposed fingerprint image is obtained, the fingerprint identification system obtains the contact ratio of the superimposed fingerprint image through image processing. If the contact ratio exceeds the preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image, and refusing to perform fingerprint identification; and if the contact ratio does not exceed the preset contact ratio, determining that the fingerprint image to be verified is not matched with the historical fingerprint image, and performing fingerprint identification.
Also for example, the preset contact ratio of the user a is set as a default static value of 80%. The historical fingerprint image fingerprint a of the user A is acquired as shown in fig. 2B, the fingerprint image fingerprint B to be verified is acquired as shown in fig. 2C, all images of the fingerprint a and all images of the fingerprint B are superposed to obtain a superposed fingerprint image as shown in fig. 2D, and the middle part image is intercepted to be used as a superposed fingerprint image C. The coincidence degree of the superposed fingerprint image c obtained through image processing is 90%, and since the coincidence degree exceeds the preset coincidence degree of 80%, the fingerprint image b to be verified can be determined to be matched with the historical fingerprint image fingerprint a, and therefore fingerprint identification of the fingerprint b is refused.
According to the fingerprint identification method provided by the embodiment, matching analysis is performed based on the contact ratio of the fingerprint image to be verified and the historical fingerprint image, so that a non-user is effectively prevented from identifying by utilizing a residual fingerprint, and the accuracy and the safety of fingerprint identification are improved.
Example four
Fig. 4 is a flowchart of a fingerprint identification method according to a fourth embodiment of the present invention, where the present embodiment is optimized on the basis of the foregoing embodiment, and provides a processing method for obtaining a superimposed fingerprint image by superimposing the fingerprint image to be verified and the historical fingerprint image, specifically, performing binarization processing on the fingerprint image to be verified and the historical fingerprint image; and superposing the binary image of the fingerprint image to be verified and the binary image of the historical fingerprint image, and taking the obtained binary image as a superposed fingerprint image.
Correspondingly, the method of the embodiment includes:
and S410, acquiring a fingerprint image to be verified.
And S420, carrying out binarization processing on the fingerprint image to be verified and the historical fingerprint image.
The image binarization processing is to set the gray value of a pixel point on an image to be 0 or 255, so that the whole image has an obvious black-and-white effect. Specifically, the acquired fingerprint image to be verified and the extracted historical fingerprint image are both gray level images, each gray level image is composed of black pixel points, white pixel points and gray pixel points with different color depths between the black pixel points and the white pixel points, the gray level corresponding to the pixel points in the gray level image is generally 0-255, the gray level corresponding to the black pixel points is 0, the gray level corresponding to the white pixel points is 255, and the binarization processing of the image is to convert the gray level image with 256 gray levels into an image with only 0 and 255 gray levels, namely only the black pixel points and the white pixel points are included. The binarization processing of the image is performed by selecting a proper threshold, which may be a default static value of the fingerprint identification system, such as 125, or a dynamic value set by a person, and when a gray value of a certain point is greater than or equal to a pixel of the threshold, the gray value of the certain point is classified as 255, otherwise, the pixel point is classified as 0.
And S430, superposing the binary image of the fingerprint image to be verified and the binary image of the historical fingerprint image, and taking the obtained binary image as the superposed fingerprint image.
Specifically, the fingerprint image to be verified after the binarization processing and the historical fingerprint image are subjected to image processing and then superposed to obtain the binarization image. The binarization of the image is beneficial to further processing of the image, so that the image is simple and the data volume is reduced. Or, overlapping the historical fingerprint image and the fingerprint image to be verified, selecting an image at a middle position or any position as an overlapped fingerprint image, performing binarization processing on the overlapped fingerprint image to obtain a binarized overlapped fingerprint image, and finally determining whether the fingerprint image to be verified is matched with the historical fingerprint image or not on the basis of the binarized overlapped fingerprint image.
S440, determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image, and if the contact ratio exceeds a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image and refusing to perform fingerprint identification.
For example, the user a performs binarization processing on the fingerprint a of the historical fingerprint image and the fingerprint B of the fingerprint image to be verified, the threshold value is set to be 125, when the gray value of a certain point is greater than or equal to 125 pixels, the gray value of the point is classified into 255, otherwise, the pixel point is classified into 0, a binarized image aa of the historical fingerprint image and a binarized image bb of the fingerprint image to be verified are obtained, and a superimposed binarized image cc is obtained after superimposition, specifically refer to fig. 2B-2G. And then intercepting and comparing the middle partial image of the fingerprint binary image aa to be verified with the middle partial image of the superposed fingerprint binary image cc. If the coincidence degree exceeds the preset coincidence degree, the fingerprint b of the fingerprint image to be verified can be matched with the fingerprint a of the historical fingerprint image, and therefore the fingerprint b is rejected for fingerprint identification. The preset contact ratio is also a static value which can be a default of the system, such as 80%, and can also be any value in the range of 0% to 100% which is set for an individual.
Or, the user A firstly superimposes the historical fingerprint image fingerprint a and the fingerprint image b to be verified, selects an image at a middle position or any position as a superimposed fingerprint image c, performs binarization processing on the superimposed fingerprint image c to obtain a superimposed fingerprint image cc, and finally determines whether the fingerprint image to be verified is matched with the historical fingerprint image on the basis of the superimposed fingerprint image cc.
According to the fingerprint identification method provided by the embodiment, the fingerprint image to be verified and the historical fingerprint image are subjected to binarization processing, and the coincidence degree of the binarized image is subjected to matching analysis, so that the complexity of image processing is reduced, and the fingerprint identification rate is improved.
EXAMPLE five
Fig. 5 is a flowchart of a fingerprint identification method according to a fifth embodiment of the present invention, which is optimized based on the foregoing embodiments, and provides a processing method for determining a coincidence degree between the fingerprint image to be verified and the superimposed fingerprint image, specifically, comparing pixel values at corresponding positions of the fingerprint image to be verified and the superimposed fingerprint image; and determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image according to the comparison result.
Correspondingly, the method of the embodiment includes:
and S510, acquiring a fingerprint image to be verified.
S520, overlapping the fingerprint image to be verified with the historical fingerprint image to obtain an overlapped fingerprint image.
S530, comparing the pixel values of the fingerprint image to be verified and the corresponding positions of the superposed fingerprint images.
Specifically, the acquired fingerprint image to be verified and the extracted historical fingerprint image are both gray level images, each gray level image is composed of black pixel points, white pixel points and gray pixel points with different color depths among the black pixel points and the white pixel points, the gray pixel value is between 0 and 255, the black pixel value is 0, the white pixel value is 255, the pixel values of the corresponding positions of the fingerprint image to be verified and the superposed fingerprint image are respectively counted, and the contact ratio 1 is obtained through the following formula;
or comparing the pixel values of the acquired fingerprint image to be verified and each position of the superposed fingerprint image one by one, and if the difference value is small, determining that the pixel values are consistent. The percentage of the consistent pixels in the total pixels is counted, and the percentage is taken as the contact ratio 2, and the following formula is adopted:
and S540, determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image according to the comparison result, and if the contact ratio exceeds the preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image, and refusing to perform fingerprint identification.
Similarly, the preset overlap ratio may be a static value default to the system, such as 80%, or may be any value in the range of 0% to 100% set for the individual. If the contact ratio exceeds or is equal to a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image, and refusing fingerprint identification; and if the contact ratio does not exceed the preset contact ratio, determining that the fingerprint image to be verified is not matched with the historical fingerprint image, and performing fingerprint identification.
For example, the user a uses a default preset contact ratio static value of the system to superimpose the historical fingerprint image fingerprint a and the fingerprint image fingerprint b to be verified to obtain a superimposed fingerprint image c, respectively counts pixel values at corresponding positions of the fingerprint image fingerprint a to be verified and the superimposed fingerprint image c, calculates the contact ratio 2 to obtain 80%, determines that the fingerprint image to be verified is matched with the historical fingerprint image because the contact ratio is equal to the preset contact ratio 80%, and refuses to perform fingerprint identification.
According to the fingerprint identification method provided by the embodiment, the pixel values of the corresponding positions of the fingerprint image to be verified and the superposed fingerprint image are compared, and the contact ratio is determined according to the comparison result for matching analysis, so that the accuracy of fingerprint identification is improved.
EXAMPLE six
Fig. 6 is a flowchart of a fingerprint identification method according to a sixth embodiment of the present invention, where the present embodiment further includes, on the basis of the foregoing embodiment: the method also comprises the following steps after the fingerprint identification is refused: vein data is collected for vein recognition.
Correspondingly, the method of the embodiment includes:
s610, acquiring a fingerprint image to be verified.
S620, if the fingerprint image to be verified is matched with the historical fingerprint image, refusing to perform fingerprint identification.
And S630, collecting vein data for vein recognition.
Specifically, under the condition that the time for acquiring the fingerprint image to be verified and the historical fingerprint image is short, the fingerprint image to be verified and the historical fingerprint image may be caused, and then vein data of the user is further acquired for vein identification. Among them, vein recognition is one of biometrics. The vein recognition system adopts a mode that a vein recognition instrument obtains a personal vein distribution diagram, characteristic values are extracted from the vein distribution diagram according to a special comparison algorithm, and a mode that an infrared CCD camera obtains images of veins of fingers, palms and backs of hands, digital images of the veins are stored in a computer system, so that the characteristic values are stored. When vein is compared, a vein image is adopted in real time, advanced filtering, image binarization and thinning means are used for extracting features of the digital image, and a complex matching algorithm is adopted to compare and match the vein feature values stored in the host computer, so that identity identification is carried out on an individual, and the identity is confirmed. The vein recognition is divided into: finger vein recognition and palm vein recognition. The finger vein recognition has the characteristics of large capacity, high recognition speed, high accuracy and the like.
The fingerprint identification system carries out vein identification on the fingerprint, can collect the front side of the mobile terminal and also can collect the back side of the mobile terminal, simultaneously collects vein data information of an authenticatee in the fingerprint collection process, preferentially judges the fingerprint information, continuously judges the vein data in the state that the fingerprint information is judged to be a residual fingerprint, and finally, if the vein data to be verified is consistent with the vein data stored by a user, the identification is successful; and if the vein data to be verified is inconsistent with the vein data stored by the user, the identification fails, and the mobile terminal stores the vein data information and locks the mobile terminal at the same time.
For example, if the fingerprint obtained by pressing the residual fingerprint by the user B is the fingerprint B, the fingerprint image to be verified B is matched with the historical fingerprint image fingerprint a image, and if the matching is successful, vein recognition is performed on the fingerprint image to be verified B. The mobile phone collects vein data information of the back of the user B, and the vein data information is compared with vein data information of the user A stored in the mobile phone. And the matching is not successful, so that the identification is failed, the vein data information of the user B is recorded, and the mobile phone is locked.
The fingerprint identification method provided by the embodiment carries out vein identification by collecting vein data, further carries out further analysis on users who fail in fingerprint matching, reduces identification errors of the mobile terminal, is beneficial to recording vein data information of illegal users, carries out identity authentication and improves the use safety of the users.
EXAMPLE seven
Fig. 7A is a flowchart of a fingerprint identification method according to a seventh embodiment of the present invention, where the present embodiment further includes, on the basis of the foregoing embodiment: determining the time difference between the acquisition of the fingerprint image to be verified and the acquisition of the historical fingerprint image; and if the time difference exceeds the preset time length, triggering to execute matching operation.
Correspondingly, the method of the embodiment includes:
and S710, determining the time difference between the fingerprint image to be verified and the historical fingerprint image.
Specifically, the user may have the fingerprint image to be verified identical to the historical fingerprint image within a very short time; when the time exceeds a certain time, the probability that the fingerprint image to be verified is completely the same as the historical fingerprint image is very small. Therefore, it is necessary to obtain the time difference between the fingerprint image to be authenticated and the historical fingerprint image acquisition, and analyze the time difference.
And S720, if the time difference exceeds the preset time length, triggering to execute matching operation.
The preset duration may be a static value default to the system, such as 10min, or an arbitrary value set by a person, such as 1min, 2min, 3min, or the like. And when the time difference between the fingerprint image to be verified and the historical fingerprint image exceeds the preset time length, triggering matching operation, and verifying whether the fingerprint image to be verified is consistent with the historical fingerprint image.
And S730, acquiring a fingerprint image to be verified.
And S740, if the fingerprint image to be verified is matched with the historical fingerprint image, refusing to perform fingerprint identification.
For example, the user a adopts a default preset time duration of 10min, the time difference between the fingerprint B of the fingerprint image to be verified and the fingerprint a of the historical fingerprint image is 15min, and since the time difference exceeds the preset time duration of 10min, the fingerprint B of the fingerprint image to be verified is obtained, and an operation of determining whether the fingerprint B of the fingerprint image to be verified and the fingerprint a of the historical fingerprint image are matched is triggered, as shown in fig. 7B.
According to the fingerprint identification method provided by the embodiment, whether matching operation is triggered to be executed or not is judged by determining the time difference between the fingerprint image to be verified and the historical fingerprint image, so that the completeness of fingerprint identification is improved.
Example eight
Fig. 8 is a schematic structural diagram of a fingerprint identification apparatus according to an eighth embodiment of the present invention, where this embodiment is applicable to a situation of identifying a residual fingerprint, and the method may be executed by the fingerprint identification apparatus according to the eighth embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, the software may be an authentication application of an internet virtual world, and the apparatus may be integrated in any device that needs fingerprint identification, such as a mobile terminal and a fixed terminal, where the mobile terminal includes a smart phone, a tablet computer, a PDA, a smart watch, and the like, and the fixed terminal includes a desktop computer, an ATM, a door lock, an attendance device, and the like, and as shown in fig. 8, the method specifically includes: a fingerprint image acquisition module 81 and a fingerprint identification module 82.
The fingerprint image obtaining module 81 is used for obtaining a fingerprint image to be verified;
the fingerprint identification module 82 is configured to refuse to perform fingerprint identification if it is determined that the fingerprint image to be verified matches the historical fingerprint image.
The fingerprint identification apparatus of this embodiment is configured to execute the fingerprint identification method of the foregoing embodiments, and the technical principle and the generated technical effect are similar, which are not described herein again.
Example nine
Fig. 9 is a schematic structural diagram of a fingerprint identification device according to a sixth embodiment of the present invention, as shown in fig. 9:
on the basis of the above embodiment, the fingerprint identification module 82 specifically includes a fingerprint image superimposing unit 91 and a contact ratio determining unit 92;
the fingerprint image overlapping unit 91 is configured to overlap the fingerprint image to be verified and the historical fingerprint image to obtain an overlapped fingerprint image;
the contact ratio determining unit 92 is configured to determine a contact ratio between the fingerprint image to be verified and the superimposed fingerprint image, and if the contact ratio exceeds a preset contact ratio, determine that the fingerprint image to be verified matches the historical fingerprint image; or determining the contact ratio of the fingerprint image to be verified and the historical fingerprint image, and if the contact ratio exceeds a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image.
On the basis of the foregoing embodiment, the fingerprint image superimposing unit 91 is specifically configured to perform binarization processing on the fingerprint image to be verified and the historical fingerprint image; and superposing the binary image of the fingerprint image to be verified and the binary image of the historical fingerprint image, and taking the obtained binary image as the superposed fingerprint image.
On the basis of the foregoing embodiment, the overlap ratio determining unit 92 is specifically configured to compare pixel values at corresponding positions of the fingerprint image to be verified and the superimposed fingerprint image; and determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image according to the comparison result.
On the basis of the above embodiment, the fingerprint identification module 82 is further configured to: and if the fingerprint image to be verified is determined not to be matched with the historical fingerprint image, using the fingerprint image to be verified to perform fingerprint identification.
On the basis of the above embodiment, the apparatus further includes: a vein recognition module 93;
the vein recognition module 93 is configured to collect vein data for vein recognition after the fingerprint recognition module 82 rejects fingerprint recognition.
On the basis of the above embodiment, the apparatus further includes: a database module 94;
the database module 94 is configured to acquire a used fingerprint image after each successful fingerprint identification, and form a historical fingerprint image database by using the fingerprint image as a historical fingerprint image.
On the basis of the above embodiment, the apparatus further includes: a time difference determination module 95;
the time difference determining module 95 is configured to determine a time difference between the acquisition of the fingerprint image to be verified and the acquisition of the historical fingerprint image; and if the time difference exceeds the preset time length, triggering to execute matching operation.
The device can execute the methods provided by all the embodiments of the invention, and has corresponding functional modules and beneficial effects for executing the methods. For details not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the present invention.
The fingerprint identification apparatus of this embodiment is configured to execute the fingerprint identification method of the foregoing embodiments, and the technical principle and the generated technical effect are similar, which are not described herein again.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A method of fingerprint recognition, comprising:
acquiring a fingerprint image to be verified;
determining the time difference between the acquisition of the fingerprint image to be verified and the acquisition of the historical fingerprint image;
if the time difference exceeds the preset time length, triggering to execute matching operation;
if the fingerprint image to be verified is matched with the historical fingerprint image, refusing to perform fingerprint identification, wherein the historical fingerprint image is the stored fingerprint image successfully identified by the user for the last time;
determining that the fingerprint image to be verified matches a historical fingerprint image comprises:
overlapping the fingerprint image to be verified with the historical fingerprint image to obtain an overlapped fingerprint image;
determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image, and if the contact ratio exceeds a preset contact ratio, determining that the fingerprint image to be verified is matched with the historical fingerprint image;
wherein determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image comprises:
comparing pixel values of corresponding positions of the fingerprint image to be verified and the superposed fingerprint image;
and determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image according to the comparison result.
2. The method according to claim 1, wherein the step of superimposing the fingerprint image to be verified with the historical fingerprint image to obtain a superimposed fingerprint image comprises:
carrying out binarization processing on the fingerprint image to be verified and the historical fingerprint image;
and superposing the binary image of the fingerprint image to be verified and the binary image of the historical fingerprint image, and taking the obtained binary image as the superposed fingerprint image.
3. The method of claim 1 or 2, further comprising:
and if the fingerprint image to be verified is determined not to be matched with the historical fingerprint image, using the fingerprint image to be verified to perform fingerprint identification.
4. The method of claim 1 or 2, further comprising, after denying fingerprinting:
vein data is collected for vein recognition.
5. The method of claim 1 or 2, further comprising:
and acquiring a used fingerprint image after fingerprint identification is successful every time, and forming a historical fingerprint image database by taking the fingerprint image as a historical fingerprint image.
6. An apparatus for fingerprint recognition, comprising:
the fingerprint image acquisition module is used for acquiring a fingerprint image to be verified;
the time difference determining module is used for determining the time difference between the fingerprint image to be verified and the historical fingerprint image;
if the time difference exceeds the preset time length, triggering and executing the matching operation of the fingerprint identification module;
the fingerprint identification module is used for refusing fingerprint identification if the fingerprint image to be verified is determined to be matched with a historical fingerprint image, wherein the historical fingerprint image is a stored fingerprint image successfully identified by the user for the last time;
the fingerprint identification module specifically comprises a fingerprint identification module,
the fingerprint image overlapping unit is used for overlapping the fingerprint image to be verified and the historical fingerprint image to obtain an overlapped fingerprint image;
the coincidence degree determining unit is used for determining the coincidence degree of the fingerprint image to be verified and the superposed fingerprint image, and if the coincidence degree exceeds a preset coincidence degree, determining that the fingerprint image to be verified is matched with the historical fingerprint image;
wherein the contact ratio determination unit is specifically configured to,
comparing pixel values of corresponding positions of the fingerprint image to be verified and the superposed fingerprint image;
and determining the contact ratio of the fingerprint image to be verified and the superposed fingerprint image according to the comparison result.
7. The apparatus according to claim 6, characterized in that the fingerprint image superimposing unit is specifically adapted to,
carrying out binarization processing on the fingerprint image to be verified and the historical fingerprint image;
and superposing the binary image of the fingerprint image to be verified and the binary image of the historical fingerprint image, and taking the obtained binary image as the superposed fingerprint image.
8. The apparatus of claim 6 or 7, wherein the fingerprint identification module is further configured to:
and if the fingerprint image to be verified is determined not to be matched with the historical fingerprint image, using the fingerprint image to be verified to perform fingerprint identification.
9. The apparatus of claim 6 or 7, further comprising:
and the vein identification module is used for collecting vein data for vein identification after the fingerprint identification module refuses fingerprint identification.
10. The apparatus of claim 6 or 7, further comprising:
and the database module is used for acquiring the used fingerprint image after the fingerprint identification is successful every time, and forming a historical fingerprint image database by taking the fingerprint image as a historical fingerprint image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610917749.1A CN106485125B (en) | 2016-10-21 | 2016-10-21 | Fingerprint identification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610917749.1A CN106485125B (en) | 2016-10-21 | 2016-10-21 | Fingerprint identification method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106485125A CN106485125A (en) | 2017-03-08 |
| CN106485125B true CN106485125B (en) | 2020-05-05 |
Family
ID=58270412
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610917749.1A Active CN106485125B (en) | 2016-10-21 | 2016-10-21 | Fingerprint identification method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106485125B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110390230B (en) * | 2018-04-20 | 2022-03-18 | 比亚迪半导体股份有限公司 | Fingerprint identification module abnormity determination method and device, storage medium and electronic equipment |
| CN110390231B (en) * | 2018-04-20 | 2022-05-20 | 比亚迪半导体股份有限公司 | Fingerprint identification module abnormity determination method and device, storage medium and electronic equipment |
| CN109598111A (en) * | 2018-10-25 | 2019-04-09 | 厦门科路德科技有限公司 | A kind of bullet cabinet control method and device of combination face and Application on Voiceprint Recognition |
| CN109726673B (en) * | 2018-12-28 | 2021-06-25 | 北京金博星指纹识别科技有限公司 | Real-time fingerprint identification method, system and computer readable storage medium |
| CN109977883B (en) * | 2019-03-29 | 2021-05-18 | 联想(北京)有限公司 | Fingerprint acquisition method and electronic equipment |
| CN110909331A (en) * | 2019-10-23 | 2020-03-24 | 北京迈格威科技有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN111461016B (en) * | 2020-04-01 | 2024-07-26 | 联想(北京)有限公司 | Method and device for determining trace residues and electronic equipment |
| WO2021217476A1 (en) * | 2020-04-29 | 2021-11-04 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method, apparatus, and electronic device |
| CN111242111B (en) * | 2020-04-29 | 2020-09-25 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method and device and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1521684A (en) * | 2003-02-13 | 2004-08-18 | 合肥工业大学 | Synergic fingerprint identification method |
| CN1573796A (en) * | 2003-06-13 | 2005-02-02 | 索尼株式会社 | Image verification system and image verification method |
| CN101485570A (en) * | 2008-01-16 | 2009-07-22 | 索尼株式会社 | Vein authentication device and vein authentication method |
| CN101794386A (en) * | 2010-03-24 | 2010-08-04 | 成都方程式电子有限公司 | Fingerprint identification system and method for resisting remaining fingerprint |
| CN105912918A (en) * | 2016-06-17 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040260682A1 (en) * | 2003-06-19 | 2004-12-23 | Microsoft Corporation | System and method for identifying content and managing information corresponding to objects in a signal |
-
2016
- 2016-10-21 CN CN201610917749.1A patent/CN106485125B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1521684A (en) * | 2003-02-13 | 2004-08-18 | 合肥工业大学 | Synergic fingerprint identification method |
| CN1573796A (en) * | 2003-06-13 | 2005-02-02 | 索尼株式会社 | Image verification system and image verification method |
| CN101485570A (en) * | 2008-01-16 | 2009-07-22 | 索尼株式会社 | Vein authentication device and vein authentication method |
| CN101794386A (en) * | 2010-03-24 | 2010-08-04 | 成都方程式电子有限公司 | Fingerprint identification system and method for resisting remaining fingerprint |
| CN105912918A (en) * | 2016-06-17 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106485125A (en) | 2017-03-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106485125B (en) | Fingerprint identification method and device | |
| Holz et al. | Bodyprint: Biometric user identification on mobile devices using the capacitive touchscreen to scan body parts | |
| US10664581B2 (en) | Biometric-based authentication method, apparatus and system | |
| Jain et al. | Biometrics of next generation: An overview | |
| Buciu et al. | Biometrics systems and technologies: A survey | |
| CN105868613A (en) | Biometric feature recognition method, biometric feature recognition device and mobile terminal | |
| US20150049922A1 (en) | Method for logging a user in to a mobile device | |
| US20120051605A1 (en) | Method and apparatus of a gesture based biometric system | |
| EP3163926A1 (en) | User authentication method and system using variable keypad and biometric identification | |
| US11997087B2 (en) | Mobile enrollment using a known biometric | |
| CA2230279A1 (en) | Method of gathering biometric information | |
| Rathod et al. | A survey on fingerprint biometric recognition system | |
| CN103269481A (en) | Method and system for encrypting and protecting procedure or file of portable electronic equipment | |
| CN107615301A (en) | The safety storage of fingerprint coherent element | |
| Rubella et al. | Fingerprint based license checking for auto-mobiles | |
| CN106529243A (en) | Identity authentication method, device and terminal | |
| JP4588577B2 (en) | Palmprint authentication apparatus, palmprint authentication program, palmprint authentication method, palmprint image extraction method, and mobile phone terminal provided with palmprint authentication apparatus | |
| Pan et al. | Securitas: user identification through rgb-nir camera pair on mobile devices | |
| Vijayalakshmi et al. | Finger and palm print based multibiometric authentication system with GUI interface | |
| Sharma et al. | Encryption of text using fingerprints as input to various algorithms | |
| Stragapede et al. | Mobile passive authentication through touchscreen and background sensor data | |
| JP5531585B2 (en) | Biological information processing apparatus, biological information processing method, biological information processing system, and computer program for biological information processing | |
| Sivakumar | Biometric authentication techniques and its future | |
| Ungureanu et al. | Palm print as a smartphone biometric: Another option for digital privacy and security | |
| Venkata Ramana et al. | Hybrid biometric based person identification using machine learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 200233 Shanghai, Jinshan District Ting Wei Road, building 1419, room 4, No. 6558 Applicant after: Shanghai Hede Intelligent Equipment Co.,Ltd. Address before: 200233 Shanghai, Jinshan District Ting Wei Road, building 1419, room 4, No. 6558 Applicant before: SHANGHAI YUDE INFORMATION TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200324 Address after: 750021 No.2 Shuangyong street, Xixia District, Yinchuan City, Ningxia Hui Autonomous Region Applicant after: Zhao Chengzhi Address before: 200233 Shanghai, Jinshan District Ting Wei Road, building 1419, room 4, No. 6558 Applicant before: Shanghai Hede Intelligent Equipment Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200407 Address after: 518000 East, 2 / F, building a, No. 8, Xinfa south 2nd Road, Xinqiao community, Shajing street, Bao'an District, Shenzhen City, Guangdong Province Applicant after: Shenzhen shangyouxiang Electronic Co.,Ltd. Address before: 750021 No.2 Shuangyong street, Xixia District, Yinchuan City, Ningxia Hui Autonomous Region Applicant before: Zhao Chengzhi |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |