CN106203034B - A kind of unlocked by fingerprint method and terminal - Google Patents
A kind of unlocked by fingerprint method and terminal Download PDFInfo
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- CN106203034B CN106203034B CN201610503615.5A CN201610503615A CN106203034B CN 106203034 B CN106203034 B CN 106203034B CN 201610503615 A CN201610503615 A CN 201610503615A CN 106203034 B CN106203034 B CN 106203034B
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
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- 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
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Abstract
The embodiment of the invention discloses a kind of unlocked by fingerprint method and terminal, this method includes：Obtain fingerprint image, the fingerprint image is matched with M preset fingerprint template of the first kind fingerprint template in preset fingerprint template set, the preset fingerprint template set also includes Equations of The Second Kind fingerprint template, it includes N M preset fingerprint templates, N number of preset fingerprint template belongs to same fingerprint, the N is the integer more than M, the M is positive integer, any one in the fingerprint image and the M preset fingerprint template is when the match is successful, the fingerprint image is matched with the N M preset fingerprint templates, any one in the fingerprint image and the N M preset fingerprint templates is when the match is successful, realize unlocked by fingerprint.First fingerprint image can be matched with first kind fingerprint template, if the match is successful, just be matched with Equations of The Second Kind fingerprint template by the embodiment of the present invention, therefore, matching efficiency can be improved, to lift unlocked by fingerprint efficiency.
Description
Technical Field
The invention relates to the technical field of electronic equipment, in particular to fingerprint unlocking and a terminal.
Background
With the rapid development of information technology, the use of terminals (such as mobile phones, tablet computers, etc.) is becoming more and more popular. The fingerprint identification technology is used as a standard matching technology on the terminal, and can be widely applied to unlocking, awakening, mobile payment and the like of the terminal. While fingerprint identification technology is popular, in order to achieve quick unlocking, the unlocking time of the terminal is also a direct concern for terminal manufacturers.
Under the general condition, can type in the fingerprint of a plurality of fingers in the terminal, each fingerprint all has a fingerprint template set of predetermineeing that belongs to oneself, should predetermine fingerprint template and concentrate and contain a plurality of fingerprint templates of predetermineeing, consequently, realize the in-process of fingerprint unblock, often can match the fingerprint image of gathering with a plurality of fingerprint template sets of predetermineeing that a plurality of fingerprints correspond, therefore, fingerprint unblock efficiency is lower.
Disclosure of Invention
The embodiment of the invention provides a fingerprint unlocking method and a terminal, aiming at improving the fingerprint unlocking efficiency.
The first aspect of the embodiments of the present invention provides a fingerprint unlocking method, including:
acquiring a fingerprint image;
matching the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer;
when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
and when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is realized.
A second aspect of an embodiment of the present invention provides a terminal, including:
an acquisition unit configured to acquire a fingerprint image;
the matching unit is used for matching the fingerprint image acquired by the acquisition unit with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer;
the matching unit is further configured to:
when the matching result of the matching unit is that the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
and the unlocking unit is used for realizing fingerprint unlocking when the matching result of the matching unit is that the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates.
A third aspect of an embodiment of the present invention provides a terminal, including:
a processor and a memory;
wherein the processor is configured to call the executable program code in the memory, and perform part or all of the steps of the first aspect.
The embodiment of the invention has the following beneficial effects:
it can be seen that, in the embodiment of the present invention, a fingerprint image is obtained, and the fingerprint image is matched with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set further includes a second type of fingerprint template, which includes N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer greater than M, and M is a positive integer, when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, the fingerprint image is matched with the N-M preset fingerprint templates, and when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is achieved. Therefore, when the fingerprint image is matched with the preset fingerprint templates, the fingerprint image can be matched with the first type of fingerprint template, and if the fingerprint image is successfully matched with the second type of fingerprint template, the matching efficiency can be improved, and the fingerprint unlocking efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a first embodiment of a fingerprint unlocking method disclosed in an embodiment of the present invention;
fig. 2 is a flowchart illustrating a second embodiment of a fingerprint unlocking method according to an embodiment of the present invention;
fig. 3a is a schematic structural diagram of a first embodiment of a terminal according to an embodiment of the present invention;
fig. 3b is a schematic structural diagram of a matching unit of the terminal depicted in fig. 3a disclosed in the embodiment of the present invention;
fig. 3c is a schematic structural diagram of the first embodiment of the terminal according to the embodiment of the present invention;
fig. 3d is a schematic structural diagram of the first embodiment of the terminal according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a second embodiment of a terminal disclosed in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a mobile phone disclosed in the embodiment of the present 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 some, not all, embodiments of the present invention. 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 terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The terminal described in the embodiment of the present invention may include a smart Phone (such as an Android Phone, an iOS Phone, a Windows Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device (MID, mobile internet Devices), or a wearable device, and the terminal is merely an example, and is not exhaustive and includes but is not limited to the terminal.
Fig. 1 is a schematic flowchart illustrating a fingerprint unlocking process according to a first embodiment of the present invention. The fingerprint unlocking described in this embodiment includes the following steps:
101. a fingerprint image is acquired.
In the concrete realization, in the user's process of pressing the fingerprint identification module, the collection scope of fingerprint identification module is confirmed to terminal accessible fingerprint identification module to divide above-mentioned collection scope into a plurality of regions, acquire the fingerprint image that the regional correspondence of signal-to-noise ratio is the biggest in these a plurality of regions. Wherein, the collection scope mainly indicates that the user presses the effective range of pressing of fingerprint identification module, and the fingerprint identification module is gathered the pixel by a plurality of induction electrode of fingerprint collection chip, is 0 at the capacitance value that the induction electrode that the position that is not pressed corresponds gathered, and the capacitance value that the induction electrode that the position that is pressed corresponds gathered is greater than 0.
Optionally, the fingerprint image can be the fingerprint image of gathering at the in-process that the user pressed the fingerprint identification module, or, can be the fingerprint image of saving in locally.
Optionally, step 101 may further include the following steps:
11) when a user presses the fingerprint identification module, the fingerprint identification module is utilized to collect a plurality of capacitance values;
12) dividing the area where the plurality of capacitance values are located into a plurality of sub-areas;
13) selecting at least one capacitance value from each of the plurality of sub-regions;
14) calculating the mean value of the selected capacitance values;
15) carrying out binarization processing on the plurality of capacitance values according to the average value;
16) and converting the plurality of capacitance values after the binarization processing into a fingerprint image.
By the above, above-mentioned a plurality of capacitance values can be for the user presses the fingerprint identification module in-process, can generate the fingerprint image by a plurality of capacitance values that the capacitance value changes. Specifically, the area where the plurality of capacitance values are located may be divided into a plurality of sub-areas, the number of the sub-areas may be 2, 3, 4, and so on, and the number of the pixels included in each sub-area may be the same or the number of the pixels included in some sub-areas may be the same. And then at least one capacitance value is selected from each sub-area in the plurality of sub-areas, so that the capacitance values can be sampled in the area range as much as possible, then the obtained capacitance values are averaged, and the average value is used as a binarization threshold value, so that the accuracy of the binarization threshold value can be improved, and the fingerprint image after binarization processing contains feature points or feature lines as much as possible.
102. And matching the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer.
The preset fingerprint template set comprises N preset fingerprint templates belonging to the same fingerprint, the N preset fingerprint templates comprise two types of fingerprint templates, the first type of fingerprint template comprises M preset fingerprint templates, the second type of fingerprint template comprises N-M preset fingerprint templates, N is an integer larger than M, and M is a positive integer. As for how to divide the N preset fingerprint templates in the preset fingerprint template set into two types, reference may be made to a manner, for example, to randomly select M preset fingerprint templates of the N preset fingerprint templates as a first type fingerprint template, and then, to use the remaining preset fingerprint templates as a second type fingerprint template; for another example, N preset fingerprint templates are sorted in order of the number of times of successful matching from large to small, M preset fingerprint templates with the smallest number of successful matching are used as the first type of fingerprint templates, and then the remaining preset fingerprint templates are used as the second type of fingerprint templates.
Optionally, step 102 may comprise the steps of:
21) extracting characteristic points of the fingerprint image;
22) acquiring the characteristic points of M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set to obtain M groups of characteristic points;
23) and matching the feature points of the fingerprint image with the M groups of feature points according to the multi-priority matching principle of the number of the feature points.
From the above, the feature points of the fingerprint image can be extracted, wherein the extraction algorithm of the feature points can include, but is not limited to: a Harris corner extraction algorithm, a Scale Invariant Feature Transform (SIFT), and the like, although other algorithms may also be used, and are not limited herein. Similarly, the feature points of the M preset fingerprint templates of the first type fingerprint template in the preset fingerprint template set are extracted according to the same method, and each preset fingerprint template includes a group of feature points. Of course, the feature points of the M preset fingerprint templates of the first type fingerprint template in the preset fingerprint template set may be predetermined before performing step 101, and then, the M groups of feature points are saved. The M groups of feature points may be sorted, and then, the feature points of the fingerprint image are matched with the M groups of feature points according to the principle that the number of feature points is more than the priority, that is, a group with the largest number of feature points in the M groups of feature points is matched with the fingerprint image at first, and if the matching fails, a group with the second largest number of feature points in the M groups of feature points is matched with the fingerprint image, and so on.
Optionally, of course, step 102 may also adopt a plurality of threads or processes, and match the fingerprint image with M preset fingerprint templates of the first type fingerprint template in the preset fingerprint template set in parallel, for example, M processes, each of which is used to match the fingerprint image with one of the M preset fingerprint templates.
Optionally, in step 102, the fingerprint image may also be matched with M preset fingerprint templates of the first type fingerprint template in the preset fingerprint template set according to a random order.
Optionally, when the fingerprint image does not match with the M preset fingerprint templates, it may be indicated that the fingerprint image does not come from the fingerprint to which the M preset fingerprint templates belong, and the user may be prompted to re-input the fingerprint image, or the fingerprint image may be matched with another preset fingerprint template set.
103. And when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates.
Optionally, step 103 may include the steps of:
31) acquiring the matching frequency of the N-M preset fingerprint templates;
32) and matching the fingerprint image with the N-M preset fingerprint templates according to the sequence of the matching frequency from high to low.
As can be seen from the above, the matching frequencies of the N-M preset fingerprint templates may be obtained in advance before step 101, and the matching frequency for any one preset fingerprint template may be calculated according to the following formula:
matching frequency is matched times/unlocking times;
optionally, some preset fingerprint templates may not be matched because not all preset fingerprint templates are matched during each unlocking process. The preset fingerprint template with high matching frequency can be preferentially matched with the N-M preset fingerprint templates, the step 104 can be executed as long as the fingerprint image is successfully matched with one of the N-M preset fingerprint templates, and when the fingerprint image is successfully matched with one of the N-M preset fingerprint templates, the unmatched preset fingerprint templates are left and are not matched in the unlocking process.
104. And when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is realized.
When the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking can be realized, and the fingerprint unlocking comprises the function of unlocking by adopting a fingerprint related to all aspects in the terminal. For example, when the terminal is in a screen-off state, fingerprint unlocking is realized, a display screen of the terminal is lightened, and an unlocked desktop is displayed; or when the terminal is in a bright screen state, fingerprint unlocking is realized, and the unlocked desktop is displayed; or, when the terminal is in an unlocked state, unlocking at least one application of the terminal, namely starting the at least one application or displaying a preset page of one application in the at least one application; or, when the terminal is in the screen-off state, at least one application of the terminal may be unlocked, that is, the at least one application is started or a preset page of one application of the at least one application is displayed. The above-mentioned application can be payment fingerprint unblock application, file fingerprint unblock application, or other APP's fingerprint unblock application. The preset page can be a main page or any page which is preset in an application and is bound with the fingerprint.
It should be noted that, in this embodiment, the fingerprint image is matched with the first type fingerprint template and the second type fingerprint template in the preset fingerprint template set twice, in the two matching processes, two unlocking thresholds may be set, and a first unlocking threshold corresponding to successful matching in step 102 and a second unlocking threshold corresponding to successful matching in step 103 are respectively set, where the first unlocking threshold is less than or equal to the second unlocking threshold, and the following description is divided into two application scenarios, which are specifically as follows:
in the first application scenario, when the first unlocking threshold is smaller than the second unlocking threshold, the matching process in step 102 may be regarded as a pre-matching, and the matching process in step 104 may be regarded as a formal matching. If a plurality of preset fingerprint template sets are stored in the terminal, each preset fingerprint template set comprises a plurality of preset fingerprint templates, and when a user inputs a fingerprint image, the terminal cannot quickly know which preset fingerprint template set the fingerprint image belongs to, so that the terminal needs to firstly determine which preset fingerprint template set the fingerprint image belongs to, and then match the fingerprint image with the plurality of preset fingerprint templates in the preset fingerprint template set to which the fingerprint image belongs. Therefore, in this embodiment, the fingerprint image may be matched with the first type of fingerprint template in each of the plurality of preset fingerprint template sets, if the fingerprint image is successfully matched with the first type of fingerprint template in a certain preset fingerprint template set, it is indicated that the fingerprint image is likely to belong to the fingerprint corresponding to the preset fingerprint template set, and then the fingerprint image is matched with the second type of fingerprint template in the preset fingerprint template set.
In the second application scenario, when the first unlocking threshold is equal to the second unlocking threshold, the matching process in step 102 may be regarded as the first matching, and the matching process in step 103 may be regarded as the second matching. And the security of the terminal can be improved by two times of matching.
It can be seen from the above that, when the fingerprint image is matched with a plurality of preset fingerprint templates in the preset fingerprint template set, the fingerprint image may be matched with a part of fingerprint templates first, if the matching is successful, the fingerprint image is matched with another part of fingerprint templates, if the matching is unsuccessful, the user is prompted to input the fingerprint image again, or the fingerprint image is matched with another preset fingerprint template set, the first matching is equivalent to the preset matching, if the matching is unsuccessful, the fingerprint image is not from the fingerprint corresponding to the preset fingerprint template, the matching process is terminated, if the matching is successful, the fingerprint image is largely from the fingerprint corresponding to the preset fingerprint template, and particularly when the plurality of preset fingerprint template sets are stored in the terminal, the matching efficiency can be improved, so as to improve the fingerprint unlocking efficiency.
In accordance with the foregoing embodiment, please refer to fig. 2, which is a flowchart illustrating a fingerprint unlocking method according to a second embodiment of the present invention. The fingerprint unlocking method described in the embodiment includes the following steps:
201. matching every two preset fingerprint templates in a preset fingerprint template set to obtain K matching values, wherein the N preset fingerprint templates belong to the same fingerprint, and N and K are positive integers.
The preset fingerprint template set comprises N preset fingerprint templates, and K matching values can be obtained by matching the N preset fingerprint templates pairwise, for example, three preset fingerprint templates of A, B and C can be matched with the A and the B, the B and the C and the A and the C to obtain three matching values. As can be readily appreciated from knowledge of the permutation and combination, the permutation and combination belong to the prior art, and are not described more than here.
202. And determining the association degree of each preset fingerprint template in the N preset fingerprint templates according to the K matching values.
Alternatively, the association degree may be defined as the association degree between each preset fingerprint template and other preset fingerprint templates, and may be determined according to the association degreeThe matching values determine the degree of association of each preset fingerprint template in the N preset fingerprint templates, and the method specifically includes the following steps:
21) determining N-1 matching values between a preset fingerprint template i and other preset fingerprint templates except the preset fingerprint template i in the N preset fingerprint templates, wherein the preset fingerprint template i is one of the N preset fingerprint templates;
22) calculating the sum of N-1 matching values;
23) and the association degree of the preset fingerprint template i is equal to the sum of N-1 matching values/N.
203. Selecting M preset fingerprint templates with the lowest correlation degree from the N preset fingerprint templates as a first type of fingerprint template, and taking N-M preset fingerprint templates except the M preset fingerprint templates from the N preset fingerprint templates as a second type of fingerprint template, wherein M is a positive integer, and N is larger than M.
The N association degrees obtained in step 202 may be sorted from small to large, and the top M preset fingerprint templates are selected as the first fingerprint template, and the others are selected as the second type fingerprint templates.
204. A fingerprint image is acquired.
205. And matching the fingerprint image with the M preset fingerprint templates.
206. And when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates.
207. And when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is realized.
For a detailed explanation of the embodiments of the present invention, reference is made to the explanation of the steps of the embodiments corresponding to fig. 1, which is not described in detail herein.
The following is a device for implementing the fingerprint unlocking method described in fig. 1 or fig. 2, and specifically includes the following steps:
please refer to fig. 3a, which is a schematic structural diagram of a terminal according to a first embodiment of the present invention. The terminal described in this embodiment includes: the obtaining unit 301, the matching unit 302 and the unlocking unit 303 are specifically as follows:
an acquisition unit 301 for acquiring a fingerprint image;
a matching unit 302, configured to match the fingerprint image acquired by the acquiring unit 301 with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, where the preset fingerprint template set further includes a second type of fingerprint template that includes N-M preset fingerprint templates, where the N preset fingerprint templates all belong to the same fingerprint, N is an integer greater than M, and M is a positive integer;
the matching unit 302 is further configured to:
when the matching result of the matching unit 302 is that the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
an unlocking unit 303, configured to implement fingerprint unlocking when the matching result of the matching unit 302 is that the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates.
Optionally, as shown in fig. 3b, the matching unit 302 of the terminal depicted in fig. 3a includes:
an extracting module 3021, configured to extract feature points of the fingerprint image;
a first obtaining module 3022, configured to obtain feature points of M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, to obtain M groups of feature points;
a matching module 3023, configured to match the feature points of the fingerprint image with the M groups of feature points according to the multiple-priority matching rule for the number of feature points.
Optionally, the obtaining unit 301 includes:
the acquisition module (not shown in the figure) is used for acquiring a plurality of capacitance values by utilizing the fingerprint identification module when a user presses the fingerprint identification module;
a dividing module (not shown) for dividing the region where the plurality of capacitance values are located into a plurality of sub-regions;
a selecting module (not shown) for selecting at least one capacitance value from each of the plurality of sub-regions;
a calculation module (not shown) for calculating a mean value of said selected capacitance values;
a processing module (not shown) for performing binarization processing on the plurality of capacitance values according to the mean value;
and the converting module (not shown in the figure) is used for converting the capacitance values after the binarization processing into a fingerprint image.
Optionally, the matching unit 302 is further configured to:
and acquiring the matching frequency of the N-M preset fingerprint templates, and matching the fingerprint image with the N-M preset fingerprint templates according to the sequence from high to low of the matching frequency.
Optionally, as shown in fig. 3c, the terminal depicted in fig. 3a may further include: the pre-matching unit 304, the determining unit 305, and the selecting unit 306 are as follows:
a pre-matching unit 304, configured to match every two of N preset fingerprint templates in a preset fingerprint template set before the acquiring unit 301 acquires a fingerprint image, so as to obtain K matching values, where K is a positive integer;
a determining unit 305, configured to determine, according to the K matching values, a correlation degree of each of the N preset fingerprint templates;
the selecting unit 306 is configured to select M preset fingerprint templates with the lowest association degree from the N preset fingerprint templates as a first type of fingerprint template.
Optionally, as shown in fig. 3d, the terminal depicted in fig. 3a may further include:
a prompting unit 307, configured to prompt the user to re-input a fingerprint image when the matching result of the matching unit 302 is that the fingerprint image does not match with the M preset fingerprint templates,
or,
the matching unit 302 is further specifically configured to:
and when the matching result of the matching unit 302 is that the fingerprint image is not matched with the M preset fingerprint templates, matching the fingerprint image with other preset fingerprint template sets.
Fig. 4 is a schematic structural diagram of a terminal according to a second embodiment of the present invention. The terminal described in this embodiment includes: at least one input device 1000; at least one output device 2000; at least one processor 3000, e.g., a CPU; and a memory 4000, the input device 1000, the output device 2000, the processor 3000, and the memory 4000 being connected by a bus 5000.
The input device 1000 may be a touch panel, a physical button or a mouse, a fingerprint recognition module, and the like.
The output device 2000 may be a display screen.
The memory 4000 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 4000 is used for storing a set of program codes, and the input device 1000, the output device 2000 and the processor 3000 are used for calling the program codes stored in the memory 4000 to execute the following operations:
the processor 3000 is configured to:
acquiring a fingerprint image;
matching the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer;
when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
and when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is realized.
Optionally, the processor 3000 matches the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, including:
extracting feature points of the fingerprint image;
acquiring the characteristic points of M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set to obtain M groups of characteristic points;
and matching the feature points of the fingerprint image with the M groups of feature points according to the multi-priority matching principle of the number of the feature points.
Optionally, the processor 3000 acquires a fingerprint image, including:
when a user presses the fingerprint identification module, the fingerprint identification module is utilized to collect a plurality of capacitance values;
dividing the area where the plurality of capacitance values are located into a plurality of sub-areas;
selecting at least one capacitance value from each of the plurality of sub-regions;
calculating the mean value of the selected capacitance values;
carrying out binarization processing on the plurality of capacitance values according to the average value;
and converting the plurality of capacitance values after binarization processing into a fingerprint image.
Optionally, the matching, by the processor 3000, the fingerprint image with the N-M preset fingerprint templates includes:
acquiring the matching frequency of the N-M preset fingerprint templates;
and matching the fingerprint image with the N-M preset fingerprint templates according to the sequence of the matching frequency from high to low.
Optionally, before the processor 3000 acquires the fingerprint image, the processor is further specifically configured to:
matching every two preset fingerprint templates in a preset fingerprint template set to obtain K matching values, wherein K is a positive integer;
determining the association degree of each preset fingerprint template in the N preset fingerprint templates according to the K matching values;
and selecting M preset fingerprint templates with the lowest correlation degree from the N preset fingerprint templates as the first type of fingerprint templates.
Optionally, after the processor 3000 matches the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, the processor is further specifically configured to:
and when the fingerprint image is not matched with the M preset fingerprint templates, prompting a user to input the fingerprint image again, or matching the fingerprint image with other preset fingerprint template sets.
Fig. 5 is a block diagram illustrating a partial structure of a mobile phone related to a terminal provided in an embodiment of the present invention. Referring to fig. 5, the handset includes: radio Frequency (RF) circuit 510, memory 520, input unit 530, display unit 540, sensor 550, audio circuit 560, wireless fidelity (WiFi) module 570, processor 580, and power supply 590. Those skilled in the art will appreciate that the handset configuration shown in fig. 5 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile phone in detail with reference to fig. 5:
RF circuit 510 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, for processing downlink information of a base station after receiving the downlink information to processor 580; in addition, the data for designing uplink is transmitted to the base station. In general, RF circuit 510 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, RF circuit 510 may also communicate with networks and other devices via wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to global system for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The memory 520 may be used to store software programs and modules, and the processor 580 executes various functional applications and data processing of the mobile phone by operating the software programs and modules stored in the memory 520. The memory 520 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The input unit 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 530 may include a touch panel 531 and other input devices 532. The touch panel 531, also called a touch screen, can collect touch operations of a user on or near the touch panel 531 (for example, operations of the user on or near the touch panel 531 by using any suitable object or accessory such as a finger or a stylus pen), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 531 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, and sends the touch point coordinates to the processor 580, and can receive and execute commands sent by the processor 580. In addition, the touch panel 531 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 530 may include other input devices 532 in addition to the touch panel 531. In particular, other input devices 532 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 540 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The display unit 540 may include a display panel 541, and optionally, the display panel 541 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 531 may cover the display panel 541, and when the touch panel 531 detects a touch operation on or near the touch panel 531, the touch panel is transmitted to the processor 580 to determine the type of the touch event, and then the processor 580 provides a corresponding visual output on the display panel 541 according to the type of the touch event. Although the touch panel 531 and the display panel 541 are shown as two separate components in fig. 5 to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 531 and the display panel 541 may be integrated to implement the input and output functions of the mobile phone.
The handset may also include at least one sensor 550, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 541 according to the brightness of ambient light, and the proximity sensor may turn off the display panel 541 and/or the backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
Audio circuitry 560, speaker 561, and microphone 562 may provide an audio interface between a user and a cell phone. The audio circuit 560 may transmit the electrical signal converted from the received audio data to the speaker 561, and convert the electrical signal into a sound signal by the speaker 561 for output; on the other hand, the microphone 562 converts the collected sound signals into electrical signals, which are received by the audio circuit 560 and converted into audio data, which are then processed by the audio data output processor 580, and then passed through the RF circuit 510 to be sent to, for example, another cellular phone, or output to the memory 520 for further processing.
WiFi belongs to short distance wireless transmission technology, and the mobile phone can help the user to send and receive e-mail, browse web pages, access streaming media, etc. through the WiFi module 570, which provides wireless broadband internet access for the user. Although fig. 5 shows the WiFi module 570, it is understood that it does not belong to the essential constitution of the handset, and can be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 580 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 520 and calling data stored in the memory 520, thereby performing overall monitoring of the mobile phone. Alternatively, processor 580 may include one or more processing units; preferably, the processor 580 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 580.
The handset also includes a power supply 590 (e.g., a battery) for powering the various components, which may preferably be logically coupled to the processor 580 via a power management system, such that the power management system may be used to manage charging, discharging, and power consumption.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.
In the foregoing embodiment, the method flows of the steps may be implemented based on the structure of the terminal. Wherein the sensor 550 or the touch panel 531 can be used as a fingerprint recognition module.
An embodiment of the present invention further provides a computer storage medium, where the computer storage medium may store a program, and when the program is executed, the program includes some or all of the steps of any one of the fingerprint unlocking methods described in the above method embodiments.
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program stored/distributed on a suitable medium supplied together with or as part of other hardware, may also take other distributed forms, such as via the Internet or other wired or wireless telecommunication systems.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (13)
1. A fingerprint unlocking method is characterized by comprising the following steps:
acquiring a fingerprint image;
matching the fingerprint image with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer;
when the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
and when the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates, fingerprint unlocking is realized.
2. The method according to claim 1, wherein matching the fingerprint image with M preset fingerprint templates of a first type of fingerprint template from a set of preset fingerprint templates comprises:
extracting feature points of the fingerprint image;
acquiring the characteristic points of M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set to obtain M groups of characteristic points;
and matching the feature points of the fingerprint image with the M groups of feature points according to the multi-priority matching principle of the number of the feature points.
3. The method according to any one of claims 1 or 2, wherein said acquiring a fingerprint image comprises:
when a user presses the fingerprint identification module, the fingerprint identification module is utilized to collect a plurality of capacitance values;
dividing the area where the plurality of capacitance values are located into a plurality of sub-areas;
selecting at least one capacitance value from each of the plurality of sub-regions;
calculating the mean value of the selected capacitance values;
carrying out binarization processing on the plurality of capacitance values according to the average value;
and converting the plurality of capacitance values after binarization processing into a fingerprint image.
4. The method according to any one of claims 1 or 2, wherein said matching the fingerprint image with the N-M preset fingerprint templates comprises:
acquiring the matching frequency of the N-M preset fingerprint templates;
and matching the fingerprint image with the N-M preset fingerprint templates according to the sequence of the matching frequency from high to low.
5. The method according to any one of claims 1 or 2, wherein prior to said acquiring the fingerprint image, the method further comprises:
matching every two preset fingerprint templates in a preset fingerprint template set to obtain K matching values, wherein K is a positive integer;
determining the association degree of each preset fingerprint template in the N preset fingerprint templates according to the K matching values;
and selecting M preset fingerprint templates with the lowest correlation degree from the N preset fingerprint templates as the first type of fingerprint templates.
6. The method according to any of claims 1 or 2, wherein after matching the fingerprint image with M preset fingerprint templates of the first type of fingerprint template of a set of preset fingerprint templates, the method further comprises:
and when the fingerprint image is not matched with the M preset fingerprint templates, prompting a user to input the fingerprint image again, or matching the fingerprint image with other preset fingerprint template sets.
7. A terminal, comprising:
an acquisition unit configured to acquire a fingerprint image;
the matching unit is used for matching the fingerprint image acquired by the acquisition unit with M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set, wherein the preset fingerprint template set also comprises a second type of fingerprint template which comprises N-M preset fingerprint templates, the N preset fingerprint templates all belong to the same fingerprint, N is an integer larger than M, and M is a positive integer;
the matching unit is further configured to:
when the matching result of the matching unit is that the fingerprint image is successfully matched with any one of the M preset fingerprint templates, matching the fingerprint image with the N-M preset fingerprint templates;
and the unlocking unit is used for realizing fingerprint unlocking when the matching result of the matching unit is that the fingerprint image is successfully matched with any one of the N-M preset fingerprint templates.
8. The terminal of claim 7, wherein the matching unit comprises:
the extraction module is used for extracting the characteristic points of the fingerprint image;
the first acquisition module is used for acquiring the characteristic points of M preset fingerprint templates of a first type of fingerprint template in a preset fingerprint template set to obtain M groups of characteristic points;
and the matching module is used for matching the feature points of the fingerprint image with the M groups of feature points according to the multi-priority matching principle of the number of the feature points.
9. The terminal according to any of claims 7 or 8, wherein the obtaining unit comprises:
the fingerprint identification module is used for acquiring a plurality of capacitance values;
the dividing module is used for dividing the area where the plurality of capacitance values are located into a plurality of sub-areas;
a selecting module for selecting at least one capacitance value from each of the plurality of sub-regions;
the calculation module is used for calculating the mean value of the selected capacitance values;
the processing module is used for carrying out binarization processing on the capacitance values according to the mean value;
and the converting module is used for converting the capacitance values after the binarization processing into fingerprint images.
10. The terminal according to any of claims 7 or 8, wherein the matching unit is further configured to:
and acquiring the matching frequency of the N-M preset fingerprint templates, and matching the fingerprint image with the N-M preset fingerprint templates according to the sequence from high to low of the matching frequency.
11. The terminal according to any of claims 7 or 8, wherein the terminal further comprises:
the pre-matching unit is used for matching every two preset fingerprint templates in the preset fingerprint template set before the fingerprint image is acquired by the acquiring unit to obtain K matching values, wherein K is a positive integer;
the determining unit is used for determining the association degree of each preset fingerprint template in the N preset fingerprint templates according to the K matching values;
and the selecting unit is used for selecting the M preset fingerprint templates with the lowest correlation degree from the N preset fingerprint templates as the first type of fingerprint templates.
12. The terminal according to any of claims 7 or 8, wherein the terminal further comprises:
a prompting unit for prompting the user to re-input the fingerprint image when the matching result of the matching unit is that the fingerprint image is not matched with the M preset fingerprint templates,
or,
the matching unit is further specifically configured to:
and when the matching result of the matching unit is that the fingerprint image is not matched with the M preset fingerprint templates, matching the fingerprint image with other preset fingerprint template sets.
13. A terminal, comprising:
a processor and a memory; wherein the processor performs the method of any one of claims 1-6 by calling code or instructions in the memory.
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| CN106682608A (en) * | 2016-12-23 | 2017-05-17 | 努比亚技术有限公司 | Fingerprint matching device and method |
| CN106845413B (en) * | 2017-01-23 | 2020-01-14 | Oppo广东移动通信有限公司 | Fingerprint identification method and mobile terminal |
| CN107077679A (en) * | 2017-02-16 | 2017-08-18 | 深圳市汇顶科技股份有限公司 | Method of calibration, device and transaction system based on fingerprint recognition |
| CN107644219B (en) * | 2017-10-10 | 2021-04-02 | Oppo广东移动通信有限公司 | Face registration method and related product |
| CN111611826B (en) * | 2019-02-25 | 2023-08-08 | 北京小米移动软件有限公司 | Fingerprint identification method and device |
| CN110008675B (en) * | 2019-03-28 | 2021-07-20 | 南京维沃软件技术有限公司 | Fingerprint identification method and mobile terminal |
| CN110084929A (en) * | 2019-04-19 | 2019-08-02 | 公牛集团股份有限公司 | Local fingerprint database configuration, unlocking method, device and the equipment of smart lock |
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| CN103714159A (en) * | 2013-12-27 | 2014-04-09 | 中国人民公安大学 | Coarse-to-fine fingerprint identification method fusing second-level and third-level features |
| CN105335731A (en) * | 2015-11-13 | 2016-02-17 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device as well as terminal equipment |
| CN105469033A (en) * | 2015-11-13 | 2016-04-06 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint identification device and terminal equipment |
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| KR100884743B1 (en) * | 2006-12-07 | 2009-02-19 | 한국전자통신연구원 | Method for matching fingerprint using minutiae and binary image and system using the same |
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| CN103440445A (en) * | 2013-08-14 | 2013-12-11 | 深圳市亚略特生物识别科技有限公司 | Electronic equipment unlocking control method and system |
| CN103714159A (en) * | 2013-12-27 | 2014-04-09 | 中国人民公安大学 | Coarse-to-fine fingerprint identification method fusing second-level and third-level features |
| CN105335731A (en) * | 2015-11-13 | 2016-02-17 | 广东欧珀移动通信有限公司 | Fingerprint identification method and device as well as terminal equipment |
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Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Patentee before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
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