CN106845413B - Fingerprint identification method and mobile terminal - Google Patents
Fingerprint identification method and mobile terminal Download PDFInfo
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- CN106845413B CN106845413B CN201710050323.5A CN201710050323A CN106845413B CN 106845413 B CN106845413 B CN 106845413B CN 201710050323 A CN201710050323 A CN 201710050323A CN 106845413 B CN106845413 B CN 106845413B
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- 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
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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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Abstract
The embodiment of the invention provides a fingerprint identification method and a mobile terminal, wherein the method comprises the steps of acquiring a fingerprint image when the mobile terminal is positioned at a fingerprint list interface, wherein the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer; matching the fingerprint image with the N fingerprint templates; when the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N. The embodiment of the invention can provide a way for a user to inquire the source of the fingerprint template.
Description
Technical Field
The invention relates to the field of electronic equipment, in particular to a fingerprint identification method and a mobile terminal.
Background
With the rapid development of information technology, mobile terminals (such as mobile phones, tablet computers, and the like) are increasingly used, and the requirements of users on the mobile terminals are also higher and higher, for example, the security of the mobile terminals, currently, fingerprint identification modules on the market have become standard configurations of the mobile terminals, and the fingerprint identification modules used for fingerprint unlocking also become basic functions of the mobile terminals, and the fingerprint identification can be used in the fields of screen unlocking, file/program encryption, mobile payment, and the like. The application is wider and wider, and the performance and experience of fingerprints are also required to be higher. Currently, there are more and more fingerprint templates stored in mobile terminals, but a user cannot conveniently query the source of the fingerprint template (i.e., does not know which finger of the user corresponds to the fingerprint template).
Disclosure of Invention
The embodiment of the invention provides a fingerprint identification method and a mobile terminal, aiming to provide a way for inquiring a fingerprint template source for a user.
The first aspect of the embodiments of the present invention provides a fingerprint identification method, including:
when a mobile terminal is located at a fingerprint list interface, acquiring a fingerprint image, wherein the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
matching the fingerprint image with the N fingerprint templates;
when the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N.
A second aspect of an embodiment of the present invention provides a mobile terminal, including:
the mobile terminal comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a fingerprint image when the mobile terminal is positioned at a fingerprint list interface, the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
the matching unit is used for matching the fingerprint image with the N fingerprint templates;
and the display unit is used for highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface when the matching result of the matching unit is that the fingerprint image is successfully matched with the M fingerprint templates in the N fingerprint templates, wherein M is a positive integer less than or equal to N.
A third aspect of the embodiments of the present invention provides a mobile terminal, including:
a processor and a memory; wherein the processor performs some or all of the steps of the method described in the first aspect by calling code or instructions in the memory.
The embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, when the mobile terminal is positioned at the interface of the fingerprint list, the fingerprint image is acquired, the interface of the fingerprint list contains the fingerprint information of N pre-stored fingerprint templates, N is a positive integer, the fingerprint image is matched with the N fingerprint templates, when the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, the fingerprint information of the M fingerprint templates is highlighted on the interface of the fingerprint list, and M is a positive integer less than or equal to N. Thus, the user can determine from which finger the M fingerprint templates are derived, and so on, and can determine the source of each of the N fingerprint templates.
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 description of the embodiments are briefly introduced 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 to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a fingerprint identification method according to a first embodiment of the present invention;
FIG. 1-1 is a schematic diagram of a fingerprint list interface provided by an embodiment of the invention;
FIG. 2 is a flowchart illustrating a fingerprint recognition method according to a second embodiment of the present invention;
fig. 3a is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention;
fig. 3b is a schematic structural diagram of a matching unit of the mobile terminal depicted in fig. 3a according to an embodiment of the present invention;
fig. 3c is a schematic diagram of another structure of the mobile terminal depicted in fig. 3a according to an embodiment of the present invention;
fig. 3d is a schematic structural diagram of a display unit of the mobile terminal depicted in fig. 3a according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a mobile phone according to an 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 mobile 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, which are merely examples, but not exhaustive, and include but are not limited to the mobile terminal.
Under the general condition, all be provided with the fingerprint identification module among the mobile terminal, at the in-process of user's touch fingerprint identification module, can acquire the fingerprint image, can match fingerprint image and the fingerprint template of prestore (judge promptly whether the matching value between fingerprint image and the fingerprint template is greater than first preset threshold value), when this fingerprint image matches successfully with the fingerprint template of prestore, can be used to the unblock (can be bright screen unblock, dark screen unblock, application unblock, file unblock, payment unblock etc.). The first preset threshold may be set by default by the system or by the user. The first preset threshold may be used to set the unlocking application scenario, and the first target fingerprint identification threshold and the second target fingerprint identification threshold involved in the embodiment of the present invention are both smaller than or equal to the first preset threshold, and of course, in the process of implementing the embodiment of the invention, any unlocking is not needed, so a second preset threshold value can be preset, this second preset threshold is mainly used for fingerprint recognition (i.e., determining whether a fingerprint input by the user exists in the fingerprint list interface) in the embodiment of the present invention, since it is considered that unlocking is not considered, but only for fingerprint recognition, it is considered that the user's finger may be a dry finger or a wet finger, thus, the second preset threshold may be less than the first preset threshold, and it may be understood that the first target fingerprinting threshold and the second target fingerprinting threshold are less than or equal to the second preset threshold.
Fig. 1 is a flowchart illustrating a fingerprint identification method according to a first embodiment of the present invention. The fingerprint identification method described in this embodiment includes the following steps:
101. when the mobile terminal is located at a fingerprint list interface, acquiring a fingerprint image, wherein the fingerprint list interface contains fingerprint information of N pre-stored fingerprint templates, and N is a positive integer.
The fingerprint identification module of the mobile terminal in the embodiment of the invention is a pressing type fingerprint identification module or a touch type fingerprint identification module. The mobile terminal can be under this mobile terminal is in fingerprint list interface, acquires the fingerprint image, and this fingerprint image can be gathered by the fingerprint identification module. The fingerprint list interface may include fingerprint information of at least 1 fingerprint template, and certainly, if N fingerprint templates are pre-stored in the mobile terminal, the fingerprint information of the N fingerprint templates may be displayed on the fingerprint list interface.
Optionally, the fingerprint information in the embodiment of the present invention may include, but is not limited to: fingerprint name, the number of times the fingerprint is successfully matched, the time of fingerprint entry, and the current matching value. The fingerprint name may be set by default by a system or by a user, for example, a middle finger of a left hand or a thumb of a right hand of zhang san, the number of times that the fingerprints are successfully matched may be the total number of times that the fingerprints are successfully matched in a history matching process, the time for inputting the fingerprints may be the specific time for generating the fingerprints, and the current matching value may be the matching value obtained in the current fingerprint identification process, that is, after the fingerprint image is acquired in a fingerprint list interface, if a certain fingerprint template in the fingerprint list is successfully matched, the corresponding matching value may be displayed in the area displayed by the fingerprint template. As shown in fig. 1-1, fig. 1-1 provides a schematic diagram of a fingerprint list interface, where fingerprint 1 is the name of a fingerprint.
Optionally, in step 101, before the acquiring the fingerprint image, the method further includes the following steps:
110) acquiring touch parameters of the touch fingerprint identification module;
120) and judging whether the touch parameters accord with preset conditions or not, and executing the fingerprint image acquisition when the touch parameters accord with the preset conditions.
Wherein, after fingerprint identification module was touched, then can acquire the touch parameter of touching this fingerprint identification module, this touch parameter can include but not limited to: touch fingerprint identification module's touch area, touch dynamics, touch time, the touch number of times that touches fingerprint identification module and touch time, touch fingerprint identification module of touch fingerprint identification module etc. certainly, touch parameter can also be the combination form of above-mentioned two kinds of touch parameters, for example, touch area and the touch dynamics combination of touch fingerprint identification module are touch parameter.
Optionally, the preset condition may be: whether the touch strength of touch fingerprint identification module is greater than first preset threshold value, wherein, first preset threshold value can be set up by oneself by the user, perhaps, the system is acquiescent, for example, first preset threshold value can be 5 cattle, 10 cattle, 10.8 cattle etc.. If the first preset threshold is 10 newtons and the acquired touch parameter of the touch fingerprint identification module is 11 newtons, the touch parameter meets the preset condition; the first preset threshold is 12 newtons, and the touch parameter for acquiring the touch fingerprint identification module is 11 newtons, then the touch parameter does not meet the preset condition.
Optionally, the preset condition may be: whether the touch time of touching fingerprint identification module is greater than and is in the preset time range, wherein, the preset time range can be set up by the user by oneself, perhaps, the system is acquiescent, for example, 5 ~ 10 seconds, are greater than 1 second, 0.5 ~ 1 second etc.. If the preset time range is 2-3 seconds and the acquired touch parameter of the touch fingerprint identification module is 2.1 seconds, the touch parameter meets the preset condition; the preset time range is 1-2 seconds, the touch parameter of the touch fingerprint identification module is 2.1 seconds, and the touch parameter does not accord with the preset condition.
Optionally, the preset condition may be: whether the touch area of the touch fingerprint identification module is larger than a second preset threshold value, wherein the second preset threshold value can be set by the user, or a default of the system is, for example, 0.5 square centimeter, 0.88 square centimeter, 0.34 square centimeter and the like. If the second preset threshold is 0.5 square centimeter and the acquired touch parameter of the touch fingerprint identification module is 0.6 square centimeter, the touch parameter meets the preset condition; the second preset threshold is 0.5 square centimeter, and the touch parameter of the touch fingerprint identification module is 0.59 square centimeter, so that the touch parameter does not meet the preset condition.
Optionally, the preset condition may be: whether the number of touches of the fingerprint identification module is greater than a third preset threshold, wherein the third preset threshold can be set by the user, or a default of the system is, for example, 1, 2, 3, etc. If the third preset threshold is 1 and the acquired touch parameter of the touch fingerprint identification module is 2, the touch parameter meets the preset condition; the third preset threshold is 1, and the touch parameter of the touch fingerprint identification module is 1, so that the touch parameter does not meet the preset condition.
Of course, the preset conditions may also be two or more of the above preset conditions, for example, the preset conditions are: whether the touch time of touch fingerprint identification module is greater than and is in the time range of predetermineeing and whether the area of touch fingerprint identification module is greater than the second and predetermines the threshold value.
102. And matching the fingerprint image with the N fingerprint templates.
Wherein at least one fingerprint template may be pre-stored in the mobile terminal before step 101, then the fingerprint image may be matched with the pre-stored fingerprint template in step 102. For example, feature extraction is performed on a fingerprint image to obtain P feature points, where P is an integer greater than 1; performing feature extraction on the fingerprint template to obtain Q feature points, wherein Q is an integer greater than 1; and matching the P characteristic points with the Q characteristic points.
Optionally, in the step 102, matching the fingerprint image with the N fingerprint templates may be performed as follows:
and matching the fingerprint image with the N fingerprint templates by adopting N threads or processes, wherein each thread or process corresponds to the N fingerprint templates one by one.
Alternatively, if the fingerprint image in step 101 is in a designated state, the designated state may be a wet finger state or a dry finger state. Specifically, whether the fingerprint image is an image of a wet finger or a dry finger can be judged, if the fingerprint image is from the fingerprint image of the wet finger or the dry finger, the terminal can perform image enhancement processing on the fingerprint image, and judge whether the similarity between the fingerprint image after the image enhancement processing and the preset fingerprint template is greater than the second preset threshold. If the fingerprint image is not from a wet finger or a dry finger, step 103 may be performed directly. The method for image enhancement processing can comprise the following steps: and performing histogram equalization, gray level stretching, image restoration, wavelet transformation and the like on the fingerprint image.
Optionally, in a specific implementation, because the fingerprint pattern in the fingerprint image of the dry finger is intermittent, and the fingerprint pattern in the fingerprint image of the wet finger is blurred due to a large area, and the fingerprint pattern is almost unclear, it is possible to determine whether the fingerprint image is from the dry finger or the wet finger by analyzing the fingerprint image. For example, the fingerprint image may be extracted to determine whether the fingerprint image is from a dry finger or a wet finger. If the lines of the fingerprint image are intermittent, the fingerprint image belongs to a dry finger, and if the fingerprint lines with larger areas appear in the fingerprint image, the fingerprint image belongs to a wet finger.
Optionally, in the step 102, matching the fingerprint image with N pre-stored fingerprint templates may include the following steps:
21) determining the fingerprint area of the fingerprint image;
22) determining a first target fingerprint identification threshold corresponding to the fingerprint area;
23) and judging whether the matching degree between the fingerprint image and a fingerprint template i is greater than the first target fingerprint identification threshold, and confirming that the fingerprint image is successfully matched with the fingerprint template i when the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold, wherein the fingerprint template i is any one of the N prestored fingerprint templates.
Wherein, at the in-process of user touch fingerprint identification module, because touch degree (touch dynamics, touch angle) are different, therefore, the fingerprint area of the fingerprint image who obtains is different, therefore, can confirm the ratio (if there are N fingerprint template, then the average area of the fingerprint area of above-mentioned fingerprint template for N fingerprint template) between the fingerprint area of this fingerprint area and fingerprint template, so, can confirm first target matching threshold according to this ratio. For example, the second target fingerprint identification threshold may be obtained using the following formula:
b＝a*(B/A)；
and B is a second target fingerprint identification threshold, wherein B is greater than or equal to A, and B is equal to a.
103. When the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N.
Optionally, when the fingerprint image is successfully matched with M fingerprint templates of the N fingerprint templates, the fingerprint information of the M fingerprint templates may be simultaneously highlighted on the fingerprint list interface, for example, the fingerprint information corresponding to the M fingerprint templates is bold in text, and for example, the list where the fingerprint information of the M fingerprint templates is displayed displays preset colors, such as red, blue, and the like.
Optionally, in the step 103, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface may include the following steps:
31) acquiring matching values between the fingerprint image and the M fingerprint templates to obtain the M matching values;
32) and sequentially highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface according to the M matching values.
The matching value is of a certain size, so that a priority can be set for the M fingerprint templates according to the size of the M matching values, for example, the larger the matching value is, the higher the priority is, or the smaller the matching value is, the higher the priority is, thereby obtaining the priority order of the M fingerprint templates, and the fingerprint information of the M fingerprint templates can be sequentially highlighted on a fingerprint list interface according to the priority order. For example, the priority order is: fingerprint 1, fingerprint 3 and fingerprint 6, then fingerprint 1 may be highlighted first, and after the highlighting, the state of current fingerprint 1 is maintained, then fingerprint 3 is highlighted, the state of current fingerprint 3 is maintained, and finally fingerprint 6 is highlighted, and the state of current fingerprint 6 is maintained, so that the user can know that fingerprint 1, fingerprint 3 and fingerprint 6 are from fingerprints of the same finger, and thus, can further add the fingerprint 1, fingerprint 3 and fingerprint 6 to the same fingerprint group, and the name of the fingerprint group can be the position of the finger (for example, the middle finger of the right hand), and thus, can conveniently edit (for example, modify the fingerprint name of the fingerprint template) and manage (for example, add the fingerprint template belonging to the same finger to one fingerprint group).
Alternatively, the salient features referred to in the embodiments of the present invention may include, but are not limited to: highlighting color, highlighting font size, highlighting blinking number (frequency), and the like.
Optionally, in the step 103, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface may include the following steps:
and displaying the fingerprint information of the M fingerprint templates in a fingerprint list interface, and hiding the fingerprint information of other fingerprint templates except the M fingerprint templates in the N fingerprint templates.
Optionally, after step 102, the following may be included:
when the fingerprint image is not matched with any fingerprint template in the N fingerprint templates, whether the fingerprint image is from the fingerprint of the finger or not can be judged, machine learning can be carried out on the fingerprint image by adopting a classifier (such as a neural network classifier, a Support Vector Machine (SVM) classifier and the like), and therefore whether the fingerprint image is from the fingerprint of the finger or not can be determined, when the fingerprint image is from the fingerprint of the finger, a user is prompted that the finger does not input the fingerprint, and when the fingerprint image is not from the fingerprint of the finger, the user is prompted that the finger cannot input the fingerprint.
It can be seen that, according to the embodiment of the present invention, when the mobile terminal is located in the fingerprint list interface, the fingerprint image is acquired, the fingerprint list interface includes the pre-stored fingerprint information of N fingerprint templates, where N is a positive integer, the fingerprint image is matched with the N fingerprint templates, when the fingerprint image is successfully matched with M fingerprint templates of the N fingerprint templates, the fingerprint information of the M fingerprint templates is highlighted in the fingerprint list interface, and M is a positive integer less than or equal to N. Thus, the user can determine from which finger the M fingerprint templates are derived, and so on, and can determine the source of each of the N fingerprint templates. Further, the fingerprint template can be easily edited or managed.
In accordance with the above, please refer to fig. 2, which is a flowchart illustrating a fingerprint identification method according to a second embodiment of the present invention. The fingerprint identification method described in this embodiment includes the following steps:
201. when the mobile terminal is located at a fingerprint list interface, acquiring a fingerprint image, wherein the fingerprint list interface contains fingerprint information of N pre-stored fingerprint templates, and N is a positive integer.
202. And judging whether the fingerprint image is in a designated state.
Optionally, the fingerprint image of the finger in the specified state is a fingerprint image of a dry finger or a fingerprint image of a wet finger. In the concrete implementation, because the fingerprint lines in the fingerprint image of the dry finger are intermittent, and the fingerprint lines of the fingerprint image of the wet finger with a large area are blurred and almost not distinguished, the fingerprint image can be analyzed to judge whether the fingerprint image comes from the dry finger or the wet finger. For example, the fingerprint image may be extracted to determine whether the fingerprint image is from a dry finger or a wet finger. If the lines of the fingerprint image are intermittent, the fingerprint image belongs to a dry finger, and if the fingerprint lines with larger areas appear in the fingerprint image, the fingerprint image belongs to a wet finger.
203. And when the fingerprint image is the fingerprint image in the specified state, determining a second target fingerprint identification threshold corresponding to the fingerprint image in the specified state.
In the embodiment of the present invention, if the fingerprint image is in the above-mentioned designated state, the fingerprint identification threshold may be reduced, for example, before step 201, the fingerprint identification threshold in the designated state, that is, the fingerprint identification threshold corresponding to the dry finger state and/or the fingerprint identification threshold corresponding to the wet finger state, may be preset. Thus, in step 203, when the fingerprint image is in a designated state, the second target fingerprint identification threshold corresponding to the fingerprint image in the designated state may be determined.
204. And judging whether the matching degree between the fingerprint image and a fingerprint template j is greater than the second target fingerprint identification threshold, wherein the fingerprint template j is any one of the N fingerprint templates, and N is a positive integer.
205. When the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N.
According to the embodiment of the invention, when the mobile terminal is positioned at the interface of the fingerprint list, the fingerprint image is acquired, the interface of the fingerprint list comprises the fingerprint information of N pre-stored fingerprint templates, N is a positive integer, and when the fingerprint image is the fingerprint image in the designated state, the corresponding second target identification threshold value can be acquired. Thus, the user can determine from which finger the M fingerprint templates are derived, and so on, and can determine the source of each of the N fingerprint templates. Further, the fingerprint template can be easily edited or managed.
In accordance with the above, the following is a device for implementing the fingerprint identification method, specifically as follows:
please refer to fig. 3a, which is a schematic structural diagram of a mobile terminal according to a first embodiment of the present invention. The mobile terminal described in this embodiment includes: the acquiring unit 301, the matching unit 302 and the displaying unit 303 are specifically as follows:
an obtaining unit 301, configured to obtain a fingerprint image when a mobile terminal is located in a fingerprint list interface, where the fingerprint list interface includes fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
a matching unit 302, configured to match the fingerprint image with the N fingerprint templates;
a display unit 303, configured to highlight, on the fingerprint list interface, fingerprint information of M fingerprint templates when a matching result of the matching unit 302 is that the fingerprint image is successfully matched with M fingerprint templates of the N fingerprint templates, where M is a positive integer smaller than or equal to N.
Optionally, as shown in fig. 3b, fig. 3b is a detailed structure of the matching unit 302 of the mobile terminal depicted in fig. 3a, and the matching unit 302 may include: the determining module 3021 and the determining module 3022 are specifically as follows:
a determining module 3021, configured to determine a fingerprint area of the fingerprint image;
the determining module 3021 is further specifically configured to:
determining a first target fingerprint identification threshold corresponding to the fingerprint area;
a judging module 3022, configured to judge whether a matching degree between the fingerprint image and a fingerprint template i is greater than the first target fingerprint identification threshold, and when a judgment result of the judging module 3022 is that the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold, confirm that the fingerprint image and the fingerprint template i are successfully matched, where the fingerprint template i is any one of the N fingerprint templates.
Optionally, as shown in fig. 3c, fig. 3c is a modified structure of the mobile terminal depicted in fig. 3a, which further includes, compared with the mobile terminal depicted in fig. 3 a: the judging unit 304 and the determining unit 305 are specifically as follows:
a determination unit 304, configured to determine whether the fingerprint image is a fingerprint image in a specified state after the acquisition unit 301 acquires the fingerprint image;
a determining unit 305, configured to determine a second target fingerprint identification threshold corresponding to the fingerprint image in the specified state when the determination result of the determining unit 304 is that the fingerprint image is the fingerprint image in the specified state;
the matching unit 302 is specifically configured to:
and judging whether the matching degree between the fingerprint image and a fingerprint template j is greater than the second target fingerprint identification threshold, and confirming that the fingerprint image and the fingerprint template j are successfully matched when the matching degree between the fingerprint image and the fingerprint template j is greater than the second target fingerprint identification threshold, wherein the fingerprint template j is any one of the N fingerprint templates.
Alternatively, as shown in fig. 3d, fig. 3d is a detailed structure of the display unit 303 of the mobile terminal depicted in fig. 3a, and the highlighting unit 303 may include: the obtaining module 3031 and the highlighting module 3032 are as follows:
an obtaining module 3031, configured to obtain matching values between the fingerprint image and the M fingerprint templates, to obtain the M matching values;
and the highlighting module 3032 is configured to sequentially highlight the fingerprint information of the M fingerprint templates on the fingerprint list interface according to the M matching values.
Optionally, the fingerprint information is at least one of:
fingerprint name, the number of times the fingerprint is successfully matched, the time of fingerprint entry, and the current matching value.
It can be seen that, with the mobile terminal described in the embodiment of the present invention, when the mobile terminal is located in a fingerprint list interface, a fingerprint image may be obtained, where the fingerprint list interface includes fingerprint information of N pre-stored fingerprint templates, where N is a positive integer, the fingerprint image is matched with the N fingerprint templates, and when the fingerprint image is successfully matched with M fingerprint templates of the N fingerprint templates, the fingerprint information of the M fingerprint templates is highlighted in the fingerprint list interface, where M is a positive integer less than or equal to N. Thus, the user can determine from which finger the M fingerprint templates are derived, and so on, and can determine the source of each of the N fingerprint templates. Further, the fingerprint template can be easily edited or managed.
In accordance with the above, please refer to fig. 4, which is a schematic structural diagram of a mobile terminal according to a second embodiment of the present invention. The mobile 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 (e.g., integrated with a fingerprint recognition module function), a physical button (e.g., Home button (integrated with a fingerprint recognition module function)), or a mouse.
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:
when a mobile terminal is located at a fingerprint list interface, acquiring a fingerprint image, wherein the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
matching the fingerprint image with the N fingerprint templates;
when the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N.
Optionally, the matching, by the processor 3000, the fingerprint image with the N fingerprint templates includes:
determining a fingerprint area of the fingerprint image;
determining a first target fingerprint identification threshold corresponding to the fingerprint area;
and judging whether the matching degree between the fingerprint image and a fingerprint template i is greater than the first target fingerprint identification threshold value or not, and confirming that the fingerprint image is successfully matched with the fingerprint template i when the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold value, wherein the fingerprint template i is any one of the N fingerprint templates.
Optionally, after the acquiring the fingerprint image, the processor 3000 is further specifically configured to:
judging whether the fingerprint image is in a designated state;
when the fingerprint image is in the designated state, determining a second target fingerprint identification threshold corresponding to the fingerprint image in the designated state;
the processor 3000 matches the fingerprint image with the N fingerprint templates, and includes:
and judging whether the matching degree between the fingerprint image and a fingerprint template j is greater than the second target fingerprint identification threshold, and confirming that the fingerprint image and the fingerprint template j are successfully matched when the matching degree between the fingerprint image and the fingerprint template j is greater than the second target fingerprint identification threshold, wherein the fingerprint template j is any one of the N fingerprint templates.
Optionally, the processor 3000 highlights the fingerprint information of the M fingerprint templates on the fingerprint list interface, including:
acquiring matching values between the fingerprint image and the M fingerprint templates to obtain the M matching values;
and sequentially highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface according to the M matching values.
Optionally, the fingerprint information is at least one of:
fingerprint name, the number of times the fingerprint is successfully matched, the time of fingerprint entry, and the current matching value.
Fig. 5 is a block diagram illustrating a partial structure of a mobile phone related to a mobile terminal according to 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 (Wi-Fi) 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:
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.
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. The sensor 550 may include a proximity sensor and a humidity sensor, and the touch panel 531 may 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 the program includes, when executed, some or all of the steps of any one of the fingerprint identification 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 (10)
1. A fingerprint identification method, comprising:
when a mobile terminal is located at a fingerprint list interface, acquiring a fingerprint image, wherein the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
matching the fingerprint image with the N fingerprint templates;
when the fingerprint image is successfully matched with M fingerprint templates in the N fingerprint templates, highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface, wherein M is a positive integer less than or equal to N;
wherein, the highlighting of the fingerprint information of the M fingerprint templates on the fingerprint list interface includes:
acquiring matching values between the fingerprint image and the M fingerprint templates to obtain the M matching values; and sequentially highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface according to the M matching values.
2. The method of claim 1, wherein matching the fingerprint image with the N fingerprint templates comprises:
determining a fingerprint area of the fingerprint image;
determining a first target fingerprint identification threshold corresponding to the fingerprint area;
and judging whether the matching degree between the fingerprint image and a fingerprint template i is greater than the first target fingerprint identification threshold value or not, and confirming that the fingerprint image is successfully matched with the fingerprint template i when the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold value, wherein the fingerprint template i is any one of the N fingerprint templates.
3. The method of claim 1, wherein after the acquiring the fingerprint image, the method further comprises:
judging whether the fingerprint image is in a designated state;
when the fingerprint image is in the designated state, determining a second target fingerprint identification threshold corresponding to the fingerprint image in the designated state;
the matching the fingerprint image with the N fingerprint templates includes:
and judging whether the matching degree between the fingerprint image and a fingerprint template j is greater than the second target fingerprint identification threshold, and confirming that the fingerprint image and the fingerprint template j are successfully matched when the matching degree between the fingerprint image and the fingerprint template j is greater than the second target fingerprint identification threshold, wherein the fingerprint template j is any one of the N fingerprint templates.
4. The method according to any one of claims 1 to 3, wherein the fingerprint information is at least one of:
fingerprint name, the number of times the fingerprint is successfully matched, the time of fingerprint entry, and the current matching value.
5. A mobile terminal, comprising:
the mobile terminal comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a fingerprint image when the mobile terminal is positioned at a fingerprint list interface, the fingerprint list interface comprises fingerprint information of N pre-stored fingerprint templates, and N is a positive integer;
the matching unit is used for matching the fingerprint image with the N fingerprint templates;
the display unit is used for highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface when the matching result of the matching unit is that the fingerprint image is successfully matched with the M fingerprint templates in the N fingerprint templates, wherein M is a positive integer less than or equal to N;
wherein the display unit includes:
the acquisition module is used for acquiring matching values between the fingerprint image and the M fingerprint templates to obtain the M matching values;
and the highlighting module is used for sequentially highlighting the fingerprint information of the M fingerprint templates on the fingerprint list interface according to the M matching values.
6. The mobile terminal according to claim 5, wherein the matching unit comprises:
a determining module for determining a fingerprint area of the fingerprint image;
the determining module is further specifically configured to:
determining a first target fingerprint identification threshold corresponding to the fingerprint area;
and the judging module is used for judging whether the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold value or not, and confirming that the fingerprint image and the fingerprint template i are successfully matched if the judging result of the judging module is that the matching degree between the fingerprint image and the fingerprint template i is greater than the first target fingerprint identification threshold value, wherein the fingerprint template i is any one of the N fingerprint templates.
7. The mobile terminal of claim 5, wherein the mobile terminal further comprises:
the judging unit is used for judging whether the fingerprint image is in a specified state after the fingerprint image is acquired by the acquiring unit;
the determining unit is used for determining a second target fingerprint identification threshold corresponding to the fingerprint image in the specified state when the judgment result of the judging unit is that the fingerprint image is the fingerprint image in the specified state;
the matching unit is specifically configured to:
and judging whether the matching degree between the fingerprint image and a fingerprint template j is greater than the second target fingerprint identification threshold, and confirming that the fingerprint image and the fingerprint template j are successfully matched when the matching degree between the fingerprint image and the fingerprint template j is greater than the second target fingerprint identification threshold, wherein the fingerprint template j is any one of the N fingerprint templates.
8. The mobile terminal according to any of claims 5 to 7, wherein the fingerprint information is at least one of:
fingerprint name, the number of times the fingerprint is successfully matched, the time of fingerprint entry, and the current matching value.
9. A mobile terminal, comprising:
a processor and a memory; wherein the processor performs the method of any one of claims 1 to 4 by calling code or instructions in the memory.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by hardware, is capable of implementing the method according to any one of claims 1 to 4.
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| CN105389566A (en) * | 2015-11-13 | 2016-03-09 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint template updating method, fingerprint template updating device and mobile terminal |
| CN106022075A (en) * | 2016-06-17 | 2016-10-12 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN106203034A (en) * | 2016-06-27 | 2016-12-07 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method and terminal |
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| CN105389566A (en) * | 2015-11-13 | 2016-03-09 | 广东欧珀移动通信有限公司 | Fingerprint identification method, fingerprint template updating method, fingerprint template updating device and mobile terminal |
| CN106022075A (en) * | 2016-06-17 | 2016-10-12 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
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