WO2015184860A1

WO2015184860A1 - Method and device for realizing unlocking

Info

Publication number: WO2015184860A1
Application number: PCT/CN2015/072795
Authority: WO
Inventors: 王延平
Original assignee: 中兴通讯股份有限公司
Priority date: 2014-10-21
Filing date: 2015-02-11
Publication date: 2015-12-10
Also published as: CN105589632B; CN105589632A

Abstract

A method and device for realizing unlocking. The method comprises: acquiring a pattern formed by sliding on a screen by a user (100); and calculating the similarity between the obtained pattern and a pre-set pattern, and when it is judged that the similarity obtained by calculation is greater than or equal to a pre-set threshold value, unlocking the screen (101). In this method, a screen is unlocked by comparing the similarity between a pattern formed by sliding on the screen by a user and a pre-set pattern, and since the pattern formed by sliding on the screen by the user has infinite probabilities, the probabilities of cracking an unlocking password are greatly reduced, thereby increasing the security of a mobile terminal.

Description

Method and device for unlocking

Technical field

The embodiments of the present invention relate to a mobile terminal application technology, and in particular, to a method and an apparatus for implementing unlocking.

Background technique

There are three main methods for implementing screen unlocking of a mobile terminal:

The first method is to slide and unlock, and the slider on the unlocking interface is slid in the specified direction to the unlocked position to complete the unlocking. This method has no security.

The second method is to unlock the digital password, that is, a few numbers (generally 6 digits) are preset as the lock screen password, and the user inputs a preset lock screen password on the unlock interface to unlock the screen.

The third method is to unlock the graphic point set, that is, select a plurality of points in the dot matrix (generally 3 by 3 square dot matrix) on the screen, and then connect the dots into a broken line in a certain order, and the user sequentially steps in the unlocking interface. Several points are selected to unlock the screen.

Among them, the second method and the third method have a password, but the password combination is limited. For example, in the second method, if the lock screen password is 6 digits, the password combination has a combination of up to 1000000, which is limited. The lock screen password can be cracked by an attempt, so the existing mobile terminal screen unlocking method is less secure.

Summary of the invention

In order to solve the above problem, the embodiment of the present invention provides a method and apparatus for implementing unlocking, which can improve the security of the mobile terminal.

In order to achieve the above object, an embodiment of the present invention provides a method for implementing unlocking, including:

Obtaining a graphic formed by the user sliding on the screen;

Calculating the similarity between the obtained graphic and the preset graphic, and unlocking the screen when it is determined that the calculated similarity is greater than or equal to the preset threshold.

Optionally, the method further includes: acquiring a preset graphic formed by the user sliding on the screen and saving.

Optionally, the similarity between the calculated graphics and the preset graphics includes:

The first feature data of the obtained graphic and the second feature data of the preset graphic are respectively extracted, and the similarity between the first feature data and the second feature data is calculated.

Optionally, the method further includes: acquiring a preset graphic formed by the user sliding on the screen, extracting second feature data of the preset graphic, and saving.

The first feature data of the obtained graphic is extracted, and the similarity between the first feature data and the second feature data of the preset graphic is calculated.

Optionally, the extracting the second feature data of the preset graphic includes:

M pieces of second feature data of the preset figure are respectively extracted by using different M feature data extraction methods, wherein M is an integer greater than or equal to 1.

Optionally, the calculating the similarity between the obtained graphic and the preset graphic, when determining that the calculated similarity is greater than or equal to the preset threshold, the unlocking screen includes:

Extracting M second feature data of the preset graphics by using different M feature data extraction methods, and extracting the i-th first feature data of the obtained graphics by using the i-th feature data extraction method, respectively adopting different N Calculating method (M×N) first similarities between the i-th first feature data and the M second feature data, when one of the (M×N) first similarities is determined Or unlocking the screen when one or more first similarities are greater than or equal to the preset threshold;

Wherein M is an integer greater than or equal to 1, i is one of integers from 1 to M, and N is an integer greater than or equal to 1.

Optionally, when it is determined that the calculated first similarity is less than a preset threshold, the screen remains locked, and specifically includes:

The (i+1)th first feature data of the obtained figure is extracted by the (i+1) feature data extraction method, and the (i+1)th first feature data and the M first numbers are calculated by using N calculation methods. (M×N) second similarities between the two feature data;

When it is judged that the calculated (M×N) second similarities are both smaller than the preset threshold and i is equal to M, the screen remains in the locked state.

The i-th first feature data of the obtained figure is extracted by the i-th feature data extraction method, and the difference between the i-th first feature data and the M second feature data is calculated by using different N calculation methods respectively (M× N) first similarities, when it is determined that one or more first similarities of (M×N) first similarities are greater than or equal to a preset threshold, the screen is unlocked;

When it is determined that the calculated (M×N) first similarities are less than a preset threshold, the (i+1)th of the obtained graphics is extracted by the (i+1)th feature data extraction method. a first feature data, using (N) calculation methods to calculate (M×N) second similarities between the (i+1)th first feature data and the M second feature data;

When it is judged that the calculated (M×N) second similarities are both smaller than the preset threshold, and i is equal to M, the screen remains in the locked state.

An embodiment of the present invention further provides an apparatus for implementing unlocking, at least:

Obtaining a module, configured to obtain a graphic formed by a user sliding on the screen;

a calculation module configured to calculate a similarity between the obtained graphic and the preset graphic;

The judging module is configured to determine that the calculated similarity is greater than or equal to a preset threshold, and unlock the screen.

Optionally, the determining module is further configured to: determine that the calculated similarity is less than a preset threshold, and the screen remains locked.

Optionally, the obtaining module is further configured to:

Obtaining a preset graphic formed by the user sliding on the screen and saving; correspondingly,

The calculating module is specifically configured to: respectively extract the first feature data of the obtained graphic and the second feature data of the preset graphic, and calculate a similarity between the first feature data and the second feature data.

Optionally, the acquiring module is further configured to: acquire a preset graphic formed by the user sliding on the screen, extract second feature data of the preset graphic, and save the data;

The calculating module is specifically configured to: extract first feature data of the obtained graphic, and calculate a similarity between the first feature data and the second feature data of the preset graphic.

Optionally, the calculating module is specifically configured to: extract, by using different M feature data extraction methods, M second feature data of the preset graphics, and extract the obtained graphics by using the i-th feature data extraction method. i first characteristic data, respectively calculating (M×N) first similarities between the i-th first feature data and the M second feature data by using different N calculation methods;

The determining module is specifically configured to:

Determining that one or more first similarities of the (M×N) first similarities are greater than or equal to the preset threshold, unlocking a screen; wherein, M is an integer greater than or equal to 1, i An integer of 1 to M, N is an integer greater than or equal to 1.

Optionally, the determining module is further configured to:

Determining that the calculated (M×N) first similarities are all smaller than the preset threshold;

The calculation module is further configured to: extract (i+1) first feature data of the obtained graphic by using the (i+1) feature data extraction method, and calculate the (i+1) by using the N calculation methods; (M×N) second similarities between the first feature data and the M second feature data; correspondingly,

The determining module is further configured to: determine that the calculated (M×N) second similarities are less than a preset threshold, and i is equal to M, and the screen remains locked.

Compared with the prior art, the embodiment of the present invention includes: acquiring a graphic formed by a user sliding on a screen; calculating a similarity between the obtained graphic and the preset graphic, and determining that the calculated similarity is greater than or equal to a preset When the threshold is exceeded, the screen is unlocked. In the embodiment of the present invention, the technical solution for unlocking the screen is performed by comparing the similarity between the graphic formed by the user sliding on the screen and the preset image. Since the graphic formed by the user sliding on the screen has an infinite number of possibilities, the unlocking is greatly reduced. The possibility that the password is cracked, thereby improving the security of the mobile terminal.

BRIEF abstract

The drawings described herein are intended to provide a further understanding of the invention, and are intended to be a part of the invention. In the drawing:

1 is a flowchart of a method for implementing a lock screen according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of an apparatus for implementing a lock screen according to an embodiment of the present invention.

Preferred embodiment of the invention

The embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the features in the embodiments and the embodiments in the present application may be arbitrarily combined with each other.

Referring to FIG. 1 , an embodiment of the present invention provides a method for implementing unlocking, including:

Step 100: Obtain a graphic formed by a user sliding on a screen. The specific implementation of this step is a well-known technology of the present invention, and is not intended to limit the scope of protection of the embodiments of the present invention, and details are not described herein again.

Step 101: Calculate the similarity between the obtained graphic and the preset graphic, and unlock the screen when it is determined that the calculated similarity is greater than or equal to the preset threshold.

The method provided by the embodiment of the present invention further includes:

In step 101, calculating the similarity between the obtained graphic and the preset graphic includes:

The first feature data of the obtained graphic and the second feature data of the preset graphic are respectively extracted, and the similarity between the first feature data and the second feature data is calculated. How to obtain the well-known technology of the present invention is not limited to the scope of protection of the embodiments of the present invention, and details are not described herein again.

or,

Obtaining a preset graphic formed by the user sliding on the screen, extracting second feature data of the preset graphic and saving; correspondingly,

among them,

Extracting the second feature data of the preset graphic comprises: extracting the M second feature data of the preset graphic by using different M feature data extraction methods respectively.

Step 101 specifically includes:

The M feature data extraction methods are used to extract the M second feature data of the preset graphics, and the i-th first feature data of the obtained graphics is extracted by the i-th feature data extraction method, and different N calculations are respectively adopted. The method calculates (M×N) first similarities between the i-th first feature data and the M second feature data, and determines one or more of (M×N) first similarities When a similarity is greater than or equal to the preset threshold, the screen is unlocked. Wherein M is an integer greater than or equal to 1, i is one of integers from 1 to M, and N is an integer greater than or equal to 1.

Among them, the feature data extraction method and the calculation method are existing algorithms. The feature data extraction method may be a polynomial approximation algorithm, a B-spline approximation algorithm or a curve fitting algorithm; the calculation method may be a similarity function method, a feature difference normal distribution method, or the like.

In the embodiment of the present invention, different feature data extraction methods and different N calculation methods are used in the embodiment of the present invention, and the multiple feature data extraction methods and different calculation methods have different advantages. The feature data extraction method and calculation method effectively avoid the appearance of blind spots and improve the accuracy of graph determination.

Further, the method provided by the embodiment of the present invention further includes: when it is determined that the calculated first similarity is less than a preset threshold, the screen remains locked. specifically,

When it is determined that the calculated (M×N) first similarities are less than the preset threshold, the (i+1)thth of the obtained graphics is extracted by the (i+1)th feature data extraction method. For a feature data, (M×N) second similarities between the (i+1)th first feature data and the M second feature data are calculated using N calculation methods.

Or, step 101 specifically includes:

The i-th first feature data of the obtained figure is extracted by the i-th feature data extraction method, and the difference between the i-th first feature data and the M second feature data is calculated by using different N calculation methods respectively (M× N) first similarities, when one or one of (M × N) first similarities is judged When the first similarity is greater than or equal to the preset threshold, the screen is unlocked; wherein M is an integer greater than or equal to 1, i is one of integers from 1 to M, and N is an integer greater than or equal to 1.

Further, the method provided by the embodiment of the present invention further includes: when it is determined that the calculated similarity is less than a preset threshold, the screen remains locked. specifically,

In the method of the embodiment of the present invention, the graphics formed by the user sliding on the screen have an infinite number of possibilities, thereby improving the security of the mobile terminal.

Referring to FIG. 2, an embodiment of the present invention further provides an apparatus for implementing unlocking, which at least includes:

The judging module is configured to determine that the calculated similarity is greater than or equal to a preset threshold, and unlock the screen. Further, the determining module is further configured to: determine that the calculated similarity is less than a preset threshold, and the screen remains locked.

In the device provided by the embodiment of the present invention, the acquiring module is further configured to: acquire a preset graphic formed by the user sliding on the screen and save; correspondingly,

The calculation module is specifically configured to: respectively extract the first feature data of the obtained graphic and the second feature data of the preset graphic, and calculate a similarity between the first feature data and the second feature data;

In the device provided by the embodiment of the present invention, the acquiring module is further configured to: acquire a preset graphic formed by the user sliding on the screen, and extract and save the second feature data of the preset graphic;

The calculation module is specifically configured to: extract first feature data of the obtained graphic, and calculate a similarity between the first feature data and the second feature data of the preset graphic.

In the apparatus provided by the embodiment of the present invention, the calculation module is specifically configured to:

The M feature data extraction methods are used to extract the M second feature data of the preset graphics, and the i-th first feature data of the obtained graphics is extracted by the i-th feature data extraction method, and different N calculations are respectively adopted. The method calculates (M×N) first similarities between the i-th first feature data and the M second feature data;

The judgment module is specifically set to:

Determining that one or more similarities of (M×N) first similarities are greater than or equal to a preset threshold, unlocking a screen; wherein, M is an integer greater than or equal to 1, and i is an integer from 1 to M One of them, N is an integer greater than or equal to 1.

In the apparatus provided by the embodiment of the present invention, the determining module is further configured to: determine that the calculated (M×N) first similarities are less than a preset threshold;

The calculation module is also set to:

The (i+1)th first feature data of the obtained figure is extracted by the (i+1) feature data extraction method, and the (i+1)th first feature data and the M first numbers are calculated by using N calculation methods. (M×N) second similarities between the two feature data; correspondingly,

In the device of the present invention, the determining module is further configured to:

It is judged that the calculated (M×N) second similarities are all smaller than the preset threshold, and i is equal to M, and the screen remains locked.

In the apparatus provided by the embodiment of the present invention, the calculation module is further configured to: extract the M second feature data of the preset graphics by using different M feature data extraction methods respectively.

It should be noted that the above-mentioned embodiments are only for the purpose of facilitating the understanding of those skilled in the art, and are not intended to limit the scope of the present invention, and those skilled in the art will Any obvious substitutions and improvements made by the invention are within the scope of the invention.

Industrial applicability

The method and device for implementing unlocking according to an embodiment of the present invention include: acquiring a graphic formed by a user sliding on a screen; calculating a similarity between the obtained graphic and the preset graphic, and determining that the calculated similarity is greater than or equal to When the threshold is preset, the screen is unlocked. Embodiments of the present invention by comparison The technical solution of unlocking the screen by the user sliding the formed image on the screen and the preset image, the image formed by the user sliding on the screen has an infinite variety of possibilities, greatly reducing the possibility that the unlock password is cracked. , thereby improving the security of the mobile terminal.

Claims

A method for implementing unlocking, comprising:

Obtaining a graphic formed by the user sliding on the screen;

Calculating the similarity between the obtained graphic and the preset graphic, and unlocking the screen when it is determined that the calculated similarity is greater than or equal to the preset threshold.
The method according to claim 1, wherein the method further comprises: acquiring a preset graphic formed by the user sliding on the screen and saving.
The method according to claim 2, wherein the similarity between the calculated graphics and the preset graphics comprises:

The first feature data of the obtained graphic and the second feature data of the preset graphic are respectively extracted, and the similarity between the first feature data and the second feature data is calculated.
The method according to claim 1, wherein the method further comprises: acquiring a preset graphic formed by the user sliding on the screen, extracting second feature data of the preset graphic, and saving.
The method according to claim 4, wherein the similarity between the calculated graphics and the preset graphics comprises:

The first feature data of the obtained graphic is extracted, and the similarity between the first feature data and the second feature data of the preset graphic is calculated.
The method according to claim 3 or 4, wherein the extracting the second feature data of the preset graphic comprises:

M pieces of second feature data of the preset figure are respectively extracted by using different M feature data extraction methods, wherein M is an integer greater than or equal to 1.
The method according to claim 1 or 2, wherein the calculating the similarity between the obtained graphic and the preset graphic, and unlocking when the calculated similarity is greater than or equal to the preset threshold, unlocking The screen includes:

Extracting M second feature data of the preset graphic by using different M feature data extraction methods, and extracting the i-th first feature data of the obtained graphic by using the i-th feature data extraction method, Calculating (M×N) first similarities between the i-th first feature data and the M second feature data by using different N calculation methods, respectively, when determining the (M×N) first The one screen is unlocked when one or more first similarities in the similarity are greater than or equal to the preset threshold;

Wherein M is an integer greater than or equal to 1, i is one of integers from 1 to M, and N is an integer greater than or equal to 1.
The method according to claim 7, wherein when it is determined that the calculated first similarity is less than a preset threshold, the screen remains locked, and specifically includes:

The (i+1)th first feature data of the obtained figure is extracted by the (i+1) feature data extraction method, and the (i+1)th first feature data and the M first numbers are calculated by using N calculation methods. (M×N) second similarities between the two feature data;

When it is judged that the calculated (M×N) second similarities are both smaller than the preset threshold and i is equal to M, the screen remains in the locked state.
The method according to claim 1 or 2, wherein the calculating the similarity between the obtained graphic and the preset graphic, and unlocking when the calculated similarity is greater than or equal to the preset threshold, unlocking The screen includes:

The i-th first feature data of the obtained figure is extracted by the i-th feature data extraction method, and the difference between the i-th first feature data and the M second feature data is calculated by using different N calculation methods respectively (M× N) first similarities, when it is determined that one or more first similarities of (M×N) first similarities are greater than or equal to a preset threshold, the screen is unlocked;

Wherein M is an integer greater than or equal to 1, i is one of integers from 1 to M, and N is an integer greater than or equal to 1.
The method according to claim 9, wherein when it is determined that the calculated first similarity is less than a preset threshold, the screen remains locked, and specifically includes:

When it is determined that the calculated (M×N) first similarities are less than a preset threshold, the (i+1)th of the obtained graphics is extracted by the (i+1)th feature data extraction method. a first feature data, using (N) calculation methods to calculate (M×N) second similarities between the (i+1)th first feature data and the M second feature data;

When it is determined that the calculated (M×N) second similarities are less than a preset threshold, and i is equal to At M, the screen remains locked.
A device for unlocking, characterized in that it comprises at least:

Obtaining a module, configured to obtain a graphic formed by a user sliding on the screen;

a calculation module configured to calculate a similarity between the obtained graphic and the preset graphic;

The judging module is configured to determine that the calculated similarity is greater than or equal to a preset threshold, and unlock the screen.
The apparatus according to claim 11, wherein the determining module is further configured to: determine that the calculated similarity is less than a preset threshold, and the screen remains locked.
The device according to claim 11, wherein the obtaining module is further configured to:

Obtaining a preset graphic formed by the user sliding on the screen and saving; correspondingly,

The calculating module is specifically configured to: respectively extract the first feature data of the obtained graphic and the second feature data of the preset graphic, and calculate a similarity between the first feature data and the second feature data.
The device according to claim 11, wherein the obtaining module is further configured to: acquire a preset graphic formed by the user sliding on the screen, extract second feature data of the preset graphic, and save; Ground,

The calculating module is specifically configured to: extract first feature data of the obtained graphic, and calculate a similarity between the first feature data and the second feature data of the preset graphic.
The device according to claim 11, wherein the calculating module is specifically configured to: extract M second feature data of the preset graphic by using different M feature data extraction methods, and extract the feature data by using the i-th feature data. Extracting the i-th first feature data of the obtained graphic, and calculating (M×N) first similarities between the i-th first feature data and the M second feature data by using different N calculation methods respectively degree;

The determining module is specifically configured to:

Determining that one or more first similarities of the (M×N) first similarities are greater than or equal to the preset threshold, unlocking a screen; wherein, M is an integer greater than or equal to 1, i An integer of 1 to M, N is an integer greater than or equal to 1.
The device according to claim 15, wherein the determining module is further configured to:

Determining that the calculated (M×N) first similarities are all smaller than the preset threshold;

The calculation module is further configured to: extract (i+1) first feature data of the obtained graphic by using the (i+1) feature data extraction method, and calculate the (i+1) by using the N calculation methods; (M×N) second similarities between the first feature data and the M second feature data; correspondingly,

The determining module is further configured to: determine that the calculated (M×N) second similarities are less than a preset threshold, and i is equal to M, and the screen remains locked.