The present disclosure relates to the technical field of fingerprint recognition, and in particular, to a fingerprint authentication method and system, and a terminal supporting fingerprint authentication.
With the spread of mobile payment and the increase in users' awareness of security, now more and more smart phones and tablet has been integrated with fingerprint recognition modules. At present, the main use of a fingerprint recognition module in a mobile phone is unlocking screen by a fingerprint instead of a password, and therefore the speed of fingerprint recognition is a main factor that affects user experience.
At present, the use of a fingerprint recognition function generally includes two major steps: 1. fingerprint registration; and 2. fingerprint matching. The fingerprint registration refers to a process of recording an authorized fingerprint feature to a device. The procedure of the fingerprint registration is shown in
As can be seen from the procedure shown in
A first technical problem to be resolved by the present disclosure lies in providing a fingerprint authentication method, which intends to increase the speed of fingerprint recognition and provide a better user experience.
The present disclosure is implemented as follows: a fingerprint authentication method including the following steps:
a fingerprint receiving step: receiving fingerprint information input by a user; and
a fingerprint template matching step: selecting a fingerprint template that has a highest using frequency from fingerprint templates on which matching has not been performed, and matching the fingerprint template with the fingerprint information, wherein a fingerprint authentication succeeds when the fingerprint template matches with the fingerprint information, and the fingerprint template matching step is re-performed when the fingerprint template fails to match with the fingerprint information.
A second technical problem to be resolved by the present disclosure lies in providing a fingerprint authentication system, including:
a fingerprint receiving module configured to receive fingerprint information input by a user; and
a fingerprint template matching module configured to select a fingerprint template that has a highest using frequency from fingerprint templates on which matching has not been performed, and match the fingerprint template with the fingerprint information, wherein a fingerprint authentication succeeds when the fingerprint template matches with the fingerprint information, and the fingerprint template matching module re-performs selecting and matching when the fingerprint template fails to match with the fingerprint information.
A third technical problem to be resolved by the present disclosure lies in providing a terminal supporting a fingerprint authentication, including the fingerprint authentication system as described above.
In the present disclosure, by learning and making statistics of operating habits of a user, adjusting a matching sequence of fingerprint templates, and matching by directly using a fingerprint template having a highest possibility of successful matching, the speed of fingerprint recognition can be effectively increased, and better user experience can be brought to users.
In order to make the objective, the technical solutions, and the advantages of the present disclosure more clear and easy to understand, the present disclosure is further described in detail in the embodiments in combination with the accompanying drawings. It should be understood that the specific embodiments described herein are used only to interpret the present disclosure, but are not intended to limit the present disclosure.
In the present disclosure, in consideration of the facts that a user normally uses an accustomed finger to perform a fingerprint recognition due to operating habits and an area of the finger used in fingerprint recognition is also relatively centralized, the present disclosure improves the speed of fingerprint matching by means of learning and making statistics of the operating habits of the user.
On the basis of the foregoing principles,
The fingerprint authentication method as shown in
As can be seen from the above method, in the present disclosure, a matching sequence of fingerprint templates is adjusted, a fingerprint template having a highest possibility of successful matching (that is, the fingerprint template that has the highest using frequency is considered to have the highest possibility of successful matching) is directly used for matching. As such, a speed of fingerprint recognition can be effectively increased, and better user experience can be brought about for users.
Further in consideration of the fact that a terminal may be used by several persons, or one same person may use different fingers in different operations, there may be several fingerprint templates having relative high using frequencies. To further improve the matching speed, as an improvement of the present disclosure, a finger template is determined prior to fingerprint matching. Referring to
Step S301 is a fingerprint receiving step: fingerprint information input by a user is received.
Step S302 is a finger template selection step: a finger template that has not been selected is firstly selected from a finger template database, and then a fingerprint template matching step is performed on several fingerprint templates corresponding to the selected finger template.
In the present disclosure, each finger template corresponds to several fingerprint templates. Differences between the several fingerprint templates that pertain to the same finger template mainly lie in aspects of touch areas, press strength, sharpness, or the like. In this step, the finger template may be selected on the basis of a using frequency, a priority level, or a current application scenario. Descriptions are as follows.
Referring to
In this embodiment, each time the authentication succeeds, a fingerprint template having a highest matching degree with a fingerprint sample and a finger template to which the fingerprint template pertains are automatically recorded, and then a using frequency of each finger template and a using frequency of each fingerprint template corresponding to the finger template are obtained by means of statistics according to the recorded data. Each time when fingerprint matching authentication is performed, a fingerprint template having a high using frequency corresponding to a finger template having a high using frequency are preferably selected by algorithm according to the statistic using frequency data, for matching recognition with the fingerprint sample. Therefore, when the user performs fingerprint authentication using an accustomed method, a template having a highest matching probability according to the user's habits can be selected for matching by the algorithm, thereby reducing the matching times of matching and improving the overall matching speed.
Referring to
As compared with embodiment 1, in embodiment 2, only a using frequency of each fingerprint template corresponding to each registered finger template is counted, while a using frequency of the registered finger template is not counted. In the method, a user is allowed to independently define priority levels of the fingers. That is, the user can independently define the using frequency of the registered finger template according to operating habits of the user. Each time when fingerprint matching authentication is performed, a fingerprint template having a high using frequency corresponding to a finger template having a high priority level is preferably selected by the algorithm, according to priority levels of the finger templates independently defined by the user and the statistic using frequencies of the fingerprint templates, for matching recognition with a fingerprint sample. As compared with the method of embodiment 1 in which using frequencies of the fingers are automatically counted by using an algorithm, the accuracy and flexibility of embodiment 2 are improved.
Referring to
As compared with embodiment 1, in the method provided in embodiment 3, a fingerprint matching algorithm needs to learn about an application scenario for performing matching authentication (for example, the algorithm needs to learn about whether a current matched scenario is identity authentication for screen unlocking or for mobile payment). In the algorithm, each time the authentication succeeds, a fingerprint template having a highest matching degree with a fingerprint sample, a finger template to which the fingerprint template pertains, and an application scenario are automatically recorded, and then a using frequency of each finger template and a using frequency of each fingerprint template corresponding to the finger template in different scenarios are obtained by means of statistics according to the recorded data. Each time when fingerprint matching authentication is performed, a fingerprint template having a high using frequency corresponding to a finger template having a high using frequency is preferably selected by the algorithm, according to the statistics using frequency data in the current application scenario, for matching recognition with the fingerprint sample. As compared with embodiment 1, although the complexity of the method is increased, the accuracy is also increased correspondingly.
It should be noted that a user can also independently define a priority level of a finger template in a specific application scenario. A finger template that has a highest priority level defined by a user in the application scenario is selected from finger templates on which selection has not been performed, and a fingerprint template having a high using frequency corresponding to the finger template is then selected for matching recognition with a fingerprint sample. After the matching succeeds, using frequency record information of fingerprint templates is updated.
Step S303 is a fingerprint template matching step: a fingerprint template that has a highest using frequency is selected from fingerprint templates on which matching has not been performed, and then the selected fingerprint template is matched with the received fingerprint information if the matching succeeds, it is determined that fingerprint authentication succeeds, and if the matching fails, this step is performed again.
During step S303, if all fingerprint templates corresponding to the selected finger template fail to match with the fingerprint sample, step S302 is performed again, to select a new finger template; and if no finger template on which selection has not been performed in the finger template database, the authentication fails.
A person of ordinary skill in the art may understand that all or some of the steps in the foregoing method provided by the embodiments may be implemented by a program instructing relevant hardware. The program may be stored in a computer readable storage medium. The storage medium may be a ROM/RAM, a magnetic disk, an optical disc, or the like.
Referring to
As stated above, in consideration of the fact that the terminal may be used by several persons, or one same person may use different fingers in different operations, as shown in
After the finger template is selected by the finger template selection module 711, if the fingerprint template matching module 72 fails in matching with respect to all fingerprint templates that correspond to the selected fingerprint template, the finger template selection module 711 performs finger template selection again to select a new finger template. If no finger template on which selection has not been performed in the finger template database, the authentication fails.
In the present disclosure selection of a finger template by the finger template selection module 711 may be on the basis of a using frequency, a priority level, or a current application scenario.
With respect to selection of a finger template on the basis of a using frequency, generally a finger template that has a highest using frequency is selected. The system further includes a first recording module, configured to update using frequency record information of the finger templates and the fingerprint templates after the matching succeeds.
With respect to selection of a finger template on the basis of a priority level, a user is supported to independently define priority levels of finger templates. That is, the user can independently define a priority level sequence of all the finger templates. Generally, a finger template that has a highest priority level defined by a user is selected from finger templates on which selection has not been performed. The system further includes a second recording module, configured to update using frequency record information of the fingerprint templates after the matching succeeds.
With respect to selection of a finger template on the basis of a current application scenario, classified statistics is performed on a using frequency of a finger template according to a specific application scenario. Generally, a finger template that has a highest using frequency in a current application scenario is selected from finger templates on which selection has not been performed. The system further includes a third recording module, configured to update using frequency record information of the finger templates and the fingerprint templates in the current application scenario after the matching succeeds.
The foregoing descriptions are merely preferred embodiments of the present disclosure, but are not intended to limit the present disclosure. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present disclosure shall fall within the protection scope of the present disclosure.
Number | Date | Country | Kind |
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201510074067.4 | Feb 2015 | CN | national |
The present application is a continuation of international application No. PCT/CN2015/094710, filed on Nov. 16, 2015, which claims priority to Chinese Patent Application No. CN201510074067.4, filed on Feb. 12, 2015, both of which are hereby incorporated herein by reference in their entireties.
Number | Date | Country | |
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Parent | PCT/CN2015/094710 | Nov 2015 | US |
Child | 15460845 | US |