Identity information verification
An example method for verifying identity information includes: receiving image information transmitted and rendered by a client; extracting feature information from the image information; matching the feature information with the feature determination information collected in advance; the feature determination information having associated identity information; determining whether the client fits with the identity information when the match is successful. The example embodiment of the present disclosure identifies a user on the basis of the uniqueness of the image information rendered by different client environments and clients, ensuring the accuracy of identification of user identity information, meanwhile avoiding the problem that the user identity information cannot be identified due to the shutdown of Cookie by clients, and raising the success rate of identification of identity information.
1. A method comprising:
receiving image information sent by a client terminal;
extracting characteristic information from the image information;
matching the characteristic information with pre-collected characteristic judgment information, the pre-collected characteristic judgment information having associated identity information related to a uniqueness of rendering the image information by the client terminal, the pre-collected characteristic judgment information including at least one of shape characteristic judgment information and color characteristic judgment information; and
judging, when the matching succeeds, that the client terminal fits the identity information.
2. The method of claim 1 , wherein the image information is a vector graph.
3. The method of claim 2 , wherein the image information is obtained by the client terminal through rendering according to scalable vector graphics.
4. The method of claim 1 , wherein the matching the characteristic information with the pre-collected characteristic judgment information includes:
calculating a similarity degree between the characteristic information and the pre-collected characteristic judgment information; and
judging that the similarity degree is greater than a preset similarity degree threshold; and
judging that the matching between the characteristic information and the pre-collected characteristic judgment information succeeds.
5. The method of claim 1 , wherein the matching the characteristic information with the pre-collected characteristic judgment information includes:
calculating a similarity degree between the characteristic information and the pre-collected characteristic judgment information; and
judging that the similarity degree is no greater than a preset similarity degree threshold; and
judging that the matching between the characteristic information and the pre-collected characteristic judgment information fails.
6. The method of claim 5 , wherein the characteristic information includes at least one of shape characteristic information and color characteristic information.
7. The method of claim 6 , wherein the characteristic judgment information comprises at least one of shape characteristic judgment information and color characteristic judgment information.
8. The method of claim 6 , wherein the calculating the similarity degree between the characteristic information and the pre-collected characteristic judgment information includes:
calculating a similarity degree between at least one of the shape characteristic information and the color characteristic information and at least one of the corresponding shape characteristic judgment information and color characteristic judgment information.
9. The method of claim 1 , further comprising:
configuring new identity information for the client terminal when the matching fails; and
establishing an association between the characteristic information and the new identity information.
10. An apparatus comprising:
one or more processors; and
one or more memories stored thereon computer readable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising:
receiving image information sent by a client terminal;
extracting characteristic information from the image information;
matching the characteristic information with pre-collected characteristic judgment information, the characteristic judgment information having associated identity information related to a uniqueness of rendering the image information by the client terminal; and
judging, when the matching succeeds, that the client terminal fits the identity information.
11. The apparatus of claim 10 , wherein the image information is a vector graph.
12. The apparatus of claim 10 , wherein the image information is obtained by the client terminal through rendering according to scalable vector graphics.
13. The apparatus of claim 10 , wherein the matching the characteristic information with pre-collected characteristic judgment information includes:
calculating a similarity degree between the characteristic information and the pre-collected characteristic judgment information; and
judging that the similarity degree is greater than a preset similarity degree threshold; and
judging that the matching between the characteristic information and the pre-collected characteristic judgment information succeeds.
14. The apparatus of claim 10 , wherein the matching the characteristic information with pre-collected characteristic judgment information includes:
calculating a similarity degree between the characteristic information and the pre-collected characteristic judgment information; and
judging that the similarity degree is no greater than a preset similarity degree threshold; and
judging that the matching between the characteristic information and the pre-collected characteristic judgment information fails.
15. The apparatus of claim 10 , wherein:
the characteristic information includes at least one of shape characteristic information and color characteristic information; and
the characteristic judgment information includes at least one of shape characteristic judgment information and color characteristic judgment information.
16. The apparatus of claim 15 , wherein the calculating the similarity degree between the characteristic information and the pre-collected characteristic judgment information includes:
calculating a similarity degree between at least one of the shape characteristic information and the color characteristic information and at least one of the corresponding shape characteristic judgment information and color characteristic judgment information.
17. The apparatus of claim 10 , wherein the acts further comprise:
configuring new identity information for the client terminal when the matching fails; and
establishing an association between the characteristic information and the new identity information.
18. One or more memories stored thereon computer readable instructions that, when executed by one or more processors, cause the one or more processors to perform acts comprising:
receiving image information sent by a client terminal;
extracting characteristic information from the image information, the characteristic information including at least one of shape characteristic information and color characteristic information;
matching the characteristic information with pre-collected characteristic judgment information, the characteristic judgment information having associated identity information, the pre-collected characteristic judgment information including at least one of shape characteristic judgment information and color characteristic judgment information related to a uniqueness of rendering the image information by the client terminal due to hardware and software setting used by the client terminal, the matching including calculating a similarity degree between at least one of the shape characteristic information and the color characteristic information and at least one of the corresponding shape characteristic judgment information and color characteristic judgment information;
judging that the similarity degree is greater than a preset similarity degree threshold;
judging that the matching between the characteristic information and the pre-collected characteristic judgment information succeeds; and
judging that the client terminal fits the identity information.
19. The one or more memories of claim 17 , wherein the image information is a vector graph.
20. The one or more memories of claim 19 , wherein the image information is obtained by the client terminal through rendering according to scalable vector graphics.