WO2017214793A1 - Procédé et appareil de génération de modèle d'empreinte digitale - Google Patents

Procédé et appareil de génération de modèle d'empreinte digitale Download PDF

Info

Publication number
WO2017214793A1
WO2017214793A1 PCT/CN2016/085546 CN2016085546W WO2017214793A1 WO 2017214793 A1 WO2017214793 A1 WO 2017214793A1 CN 2016085546 W CN2016085546 W CN 2016085546W WO 2017214793 A1 WO2017214793 A1 WO 2017214793A1
Authority
WO
WIPO (PCT)
Prior art keywords
fingerprint
fingerprint image
candidate
image
threshold
Prior art date
Application number
PCT/CN2016/085546
Other languages
English (en)
Chinese (zh)
Inventor
纪传舜
杜慧
葛琦
Original Assignee
北京小米移动软件有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to CN201680000734.7A priority Critical patent/CN106104575B/zh
Priority to PCT/CN2016/085546 priority patent/WO2017214793A1/fr
Publication of WO2017214793A1 publication Critical patent/WO2017214793A1/fr

Links

Images

Classifications

    • 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
    • G06V40/1335—Combining adjacent partial images (e.g. slices) to create a composite input or reference pattern; Tracking a sweeping finger movement
    • 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
    • G06V40/13—Sensors therefor

Definitions

  • the present disclosure relates to the field of fingerprint recognition, and in particular, to a fingerprint template generation method and apparatus.
  • fingerprint recognition is widely used in mobile terminals such as smart phones and tablet computers to ensure the security of personal information of users.
  • Fingerprint recognition usually includes a fingerprint entry phase and a fingerprint recognition phase.
  • the user enters the fingerprint on the fingerprint recognition sensor according to the prompt of the mobile terminal, and the mobile terminal splices the fingerprint images collected by the fingerprint recognition sensor to generate corresponding fingerprints.
  • the fingerprint template is used by the mobile terminal to detect whether the fingerprint image collected by the fingerprint recognition sensor matches the fingerprint template, and if the fingerprint image matches the fingerprint template, the fingerprint identification is determined.
  • the generated fingerprint template is only applicable to a part of the fingerprint area, which affects the success rate of fingerprint recognition.
  • the present disclosure provides a fingerprint template generation method and apparatus.
  • the technical solution is as follows:
  • a method for generating a fingerprint template comprising:
  • the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i ⁇ 2, and i is a natural number;
  • a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.
  • the package include:
  • the i-th fingerprint image is deleted from the candidate fingerprint image set.
  • acquiring image quality of each of the i-th fingerprint image and the j-th fingerprint image includes:
  • the image quality is determined according to the feature point density, and the feature point density is proportional to the image quality.
  • detecting whether the amount of information included in the candidate fingerprint image set reaches a threshold includes:
  • calculating a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set including:
  • the similarity is weighted according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the degree of matching of the fingerprint feature point positions.
  • the method further includes:
  • the first prompt information is displayed, where the first prompt information is used to indicate that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region;
  • the second prompt information is displayed, and the second prompt information is used to indicate that the jth fingerprint image has been replaced with the ith fingerprint image.
  • the method further includes:
  • the third prompt information is displayed, and the third prompt information is used to indicate that the fingerprint entry fails.
  • a fingerprint template generating apparatus comprising:
  • the adding module is configured to add the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint during the input process of the target fingerprint, i ⁇ 2, and i is a natural number;
  • a calculation module configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j ⁇ i, and j is a natural number
  • the deleting module is configured to delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold;
  • a detecting module configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold
  • the generating module is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.
  • deleting the module includes:
  • the first deleting submodule is configured to delete the jth fingerprint image from the candidate fingerprint image set if the image quality of the i th fingerprint image is higher than the image quality of the j th fingerprint image;
  • the second deletion sub-module is configured to delete the i-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image.
  • obtaining a submodule including:
  • An area obtaining submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image
  • a quantity acquisition submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image
  • the density calculation sub-module is configured to calculate the i-th based on the fingerprint image area and the number of fingerprint feature points a feature point density of each of the fingerprint image and the j-th fingerprint image;
  • the determining sub-module is configured to determine the image quality according to the feature point density, and the feature point density is proportional to the image quality.
  • the detecting module comprises:
  • the first detecting submodule is configured to detect whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, determining that the amount of information included in the candidate fingerprint image set reaches a threshold ;
  • a second detecting submodule configured to detect whether a sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, determining The amount of information contained in the candidate fingerprint image set reaches a threshold;
  • the third detecting sub-module is configured to detect whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining the candidate fingerprint The amount of information contained in the image set reaches the threshold.
  • the computing module includes:
  • a first acquiring submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image
  • a second acquiring submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image
  • a third acquiring submodule configured to acquire a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image
  • the calculation sub-module is configured to calculate the similarity by weight according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.
  • the device further includes:
  • the first display module is configured to display the first prompt information when the ith fingerprint image is deleted from the candidate fingerprint image set, where the first prompt information is used to indicate that the ith fingerprint image and the jth fingerprint image correspond to the same fingerprint region ;
  • the second display module is configured to display the second prompt information when the j-th fingerprint image is deleted from the candidate fingerprint image set, and the second prompt information is used to indicate that the j-th fingerprint image has been replaced with the ith fingerprint image.
  • the device further includes:
  • the third display module is configured to display the third prompt information when the number of the deleted fingerprint images reaches the fourth threshold, and the third prompt information is used to indicate that the fingerprint entry fails.
  • a fingerprint template generating apparatus comprising:
  • a memory for storing processor executable instructions
  • processor is configured to:
  • the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i ⁇ 2, and i is a natural number;
  • a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.
  • Fingerprint template By calculating the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint entry phase, and retaining one of the fingerprint images for generating when the similarity between the two fingerprint images is greater than the similarity threshold Fingerprint template; solves the problem of repeatedly generating the fingerprint image of the same area by multiple entry methods to generate a fingerprint template, resulting in the generated fingerprint template only applicable to part of the fingerprint area, affecting the success rate of fingerprint recognition; reaching the fingerprint of the candidate fingerprint image set
  • the fingerprint regions corresponding to the images are different, so that the generated fingerprint template can cover the entire fingerprint region of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving the success rate of fingerprint recognition.
  • FIG. 1 is a flowchart of a method for generating a fingerprint template provided by an exemplary embodiment
  • FIG. 2A is a flowchart of a method for generating a fingerprint template provided by another exemplary embodiment
  • FIG. 2B is a flowchart of a fingerprint image similarity calculation process involved in the fingerprint template generation method shown in FIG. 2A;
  • FIG. 2C is a flowchart of an image quality determining process involved in the fingerprint template generating method shown in FIG. 2A;
  • 2D is a flowchart of a method for generating a fingerprint template provided by still another exemplary embodiment
  • FIG. 2E and 2F are schematic diagrams of interfaces involved in the fingerprint template generation method shown in FIG. 2D;
  • 2G is a flowchart of a method for generating a fingerprint template provided by still another exemplary embodiment
  • FIG. 2H is a schematic diagram of an interface involved in the method for generating a fingerprint template shown in FIG. 2G;
  • FIG. 3 is a schematic structural diagram of a fingerprint template generating apparatus according to an exemplary embodiment
  • FIG. 4 is a schematic structural diagram of a fingerprint template generating apparatus according to another exemplary embodiment
  • FIG. 5 is a block diagram of a mobile terminal, according to an exemplary embodiment.
  • a fingerprint template generating method is used for an electronic device configured with a fingerprint recognition sensor
  • the electronic device may be a smart phone, a tablet computer, an e-book reader or a portable personal computer or the like.
  • the fingerprint recognition sensor may be a push-type fingerprint recognition sensor (a finger is pressed on the sensor to acquire a fingerprint image) or a sliding fingerprint recognition sensor (a finger is swiped over the sensor to acquire a fingerprint image) or the like, which is not limited by the present disclosure.
  • the fingerprint recognition sensor in the electronic device is also electrically connected to the processor and the memory.
  • the fingerprint entry stage the fingerprint image collected by the fingerprint recognition sensor is stored in the memory, and the processor generates a corresponding fingerprint template according to the fingerprint image, and stores the fingerprint in the memory; in the fingerprint identification stage, The processor obtains the fingerprint image collected by the fingerprint recognition sensor, matches the fingerprint image with the fingerprint template stored in the memory, and determines to pass the fingerprint verification when the fingerprint image matches the fingerprint template.
  • the following embodiments are described by using the fingerprint template generation method for a mobile terminal as an example, and the present disclosure is not limited thereto.
  • FIG. 1 is a flow chart showing a method of generating a fingerprint template provided by an exemplary embodiment.
  • the fingerprint template generation method is applied to an electronic device configured with a fingerprint recognition sensor for illustration.
  • the method for generating a fingerprint template includes:
  • step 101 in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i ⁇ 2, and i is a natural number.
  • the mobile terminal adds the first fingerprint image collected by the fingerprint recognition sensor directly to the candidate fingerprint image set corresponding to the target fingerprint, and does not need to perform similarity calculation (the candidate fingerprint image set only Include a fingerprint image); for the ith fingerprint image acquired by the fingerprint recognition sensor, the mobile terminal adds the ith fingerprint image to the candidate fingerprint image set, and calculates the ith fingerprint image and the candidate fingerprint image by step 103 Concentrate the similarity of each fingerprint image that has been stored.
  • step 103 the similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set is calculated, j ⁇ i, and j is a natural number.
  • the mobile terminal may calculate the similarity between the two fingerprint images according to the shape, the area, the number of fingerprint feature points, and the distribution position of the fingerprint image.
  • step 105 if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the i-th fingerprint image or the j-th fingerprint image is deleted from the candidate fingerprint image set.
  • the mobile terminal determines that the two fingerprint images correspond to the same fingerprint region of the target fingerprint, and the mobile terminal selectively deletes one fingerprint image, thereby ensuring that each fingerprint image of the candidate fingerprint image is concentrated. Corresponds to different fingerprint areas.
  • the mobile terminal determines that the i-th fingerprint image does not belong to the target fingerprint. And deleting the i-th fingerprint image from the candidate fingerprint image set.
  • the lowest similarity threshold for example, 20%
  • step 107 it is detected whether the amount of information contained in the candidate fingerprint image set reaches a threshold.
  • the amount of information included in the candidate fingerprint image set reaches a threshold value, that is, the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, and/or the fingerprint feature points of each fingerprint image in the candidate fingerprint image set The sum reaches a second threshold, and/or the sum of the fingerprint areas of the fingerprint images in the candidate fingerprint image set reaches a third threshold.
  • step 109 when the amount of information included in the candidate fingerprint image set reaches a threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.
  • the mobile terminal In order to ensure the quality of the generated fingerprint template, when the amount of information included in the candidate fingerprint image set reaches a threshold, the mobile terminal generates a corresponding fingerprint template according to each fingerprint image in the candidate fingerprint image set; when the information amount of the candidate fingerprint image set does not exist When the threshold is reached, the mobile terminal instructs the fingerprint recognition sensor to continue collecting fingerprint images until the amount of information reaches a threshold.
  • the fingerprint template generation method calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images.
  • the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; the fingerprint template generated by repeatedly recording the same area is generated by the multiple entry method, and the generated fingerprint template is only applicable to the partial fingerprint area, affecting the fingerprint.
  • the problem of the success rate of recognition the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint area of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving fingerprint recognition. Success rate.
  • the mobile terminal In order to further improve the quality of the generated fingerprint template, thereby improving the success rate of fingerprint recognition, when the similarity of the two fingerprint images in the candidate fingerprint image set is greater than the similarity threshold, the mobile terminal retains the fingerprint with higher image quality in the two fingerprint images. Image, delete the fingerprint image with lower image quality.
  • FIG. 2A is a flow chart showing a method of generating a fingerprint template provided by another exemplary embodiment.
  • the fingerprint template generation method is applied to an electronic device configured with a fingerprint recognition sensor for illustration.
  • the method for generating a fingerprint template includes:
  • step 201 in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i ⁇ 2, and i is a natural number.
  • the user uses the target finger to press the fingerprint recognition sensor (for the push-type fingerprint recognition sensor) or slide on the fingerprint recognition sensor (for the sliding fingerprint recognition sensor), so that the fingerprint recognition sensor can collect the fingerprint image of the target finger. .
  • the user needs to repeatedly input the target fingerprint multiple times.
  • the mobile terminal determines it as a candidate finger
  • the image is extracted, and the candidate fingerprint image is added to the candidate fingerprint image set corresponding to the target fingerprint.
  • the fingerprint image in the candidate fingerprint image set is used to generate a fingerprint template corresponding to the target fingerprint.
  • step 202 the similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set is calculated, j ⁇ i, and j is a natural number.
  • the mobile terminal does not need to process the fingerprint image.
  • the collected fingerprint image reaches a threshold value (for example, 8 photos)
  • the mobile terminal prompts the user to complete fingerprint input.
  • generating a fingerprint template according to each fingerprint image in the candidate fingerprint image set. Since the fingerprint images in the candidate fingerprint image set are not filtered, when the multiple fingerprint images correspond to the same fingerprint region, the generated fingerprint template can only cover a small portion of the fingerprint region of the target fingerprint (such as the front fingerprint region), resulting in a quality of the fingerprint template. Poor, the success rate of fingerprint recognition using the fingerprint template is also low (for example, the fingerprint template cannot be used to identify the side fingerprint area).
  • the mobile terminal For the ith fingerprint image added to the candidate fingerprint image set, the mobile terminal needs to calculate the similarity between the i-th fingerprint image and other fingerprint images in the candidate fingerprint image set. Thereby, it is determined whether the fingerprint area corresponding to the i-th fingerprint image has been covered.
  • the mobile terminal calculating the two fingerprint image similarities may include the following steps.
  • step 202A the fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image is acquired.
  • the mobile terminal can acquire the ith fingerprint image and the jth fingerprint image.
  • the area of the respective fingerprint image, and the similarity between the two is calculated.
  • step 202B the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image is acquired.
  • the fingerprint image contains a large number of fingerprint feature points, including the bifurcation point, the triangle point, the end point and the spiral center point of the fingerprint pattern.
  • the mobile terminal can acquire the fingerprints of the i-th fingerprint image and the j-th fingerprint image. The number of feature points, and the similarity between the two is calculated.
  • step 202C the fingerprint feature point positions of the i-th fingerprint image and the j-th fingerprint image are acquired.
  • the mobile terminal can acquire the fingerprint feature point positions of the i-th fingerprint image and the j-th fingerprint image, and calculate the similarity between the two.
  • step 202D the similarity is calculated by weighting according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.
  • the mobile terminal calculates the similarity of the two fingerprint images according to at least one of the fingerprint image area, the number of fingerprint feature points, and the fingerprint feature point position acquired in the above steps 202A to 202C.
  • the mobile terminal determines the area similarity of the two fingerprint images according to the ratio of the fingerprint image areas of the two fingerprint images; and determines the ratio of the number of fingerprint feature points corresponding to the two fingerprint images.
  • the similarity degree of the feature points of the two fingerprint images according to the fingerprint feature point positions corresponding to the two fingerprint images and the predetermined matching algorithm, the mobile terminal calculates the matching degree of the fingerprint feature point positions of the two fingerprint images, thereby determining the feature points of the two fingerprint images Distribution similarity.
  • the mobile terminal performs weighting calculation according to the area similarity, the similarity degree of the feature points, the similarity of the feature point distribution, and the corresponding weight values, and obtains the similarity between the two fingerprint images, wherein the weight value of the area similarity ⁇ the feature point The weight value of the quantity similarity ⁇ the weight value of the feature point distribution similarity.
  • the correspondence between the ratio of the area of the fingerprint image and the area similarity is pre-stored in the mobile terminal, and the correspondence is schematically shown in Table 1.
  • the mobile terminal can determine the area similarity between the two fingerprint images through Table 1.
  • the correspondence between the ratio of the number of fingerprint feature points and the similarity of the number of feature points is stored in advance in the mobile terminal, and the correspondence is schematically shown in Table 2.
  • Ratio of the number of fingerprint feature points Feature point quantity similarity 0.6-0.7 0.6
  • the mobile terminal can determine the similarity degree of the feature points between the two fingerprint images through Table 2.
  • the mobile terminal determines that the area similarity between the two fingerprint images is 1.0, the feature point similarity is 0.8, and the feature point distribution similarity is 0.85, when the area similarity weight value is 0.1, and the feature point quantity similarity
  • the weight value is 0.2, and the weight value of the feature point distribution similarity is 0.7
  • the mobile terminal calculates the similarity of the fingerprint image according to the above three dimensions as an example.
  • the mobile terminal may also obtain the fingerprint contour matching degree of the fingerprint image. Aspects are calculated similarly, which is not limited in this embodiment.
  • step 203 if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the image quality of each of the i-th fingerprint image and the j-th fingerprint image is acquired.
  • the mobile terminal determines that the fingerprint region corresponding to the i-th fingerprint image and the j-th fingerprint image is different, and uses the fingerprint recognition sensor The i+1th fingerprint image is collected.
  • the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the mobile terminal determines that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region. And choose to delete a fingerprint image.
  • this step may include the following steps.
  • step 203A the fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image is acquired.
  • the mobile terminal acquires the fingerprint image area corresponding to each of the two similar fingerprint images.
  • step 203B the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image is acquired.
  • the mobile terminal acquires the number of fingerprint feature points corresponding to each of the two similar fingerprint images.
  • the i-th fingerprint is calculated according to the area of the fingerprint image and the number of fingerprint feature points.
  • the feature point density of each of the image and the jth fingerprint image is calculated according to the area of the fingerprint image and the number of fingerprint feature points.
  • the quality of the fingerprint template generated according to the fingerprint image is also The higher.
  • the fingerprint image area of the j-th fingerprint image acquired by the terminal is 0.49 cm 2 , and the number of fingerprint feature points is 14.
  • step 203D the image quality is determined according to the feature point density, and the feature point density is proportional to the image quality.
  • the image of the i-th fingerprint image The quality is higher than the image quality of the jth fingerprint image.
  • the present embodiment is described by taking the feature point density as a measure of image quality as an example, and does not limit the present disclosure.
  • step 204 if the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image, the j-th fingerprint image is deleted from the candidate fingerprint image set.
  • the mobile terminal When the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image, the mobile terminal retains the i-th fingerprint image and deletes the j-th fingerprint image.
  • step 205 if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image, the i-th fingerprint image is deleted from the candidate fingerprint image set.
  • the mobile terminal When the image quality of the jth fingerprint image is higher than the image quality of the i th fingerprint image, the mobile terminal retains the jth fingerprint image and deletes the i th fingerprint image.
  • the mobile terminal needs to repeatedly perform the above steps 201 to 205 to ensure that the fingerprint regions corresponding to the respective fingerprint images in the candidate fingerprint image set are different, thereby improving the quality of the generated fingerprint template.
  • step 206 it is determined whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, it is determined that the amount of information included in the candidate fingerprint image set reaches a threshold.
  • the mobile terminal In order to ensure that the generated fingerprint template contains sufficient information, the mobile terminal needs to generate a fingerprint template according to the fingerprint images of multiple different fingerprint regions. Therefore, in a possible implementation manner, in the target fingerprint input process, the mobile terminal detects whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, and when the number of the fingerprint images reaches the first threshold, the mobile terminal determines the candidate.
  • the fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image, and step 209 is performed.
  • the first threshold may be 6, that is, when the number of fingerprint images in the candidate fingerprint image set reaches 6, the mobile terminal determines that the candidate fingerprint image set contains sufficient information amount.
  • step 207 it is detected whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, determining the candidate fingerprint image set The amount of information contained reaches the threshold.
  • the generated fingerprint template needs to contain a sufficient amount of information, and the amount of information may refer to the number of fingerprint feature points included in the fingerprint template.
  • the mobile terminal detects whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, and when the sum of the fingerprint feature points reaches the second threshold, the mobile terminal moves.
  • the terminal determines that the candidate fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image, and performs step 209.
  • the second threshold may be 200, that is, when the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches 200, the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information.
  • step 208 it is detected whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining that the candidate fingerprint image set includes The amount of information reaches the threshold.
  • the mobile terminal detects whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold. When the sum of the areas reaches the third threshold, the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image.
  • the third threshold may be n times the upper limit of the specific numerical interval, and n ⁇ 2.
  • the third threshold may be 4 cm 2 , that is, when the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches 4 cm 2 , the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information.
  • step 209 when the amount of information included in the candidate fingerprint image set reaches a threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.
  • the adjacency relationship between the fingerprint images may be determined according to the edge feature point distribution of the fingerprint image, and the plurality of fingerprint images are spliced according to the adjacency relationship, thereby generating a fingerprint template.
  • the disclosure does not limit the specific way in which a fingerprint template is generated.
  • the fingerprint template generation method calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images.
  • the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; the fingerprint template generated by repeatedly recording the same area is generated by the multiple entry method, and the generated fingerprint template is only applicable to the partial fingerprint area, affecting the fingerprint.
  • the problem of the success rate of recognition the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint area of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving fingerprint recognition. Success rate.
  • the mobile terminal when two fingerprint images having the same fingerprint area are acquired, the mobile terminal retains the fingerprint image with higher image quality according to the image quality of the fingerprint image, and deletes the fingerprint image with poor image quality. Thereby the quality of the generated fingerprint template is further improved.
  • the mobile terminal determines whether the candidate fingerprint image set contains sufficient information amount from three dimensions of the number of fingerprint images, the sum of the fingerprint image area, and the sum of the fingerprint image feature points, and stops acquiring the fingerprint when the candidate fingerprint image set contains sufficient information amount.
  • the image is generated to generate a corresponding fingerprint template, thereby ensuring that the generated fingerprint template contains sufficient information amount, and the recognition success rate when using the fingerprint template for fingerprint recognition is improved.
  • the mobile terminal displays corresponding prompt information, prompting the user to input fingerprint images of different fingerprint areas.
  • the above step 204 includes step 211
  • the above step 205 includes step 210.
  • step 210 when the i-th fingerprint image is deleted from the candidate fingerprint image set, the first prompt information is displayed, and the first prompt information is used to indicate that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region.
  • the first i-th fingerprint image added in the candidate fingerprint image set When the first i-th fingerprint image added in the candidate fingerprint image set is deleted, it indicates the j-th entry previously entered.
  • the fingerprint image has covered the fingerprint area indicated by the i-th fingerprint image, and the image effect of the i-th fingerprint image is not as good as the image effect of the j-th fingerprint image.
  • the mobile terminal displays the first prompt information, indicating that the user's i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint area, and prompts the user to enter the fingerprint image of the other fingerprint area.
  • the user enters the second fingerprint image according to the prompt, when the second fingerprint image and the first fingerprint image correspond to the same fingerprint region, and the image quality of the first fingerprint image is better than the second fingerprint.
  • the mobile terminal displays the first prompt information 22 in the fingerprint entry interface 21.
  • step 211 when the jth fingerprint image is deleted from the candidate fingerprint image set, the second prompt information is displayed, and the second prompt information is used to indicate that the jth fingerprint image has been replaced with the ith fingerprint image.
  • the mobile terminal displays the second prompt information, prompting the user to replace the j-th fingerprint image with the ith fingerprint image, and prompting the user to enter the fingerprint image of the other fingerprint region.
  • the user enters the second fingerprint image according to the prompt, when the second fingerprint image and the first fingerprint image correspond to the same fingerprint region, and the image quality of the second fingerprint image is better than the first fingerprint image.
  • the mobile terminal displays the second prompt information 23 in the fingerprint entry interface 21.
  • the mobile terminal may further determine an uncovered fingerprint area according to the fingerprint area corresponding to the fingerprint image, and add information of the fingerprint area to the first prompt information or the second prompt information, thereby further
  • the user's fingerprint entry efficiency is improved, and the disclosure does not limit this.
  • the mobile terminal uses different prompting manners to prompt the user to enter the fingerprint, so that the user can adjust the posture of entering the fingerprint, improve the efficiency of fingerprint input, and ensure that the fingerprint image entered can cover each fingerprint area.
  • the mobile terminal displays corresponding prompt information. Based on the embodiment shown in FIG. 2A, as shown in FIG. 2G, after the above step 204 and step 205, the following steps are further included.
  • step 212 when the number of deleted fingerprint images reaches the fourth threshold, the third prompt information is displayed, and the third prompt information is used to indicate that the fingerprint entry fails.
  • the fourth threshold is 6, that is, when the number of deleted fingerprint images reaches 6
  • the mobile terminal displays the third prompt information 24 in the fingerprint entry interface 21, the user is instructed to fail the entry.
  • the mobile terminal displays the corresponding prompt information, and terminates the fingerprint entry, thereby avoiding waste of processing resources caused by the user intentionally repeatedly inputting the fingerprint image of the same fingerprint area.
  • FIG. 3 is a schematic structural diagram of a fingerprint template generating apparatus provided by an exemplary embodiment.
  • the fingerprint template generating device may be implemented as a whole or a part of an electronic device configured with a fingerprint recognition sensor by using a dedicated hardware circuit or a combination of software and hardware.
  • the fingerprint template generating device includes:
  • the adding module 310 is configured to add, in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint, i ⁇ 2, and i is a natural number;
  • the calculating module 320 is configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j ⁇ i, and j is a natural number;
  • the deleting module 330 is configured to: if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold, delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set;
  • the detecting module 340 is configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold
  • the generating module 350 is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.
  • the fingerprint template generating apparatus calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images.
  • the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; the fingerprint template generated by repeatedly recording the same area is generated by the multiple entry method, and the generated fingerprint template is only applicable to the partial fingerprint area, affecting the fingerprint.
  • the problem of the success rate of recognition; the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint area of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving fingerprint recognition. Success rate.
  • FIG. 4 is a schematic structural diagram of a fingerprint template generating apparatus provided by another exemplary embodiment.
  • the fingerprint template generating device may be implemented as a whole or a part of an electronic device configured with a fingerprint recognition sensor by using a dedicated hardware circuit or a combination of software and hardware.
  • the fingerprint template generating device includes:
  • the adding module 410 is configured to add the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint during the input process of the target fingerprint, i ⁇ 2;
  • the calculating module 420 is configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j ⁇ i;
  • the deleting module 430 is configured to: if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold, delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set;
  • the detecting module 440 is configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold
  • the generating module 450 is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.
  • the deleting module 430 includes:
  • the obtaining submodule 431 is configured to acquire image quality of each of the i-th fingerprint image and the j-th fingerprint image;
  • the first deletion sub-module 432 is configured to delete the j-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image;
  • the second deletion sub-module 433 is configured to delete the i-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image.
  • the obtaining submodule 431 includes:
  • the area obtaining sub-module 431a is configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;
  • the quantity acquisition sub-module 431b is configured to acquire the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;
  • the density calculation sub-module 431c is configured to calculate a feature point density of each of the i-th fingerprint image and the j-th fingerprint image according to the fingerprint image area and the number of fingerprint feature points;
  • the determining sub-module 431d is configured to determine the image quality according to the feature point density, and the feature point density is proportional to the image quality.
  • the detecting module 440 includes:
  • the first detecting sub-module 441 is configured to detect whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, determining that the amount of information included in the candidate fingerprint image set reaches Threshold value
  • the second detecting sub-module 442 is configured to detect whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, then Determining that the amount of information included in the candidate fingerprint image set reaches a threshold;
  • the third detecting sub-module 443 is configured to detect whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining the candidate The amount of information contained in the fingerprint image set reaches the threshold
  • the calculating module 420 includes:
  • the first obtaining submodule 421 is configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;
  • the second obtaining sub-module 422 is configured to acquire the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;
  • the third obtaining submodule 423 is configured to acquire a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;
  • the calculation sub-module 424 is configured to calculate the similarity by weight according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.
  • the device further includes:
  • the first display module 460 is configured to display the first prompt information when the ith fingerprint image is deleted from the candidate fingerprint image set, where the first prompt information is used to indicate that the ith fingerprint image and the jth fingerprint image correspond to the same fingerprint region;
  • the second display module 470 is configured to display the second prompt information when the j-th fingerprint image is deleted from the candidate fingerprint image set, and the second prompt information is used to indicate that the j-th fingerprint image has been replaced with the ith fingerprint image.
  • the device further includes:
  • the third display module 480 is configured to display a third prompt information when the number of deleted fingerprint images reaches a fourth threshold, and the third prompt information is used to indicate that the fingerprint entry fails.
  • the fingerprint template generating apparatus calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images.
  • the degree is greater than the similarity threshold
  • one of the fingerprint images is reserved for generating the fingerprint template; and the fingerprint template for generating the fingerprint image of the same area is repeatedly generated by the multiple entry method, and the fingerprint template is generated.
  • the generated fingerprint template is only applicable to the partial fingerprint area, which affects the success rate of fingerprint recognition; the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint of the target fingerprint.
  • the area ensures the quality of the fingerprint template, thereby improving the success rate of fingerprint recognition.
  • the mobile terminal when two fingerprint images having the same fingerprint area are acquired, the mobile terminal retains the fingerprint image with higher image quality according to the image quality of the fingerprint image, and deletes the fingerprint image with poor image quality. Thereby the quality of the generated fingerprint template is further improved.
  • the mobile terminal determines whether the candidate fingerprint image set contains sufficient information amount from three dimensions of the number of fingerprint images, the sum of the fingerprint image area, and the sum of the fingerprint image feature points, and stops acquiring the fingerprint when the candidate fingerprint image set contains sufficient information amount.
  • the image is generated to generate a corresponding fingerprint template, thereby ensuring that the generated fingerprint template contains sufficient information amount, and the recognition success rate when using the fingerprint template for fingerprint recognition is improved.
  • the mobile terminal uses different prompting manners to prompt the user to enter the fingerprint, so that the user can adjust the posture of entering the fingerprint, improve the efficiency of fingerprint input, and ensure that the fingerprint image entered can cover each fingerprint area.
  • the mobile terminal displays the corresponding prompt information, and terminates the fingerprint entry, thereby avoiding waste of processing resources caused by the user intentionally repeatedly inputting the fingerprint image of the same fingerprint area.
  • FIG. 5 is a block diagram of a mobile terminal, according to an exemplary embodiment.
  • the mobile terminal 500 may be a smartphone, a tablet, an e-book reader, or a personal computer or the like configured with a fingerprint recognition sensor.
  • the mobile terminal 500 can include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input/output (I/O) interface 512, and a sensor component 514, And a communication component 516.
  • Processing component 502 typically controls the overall operations of mobile terminal 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 502 can include one or more processors 518 to execute instructions to perform all or part of the steps described above.
  • the component 502 can include one or more modules to facilitate interaction between the component 502 and other components.
  • processing component 502 can include a multimedia module to facilitate interaction between multimedia component 508 and processing component 502.
  • the memory 504 is configured to store various types of data to support operation at the mobile terminal 500. Examples of such data include instructions for any application or method operating on the mobile terminal 500, contact data, phone book data, messages, pictures, videos, and the like.
  • the memory 504 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • Power component 506 provides power to various components of mobile terminal 500.
  • Power component 506 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for mobile terminal 500.
  • the multimedia component 508 includes a screen that provides an output interface between the mobile terminal 500 and the user.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor can sense not only the boundaries of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 508 includes a front camera and/or a rear camera. When the mobile terminal 500 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 510 is configured to output and/or input an audio signal.
  • the audio component 510 includes a microphone (MIC) that is configured to receive an external audio signal when the mobile terminal 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 504 or transmitted via communication component 516.
  • audio component 510 also includes a speaker for outputting an audio signal.
  • the I/O interface 512 provides an interface between the processing component 502 and the peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor component 514 includes one or more sensors for providing various aspects of state assessment for mobile terminal 500.
  • sensor component 514 can detect an open/closed state of mobile terminal 500, relative positioning of components, such as a display and keypad of mobile terminal 500, and sensor component 514 can also detect a component of mobile terminal 500 or mobile terminal 500. The location changes, the presence or absence of contact of the user with the mobile terminal 500, the orientation or acceleration/deceleration of the mobile terminal 500, and the temperature change of the mobile terminal 500.
  • Sensor assembly 514 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 514 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • the sensor component 514 includes a fingerprint recognition sensor, which is a push-type fingerprint sensor or a sliding fingerprint recognition sensor (integrated in a button) for collecting a fingerprint image of the user.
  • Communication component 516 is configured to facilitate wired or wireless communication between mobile terminal 500 and other devices.
  • the mobile terminal 500 can access a wireless network based on a communication standard such as Wi-Fi, 2G or 3G, or a combination thereof.
  • communication component 516 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • communication component 516 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • mobile terminal 500 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), A program gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the above information receiving method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA program gate array
  • controller microcontroller, microprocessor or other electronic component implementation for performing the above information receiving method.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 504 comprising instructions executable by processor 518 of mobile terminal 500 to perform the fingerprint template generation method described above.
  • the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)

Abstract

La présente invention concerne un procédé et un appareil de génération de modèle d'empreinte digitale, se rapportant au domaine de la reconnaissance d'empreinte digitale. Le procédé consiste : au cours d'un processus d'entrée d'une empreinte digitale cible, à ajouter une i-ième image d'empreinte digitale collectée par un capteur de reconnaissance d'empreinte digitale à un ensemble d'images d'empreinte digitale candidat correspondant à l'empreinte digitale cible, où i ≥ 2 (101); à calculer la similarité entre l'i-ième image d'empreinte digitale et une j-ième image d'empreinte digitale dans l'ensemble d'images d'empreinte digitale candidat, où j ＜ i (103); si la similarité entre l'i-ème image d'empreinte digitale et la j-ième image d'empreinte digitale est supérieure à une valeur seuil de similarité, à supprimer l'i-ème image d'empreinte digitale ou la j-ième image d'empreinte digitale de l'ensemble d'images d'empreinte digitale candidat (105); à détecter si la quantité d'informations contenues dans l'ensemble d'images d'empreinte digitale candidat atteint ou non une valeur seuil (107); et lorsque la quantité d'informations contenues dans l'ensemble d'images d'empreinte digitale candidat atteint la valeur seuil, à générer un modèle d'empreinte digitale selon diverses images d'empreinte digitale dans l'ensemble d'images d'empreinte digitale candidat (109). Les problèmes dans l'état de la technique associé dans lesquels un modèle d'empreinte digitale généré est uniquement approprié pour des régions d'empreinte digitale partielles et où le taux de succès de reconnaissance d'empreinte digitale est affecté sont résolus.
PCT/CN2016/085546 2016-06-13 2016-06-13 Procédé et appareil de génération de modèle d'empreinte digitale WO2017214793A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201680000734.7A CN106104575B (zh) 2016-06-13 2016-06-13 指纹模板生成方法及装置
PCT/CN2016/085546 WO2017214793A1 (fr) 2016-06-13 2016-06-13 Procédé et appareil de génération de modèle d'empreinte digitale

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/085546 WO2017214793A1 (fr) 2016-06-13 2016-06-13 Procédé et appareil de génération de modèle d'empreinte digitale

Publications (1)

Publication Number Publication Date
WO2017214793A1 true WO2017214793A1 (fr) 2017-12-21

Family

ID=57224312

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2016/085546 WO2017214793A1 (fr) 2016-06-13 2016-06-13 Procédé et appareil de génération de modèle d'empreinte digitale

Country Status (2)

Country Link
CN (1) CN106104575B (fr)
WO (1) WO2017214793A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543570A (zh) * 2018-11-06 2019-03-29 Oppo广东移动通信有限公司 指纹识别方法及相关产品

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018093314A1 (fr) * 2016-11-15 2018-05-24 Fingerprint Cards Ab Procédé et dispositif électronique d'enregistrement d'empreintes digitales
CN106557755B (zh) * 2016-11-24 2021-05-04 北京小米移动软件有限公司 指纹模板获取方法及装置
SE1750155A1 (sv) * 2017-02-17 2018-08-18 Fingerprint Cards Ab Enabling identification of fingerprints from captured imagesusing contour points
CN107423594B (zh) * 2017-03-08 2019-05-21 Oppo广东移动通信有限公司 一种指纹支付方法及终端设备
CN107194326A (zh) * 2017-04-28 2017-09-22 广东欧珀移动通信有限公司 指纹采集方法及相关产品
CN107330388B (zh) * 2017-06-21 2020-12-22 海信视像科技股份有限公司 指纹识别处理方法及终端
CN109947965B (zh) * 2017-09-04 2023-09-05 阿里巴巴集团控股有限公司 对象识别、数据集合的更新、数据处理方法与装置
CN107977600B (zh) * 2017-09-11 2020-04-10 江苏国光信息产业股份有限公司 一种基于侧掌特征的签名鉴伪方法
CN108509944B (zh) * 2018-06-25 2022-04-29 北京小米移动软件有限公司 指纹识别方法及装置
CN110688514A (zh) * 2019-08-30 2020-01-14 中国人民财产保险股份有限公司 一种保险理赔图像数据的查重方法及装置
CN110717429B (zh) * 2019-09-27 2023-02-21 联想(北京)有限公司 一种信息处理方法、电子设备及计算机可读存储介质
CN110945563A (zh) * 2019-11-08 2020-03-31 长江存储科技有限责任公司 用于提高产出率的自动评估方法及其评估系统
CN111796683A (zh) * 2020-07-10 2020-10-20 敦泰电子（深圳）有限公司 一种基于窄边生物传感器的特征录入方法及相关装置
TW202215289A (zh) * 2020-10-14 2022-04-16 王建華 用於指紋圖像識別的方法、設備及計算機可讀介質
CN113077508A (zh) * 2021-03-30 2021-07-06 深圳市墨者安全科技有限公司 一种图像相似度匹配方法及装置
CN116258842B (zh) * 2023-05-16 2023-07-25 上海海栎创科技股份有限公司 指纹模板动态拼接优选系统及方法

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101086766A (zh) * 2007-06-04 2007-12-12 北京航空航天大学 基于波形匹配的指纹图像帧序列的拼接方法
US20090046904A1 (en) * 2007-08-13 2009-02-19 Electronics & Telecommunications Research Institute Fingerprint recognition apparatus and method
CN102708360A (zh) * 2012-05-09 2012-10-03 深圳市亚略特生物识别科技有限公司 一种指纹模板生成及自动更新的方法
CN103150260A (zh) * 2011-11-25 2013-06-12 华为数字技术（成都）有限公司 重复数据删除方法和装置
CN105447436A (zh) * 2014-12-19 2016-03-30 比亚迪股份有限公司 指纹识别系统及指纹识别方法及电子设备
CN105528576A (zh) * 2015-12-02 2016-04-27 广东欧珀移动通信有限公司 一种录入指纹的方法及装置

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101233529A (zh) * 2003-12-16 2008-07-30 摩托罗拉公司 生物统计图像注册与鉴权的方法和设备
US20070248249A1 (en) * 2006-04-20 2007-10-25 Bioscrypt Inc. Fingerprint identification system for access control
CN105389564B (zh) * 2015-11-13 2019-05-10 Oppo广东移动通信有限公司 指纹注册方法、装置及移动终端
CN105373786A (zh) * 2015-11-30 2016-03-02 东莞酷派软件技术有限公司 一种指纹采集方法、装置及电子设备

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101086766A (zh) * 2007-06-04 2007-12-12 北京航空航天大学 基于波形匹配的指纹图像帧序列的拼接方法
US20090046904A1 (en) * 2007-08-13 2009-02-19 Electronics & Telecommunications Research Institute Fingerprint recognition apparatus and method
CN103150260A (zh) * 2011-11-25 2013-06-12 华为数字技术（成都）有限公司 重复数据删除方法和装置
CN102708360A (zh) * 2012-05-09 2012-10-03 深圳市亚略特生物识别科技有限公司 一种指纹模板生成及自动更新的方法
CN105447436A (zh) * 2014-12-19 2016-03-30 比亚迪股份有限公司 指纹识别系统及指纹识别方法及电子设备
CN105528576A (zh) * 2015-12-02 2016-04-27 广东欧珀移动通信有限公司 一种录入指纹的方法及装置

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543570A (zh) * 2018-11-06 2019-03-29 Oppo广东移动通信有限公司 指纹识别方法及相关产品
CN109543570B (zh) * 2018-11-06 2023-04-18 Oppo广东移动通信有限公司 指纹识别方法及相关产品

Also Published As

Publication number Publication date
CN106104575B (zh) 2019-09-17
CN106104575A (zh) 2016-11-09

Similar Documents

Publication Publication Date Title
WO2017214793A1 (fr) Procédé et appareil de génération de modèle d'empreinte digitale
US10452890B2 (en) Fingerprint template input method, device and medium
WO2021031609A1 (fr) Procédé et dispositif de détection de corps vivant, appareil électronique et support de stockage
CN107944447B (zh) 图像分类方法及装置
CN106934320B (zh) 指纹识别方法及装置
US20150332439A1 (en) Methods and devices for hiding privacy information
RU2679568C1 (ru) Способ и устройство распознавания отпечатков пальцев
RU2664003C2 (ru) Способ и устройство для определения ассоциированного пользователя
JP6431911B2 (ja) 閾値を設定するための方法及び装置
CN106557755B (zh) 指纹模板获取方法及装置
JP6391708B2 (ja) 虹彩画像を取得する方法および装置、ならびに虹彩識別機器
CN109034150B (zh) 图像处理方法及装置
CN111695382A (zh) 指纹采集区域确定方法和指纹采集区域确定装置
CN106126082B (zh) 控制终端的方法、装置及终端
CN107643818B (zh) 功能开启方法及装置
WO2017140109A1 (fr) Procédé et appareil de détection de pression
CN105208284B (zh) 拍摄提醒方法及装置
CN104636453A (zh) 非法用户资料识别方法及装置
US20160350584A1 (en) Method and apparatus for providing contact card
CN105894042A (zh) 检测证件图像遮挡的方法和装置
CN105335714A (zh) 照片处理方法、装置和设备
CN107133551B (zh) 指纹验证方法及装置
CN107301404B (zh) 指纹录入方法及装置
US20170372111A1 (en) Method and device for fingerprint verification
CN106897876B (zh) 终端支付处理方法和装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 16904912

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16904912

Country of ref document: EP

Kind code of ref document: A1