WO2017067290A1 - 指纹录入方法、装置及终端设备 - Google Patents

指纹录入方法、装置及终端设备 Download PDF

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Publication number
WO2017067290A1
WO2017067290A1 PCT/CN2016/093749 CN2016093749W WO2017067290A1 WO 2017067290 A1 WO2017067290 A1 WO 2017067290A1 CN 2016093749 W CN2016093749 W CN 2016093749W WO 2017067290 A1 WO2017067290 A1 WO 2017067290A1
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WIPO (PCT)
Prior art keywords
fingerprint
image
image quality
user
fingerprint image
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PCT/CN2016/093749
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English (en)
French (fr)
Inventor
张强
王立中
周海涛
蒋奎
贺威
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广东欧珀移动通信有限公司
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Application filed by 广东欧珀移动通信有限公司 filed Critical 广东欧珀移动通信有限公司
Priority to EP16856725.3A priority Critical patent/EP3327613A4/en
Publication of WO2017067290A1 publication Critical patent/WO2017067290A1/zh
Priority to US15/934,316 priority patent/US10628694B2/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • 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
    • G06V40/50—Maintenance of biometric data or enrolment thereof

Definitions

  • Embodiments of the present invention relate to the field of fingerprint identification technologies, and in particular, to a fingerprint entry method, device, and terminal device.
  • fingerprint recognition is increasingly used in business and people's daily lives. Among them, how to input high-quality fingerprint images becomes an important issue to improve the success rate of fingerprint recognition.
  • a fingerprint image is usually input to the same finger multiple times, and then the image quality of each fingerprint image is calculated, and the fingerprint image whose image quality exceeds a preset threshold is placed in the fingerprint database for subsequent fingerprint recognition. .
  • an embodiment of the present invention provides a fingerprint entry method, including:
  • the current fingerprint image is entered into the fingerprint database.
  • the embodiment of the present invention further provides a fingerprint input device, including:
  • a fingerprint quality determining module configured to determine, according to an image quality of a current fingerprint image of the currently collected user and an image quality of the historical fingerprint image of the user collected historically, whether the fluctuation range of the image quality of the fingerprint image of the user exceeds a pre-predetermined Set the image quality fluctuation threshold or the image quality fluctuation threshold range;
  • the fingerprint entry module is configured to record the current fingerprint image into the fingerprint database after the fingerprint quality determining module determines that the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range.
  • the embodiment of the present invention further provides a terminal device, including:
  • a processor coupled to the memory
  • the processor calls the executable program code stored in the memory, and executes an operation instruction: according to an image quality of a current fingerprint image of a currently collected user and an image quality of a historical fingerprint image of the user collected by history, Determining whether a fluctuation amplitude of an image quality of the fingerprint image of the user exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range;
  • the current fingerprint image is entered into the fingerprint database.
  • the embodiment of the invention provides a fingerprint input method, device and terminal device, so as to realize the fingerprint image of the user whose fingerprint is not clear, and the image quality of the fingerprint image of the normal finger recorded in the database is ensured.
  • FIG. 1 is a schematic flowchart of a fingerprint input method according to Embodiment 1 of the present invention.
  • FIG. 2 is a schematic flowchart of a fingerprint input method according to Embodiment 2 of the present invention.
  • FIG. 3 is a schematic structural diagram of a fingerprint input apparatus according to Embodiment 3 of the present invention.
  • the present invention provides a fingerprint entry method, including: determining image quality of a fingerprint image of the user according to an image quality of a current fingerprint image of a currently collected user and an image quality of a historical fingerprint image of the user collected historically. Whether the fluctuation amplitude exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range; if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the fluctuation range of the image quality of the fingerprint image of the user is the difference between the image quality of the current fingerprint image and the minimum value of the image quality in the image quality of the historical fingerprint image and the minimum value of the image quality.
  • the method further includes: if the fluctuation amplitude of the image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or the image quality fluctuation threshold range, returning an operation of collecting a current fingerprint image of the user.
  • the method further includes: determining whether the total number of fingerprint images of the user entered in the fingerprint database exceeds a preset value; if yes, ending the entry, If not, return to the operation of collecting the current fingerprint image of the user.
  • the image quality is a grayscale average or a grayscale mean variance corresponding to the fingerprint image.
  • the method before the recording the current fingerprint image into the fingerprint database, the method further includes: capturing an image capture threshold in the fingerprint data; setting the image capture threshold to a preset value.
  • the historical fingerprint image of the user collected by the history refers to a fingerprint image collected before the current fingerprint image of the user is currently collected, and may include multiple fingerprint images.
  • the present invention also provides a fingerprint entry device, comprising: a fingerprint quality determining module, configured to determine the image quality according to an image quality of a current fingerprint image of a user currently collected and an image quality of a historical fingerprint image of the user collected historically Whether the fluctuation amplitude of the image quality of the fingerprint image of the user exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range; the fingerprint entry module is configured to determine, in the fingerprint quality determination module, that the fluctuation amplitude does not exceed the image quality fluctuation threshold Or after the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • a fingerprint quality determining module configured to determine the image quality according to an image quality of a current fingerprint image of a user currently collected and an image quality of a historical fingerprint image of the user collected historically Whether the fluctuation amplitude of the image quality of the fingerprint image of the user exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range
  • the fingerprint entry module is configured to determine, in the fingerprint quality determination module
  • the fluctuation range of the image quality of the fingerprint image of the user is the difference between the image quality of the current fingerprint image and the minimum value of the image quality in the image quality of the historical fingerprint image and the minimum value of the image quality.
  • the apparatus further includes: a first returning module, configured to determine, in the fingerprint quality determining module, that a fluctuation amplitude of an image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or image quality After the fluctuation threshold range, the operation of collecting the current fingerprint image of the user is returned.
  • a first returning module configured to determine, in the fingerprint quality determining module, that a fluctuation amplitude of an image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or image quality After the fluctuation threshold range, the operation of collecting the current fingerprint image of the user is returned.
  • the device further includes: an input image statistics module, configured to determine, after the fingerprint entry module records the current fingerprint image into the fingerprint database, the fingerprint image of the user entered in the fingerprint database Whether the total number exceeds a preset value; the end module is configured to end the entry after the total number of fingerprint images of the user in the fingerprint database entered by the input image statistics module exceeds a preset value; and the second return module is configured to: After the input image statistics module determines that the total number of fingerprint images of the user in the fingerprint database does not exceed a preset value, the operation of collecting the current fingerprint image of the user is returned.
  • an input image statistics module configured to determine, after the fingerprint entry module records the current fingerprint image into the fingerprint database, the fingerprint image of the user entered in the fingerprint database Whether the total number exceeds a preset value
  • the end module is configured to end the entry after the total number of fingerprint images of the user in the fingerprint database entered by the input image statistics module exceeds a preset value
  • the second return module is configured to: After the input image statistics module determines that the
  • the image quality is a grayscale average or a grayscale mean variance corresponding to the fingerprint image.
  • the historical fingerprint image of the user collected by the history refers to a fingerprint image collected before the current fingerprint image of the user is currently collected, and may include multiple fingerprint images.
  • the present invention also provides a terminal device comprising: a memory storing executable program code; a processor coupled to the memory; the processor invoking the executable program code stored in the memory, performing the following
  • the operation instruction is: determining, according to the image quality of the currently collected user's current fingerprint image and the historically acquired image quality of the user's historical fingerprint image, whether the fluctuation range of the image quality of the user's fingerprint image exceeds a preset image quality.
  • the fluctuation threshold or the image quality fluctuation threshold range if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the fluctuation range of the image quality of the fingerprint image of the user is the difference between the image quality of the current fingerprint image and the minimum value of the image quality in the image quality of the historical fingerprint image and the minimum value of the image quality.
  • the executing the operation instruction further includes: if the fluctuation range of the image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or the image quality fluctuation threshold range, returning an operation of collecting a current fingerprint image of the user.
  • an operation instruction is further executed to: determine whether the total number of fingerprint images of the user in the fingerprint database exceeds a preset value; if yes, End the entry, if not, return to the operation of collecting the user's current fingerprint image.
  • the following operation instruction is further executed: preset an image collection threshold in the fingerprint data; and set the image collection threshold to a preset value.
  • the image quality is a grayscale average or a grayscale mean variance corresponding to the fingerprint image.
  • the historical fingerprint image of the user collected by the history refers to a fingerprint image collected before the current fingerprint image of the user is currently collected, and may include multiple fingerprint images.
  • the execution body of the fingerprint input method provided by the embodiment of the present invention may be a fingerprint input device provided by an embodiment of the present invention, or a terminal device (for example, a smart phone, a tablet computer, etc.) integrated with the fingerprint input device, and the fingerprint input
  • a terminal device for example, a smart phone, a tablet computer, etc.
  • the device can be implemented in hardware or software.
  • FIG. 1 is a schematic flowchart of a fingerprint input method according to Embodiment 1 of the present invention. As shown in FIG. 1 , the method includes the following steps:
  • Step 11 Determine, according to the image quality of the currently collected user's current fingerprint image and the historically acquired image quality of the user's historical fingerprint image, whether the image quality of the fingerprint image of the user exceeds a preset image quality.
  • a threshold of fluctuation threshold or image quality fluctuation threshold is a threshold of fluctuation threshold or image quality fluctuation threshold.
  • the historical fingerprint image of the user collected by the history refers to a fingerprint image collected before the current fingerprint image of the user is currently collected, and may include multiple fingerprint images.
  • the preset image quality fluctuation threshold is a specific value
  • the image quality fluctuation threshold range is a numerical range.
  • the image quality of the current fingerprint image and the image quality of the historical fingerprint image are respectively calculated, and according to the calculated image quality, it is determined whether the fluctuation amplitude of the image quality exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range.
  • Step 12 If the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, it indicates that the image quality of the currently collected user's current fingerprint image is different from the historically collected historical fingerprint image. Large, can be used for fingerprint recognition, so the current fingerprint image is entered into the fingerprint database.
  • whether the fluctuation range of the image quality of the fingerprint image of the user exceeds a preset image is determined according to the image quality of the current fingerprint image of the currently collected user and the image quality of the historical fingerprint image of the user.
  • the quality fluctuation threshold or the image quality fluctuation threshold range if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the fingerprint image of the user whose fingerprint texture is unclear can be recorded, and the image quality of the fingerprint image of the normal finger recorded in the database is ensured.
  • the fluctuation range of the image quality of the fingerprint image of the user is the maximum value of the image quality and the minimum image quality in the image quality of the current fingerprint image and the image quality of the historical fingerprint image. Difference.
  • the method further includes:
  • the operation of collecting the current fingerprint image of the user is returned.
  • the fluctuation range of the image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or the image quality fluctuation threshold range, it indicates that the image quality of the currently input fingerprint image has a large fluctuation range, which may be The fingerprint image acquired during the collection due to irregular operation, therefore, the currently input fingerprint image is not entered into the fingerprint database, and the operation of collecting the current fingerprint image of the user is returned, and the acquisition is performed again.
  • the method further includes:
  • the preset value can be customized, for example, it can be set to 3, 5 or 10, and the like.
  • the image quality is a gray average value or a gray average variance corresponding to the fingerprint image.
  • the foregoing embodiments also determine whether the fluctuation range of the image quality of the fingerprint image of the user exceeds a preset according to the image quality of the current fingerprint image of the user currently collected and the image quality of the historical fingerprint image of the user.
  • the image quality fluctuation threshold or the image quality fluctuation threshold range if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the above embodiments can also input the fingerprint image of the user whose fingerprint is not clear, and ensure the image quality of the fingerprint image of the normal finger recorded in the database.
  • FIG. 2 is a schematic flowchart of a fingerprint input method according to Embodiment 2 of the present invention. This embodiment is a preferred embodiment for illustrating the technical solution provided by the present invention. As shown in FIG. 2, the method includes the following steps:
  • Step 21 Collect a fingerprint image currently input by the user.
  • Step 22 Calculate the image quality of the currently acquired fingerprint image and the image quality of the historical fingerprint image of the user collected historically.
  • step 23 the image quality of the current fingerprint image and the image quality of the historical fingerprint image are selected as the maximum value of the image quality and the minimum value of the image quality.
  • step 24 the difference between the maximum value of the image quality and the minimum value of the image quality is calculated.
  • Step 25 Determine whether the difference exceeds a preset image quality fluctuation threshold or an image quality fluctuation threshold range.
  • step 26 is performed; if the difference exceeds the image quality fluctuation threshold or the image quality fluctuation threshold range, then step 21 is performed.
  • Step 26 Enter the current fingerprint image into the fingerprint database, and perform step 27.
  • Step 27 Determine whether the total number of fingerprint images of the user entered in the fingerprint database exceeds a preset value.
  • step 28 is performed; if the total number of fingerprint images of the user does not exceed the preset value, then step 21 is performed.
  • step 28 the entry is ended.
  • whether the fluctuation range of the image quality of the fingerprint image of the user exceeds a preset image is determined according to the image quality of the current fingerprint image of the currently collected user and the image quality of the historical fingerprint image of the user.
  • the quality fluctuation threshold or the image quality fluctuation threshold range if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the fingerprint image of the user whose fingerprint texture is unclear can be recorded, and the image quality of the fingerprint image of the normal finger recorded in the database is ensured.
  • FIG. 3 is a schematic structural diagram of a fingerprint input device according to Embodiment 3 of the present invention. As shown in FIG. 3, the method further includes: a fingerprint quality determining module 31 and a fingerprint input module 32.
  • the fingerprint quality determining module 31 is configured to determine a fluctuation range of the image quality of the fingerprint image of the user according to the image quality of the current fingerprint image of the user currently collected and the image quality of the historical fingerprint image of the user collected historically. Whether the preset image quality fluctuation threshold or the image quality fluctuation threshold range is exceeded.
  • the fingerprint entry module 32 is configured to record the current fingerprint image into the fingerprint database after the fingerprint quality determining module 31 determines that the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range.
  • the fingerprint entry device of the embodiment is also used to perform the fingerprint entry method described in the above embodiments.
  • the technical principle and the generated technical effects are similar, and are not described here.
  • the fluctuation range of the image quality of the fingerprint image of the user is the maximum value of the image quality and the minimum image quality in the image quality of the current fingerprint image and the image quality of the historical fingerprint image. Difference.
  • the device further includes: a first return module 33.
  • the first returning module 33 is configured to return to the current collection user after the fingerprint quality determining module 31 determines that the fluctuation range of the image quality of the fingerprint image of the user exceeds the image quality fluctuation threshold or the image quality fluctuation threshold range The operation of the fingerprint image.
  • the device further includes: an input image statistics module 34, an end module 35, and a second return module 36.
  • the entry image statistics module 34 is configured to determine whether the total number of fingerprint images of the user entered in the fingerprint database exceeds a preset value after the fingerprint entry module 32 records the current fingerprint image into the fingerprint database.
  • the ending module 35 is configured to end the entry after the input image statistics module 34 determines that the total number of fingerprint images of the user in the fingerprint database exceeds a preset value.
  • the second returning module 36 is configured to, after the input image statistics module 34 determines that the total number of fingerprint images of the user in the fingerprint database does not exceed a preset value, return an operation of collecting a current fingerprint image of the user.
  • the image quality is a gray average value or a gray average variance corresponding to the fingerprint image.
  • the fingerprint entry device described in the above embodiments is also used to perform the fingerprint entry method described in the above embodiments.
  • the technical principle and the generated technical effects are similar, and are not described here.
  • the terminal device described in the present invention comprises: at least one input device; at least one output device; at least one processor, such as a central processing unit (CPU, Central) Processing Unit); and a memory, the above input device, output device, processor, and memory are connected by a bus.
  • processor such as a central processing unit (CPU, Central) Processing Unit
  • memory the above input device, output device, processor, and memory are connected by a bus.
  • the input device may be a fingerprint input module, a physical button, a mouse, or the like.
  • the above output device may specifically be a display screen.
  • the above memory may be a high speed RAM memory or a non-volatile memory (non-volatile) Memory), such as disk storage.
  • the above memory is used for storing a set of program codes, and the input device, the output device and the processor are used to call the program code stored in the memory, and perform the following operations:
  • the image quality fluctuation threshold or the image quality fluctuation threshold range is a preset value
  • the code is executed by the processor, and if the fluctuation amplitude does not exceed the image quality fluctuation threshold or the image quality fluctuation threshold range, the current fingerprint image is entered into the fingerprint database.
  • the terminal device can perform any of the fingerprint input methods provided by the embodiments of the present invention
  • the beneficial effects that can be achieved by any of the fingerprint input methods provided by the embodiments of the present invention can be implemented. For details, refer to the previous embodiment. This will not be repeated here.

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Abstract

一种指纹录入方法、装置及终端设备，包括：根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若未超过，则将所述当前指纹图像录入指纹数据库中。

Description

指纹录入方法、装置及终端设备
本申请要求于2015年10月19日提交中国专利局、申请号为201510681089.7、发明名称为“指纹录入方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明实施例涉及指纹识别技术领域，尤其涉及一种指纹录入方法、装置及终端设备。
 背景技术
随着生物识别技术的快速发展，指纹识别越来越多地应用于商务及人们的日常生活中。其中，如何录入高质量的指纹图像成为提高指纹识别成功率的重要问题。
在现有技术中，通常对同一手指多次录入指纹图像，然后计算每次录入的指纹图像的图像质量，将图像质量超过预设阈值的指纹图像放入指纹数据库中，用于后续的指纹识别。
 技术问题
但是，有些人的手指本身纹路不太明显，通过上述方法采集到的指纹图像的图像质量就比较低，达不到上述预设阈值，从而导致这些人的指纹无法录入指纹数据库中。如果降低上述预设阈值，这些人的指纹可能会被录入指纹数据库中，但是也会导致大量低质量的指纹图像被录入指纹数据库中，从而导致较高的拒真率和认假率。
技术解决方案
第一方面，本发明实施例提供了一种指纹录入方法，包括：
根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
第二方面，本发明实施例还提供一种指纹录入装置，包括：
指纹质量确定模块，用于根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
指纹录入模块，用于在所述指纹质量确定模块确定波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围后，将所述当前指纹图像录入指纹数据库中。
第三方面，本发明实施例还提供一种终端设备，包括：
存储有可执行程序代码的存储器；
与所述存储器耦合的处理器；
所述处理器调用所述存储器中存储的所述可执行程序代码，执行如下操作指令：根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
 有益效果
本发明实施例提供一种指纹录入方法、装置及终端设备，以实现录入指纹纹路不清晰的用户的指纹图像，并且保证了录入数据库中的正常手指的指纹图像的图像质量。
 附图说明
图1为本发明实施例一提供的指纹录入方法的流程示意图；
图2为本发明实施例二提供的指纹录入方法的流程示意图；
图3为本发明实施例三提供的指纹录入装置的结构示意图。
 本发明的最佳实施方式
下面结合附图和实施例对本发明作进一步的详细说明。可以理解的是，此处所描述的具体实施例仅仅用于解释本发明，而非对本发明的限定。另外还需要说明的是，为了便于描述，附图中仅示出了与本发明相关的部分而非全部结构。
本发明提供一种指纹录入方法，其包括：根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
在一实施方式中，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
在一实施方式中，其中还包括：若所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围，则返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述将所述当前指纹图像录入指纹数据库中之后，还包括：确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；若是，则结束录入，若否，则返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
在一实施方式中，其中所述将所述当前指纹图像录入指纹数据库中之前，还包括：预设指纹数据中的图像采集阈值；将所述图像采集阈值设为预设数值。
在一实施方式中，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
本发明还提供一种指纹录入装置，其包括：指纹质量确定模块，用于根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；指纹录入模块，用于在所述指纹质量确定模块确定波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围后，将所述当前指纹图像录入指纹数据库中。
在一实施方式中，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
在一实施方式中，其中所述装置还包括：第一返回模块，用于在所述指纹质量确定模块确定所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围后，返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述装置还包括：录入图像统计模块，用于在所述指纹录入模块将所述当前指纹图像录入指纹数据库中之后，确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；结束模块，用于在所述录入图像统计模块确定录入指纹数据库中的所述用户的指纹图像的总数超过预设数值后，结束录入；第二返回模块，用于在所述录入图像统计模块确定录入指纹数据库中的所述用户的指纹图像的总数未超过预设数值后，返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
在一实施方式中，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
本发明还提供一种终端设备，其包括：存储有可执行程序代码的存储器；与所述存储器耦合的处理器；所述处理器调用所述存储器中存储的所述可执行程序代码，执行如下操作指令：根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
在一实施方式中，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
在一实施方式中，其中执行操作指令还包括：若所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围，则返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述将所述当前指纹图像录入指纹数据库中之后，还执行如下操作指令：确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；若是，则结束录入，若否，则返回采集用户当前指纹图像的操作。
在一实施方式中，其中所述将所述当前指纹图像录入指纹数据库中之前，还执行如下操作指令：预设指纹数据中的图像采集阈值；将所述图像采集阈值设为预设数值。
在一实施方式中，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
在一实施方式中，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
本发明实施例提供的指纹录入方法的执行主体，可为本发明实施例提供的指纹录入装置，或者集成了所述指纹录入装置的终端设备（例如，智能手机、平板电脑等），该指纹录入装置可以采用硬件或软件的方式实现。
实施例一
图1为本发明实施例一提供的指纹录入方法的流程示意图，如图1所示，具体包括如下步骤：
步骤11，根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围。
其中，所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。其中，预设的图像质量波动阈值为一个具体数值，所述图像质量波动阈值范围为一个数值范围。
具体的，分别计算当前指纹图像的图像质量和历史指纹图像的图像质量，根据计算的图像质量，确定图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围。
步骤12，若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
具体的，若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则说明当前采集的所述用户的当前指纹图像的图像质量与历史采集的历史指纹图像的图像质量相差不大，可用于进行指纹识别，因此将所述当前指纹图像录入指纹数据库中。
本实施例通过根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。对于指纹纹路不清晰的用户来说，只要保证多次采集的指纹图像的图像质量的波动幅度未超过预设的图像质量波动阈值或图像质量波动阈值范围，即可将其录入指纹库中，因此，本实施例能够录入指纹纹路不清晰的用户的指纹图像，并且保证了录入数据库中的正常手指的指纹图像的图像质量。
示例性的，在上述实施例的基础上，所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
示例性的，在上述实施例的基础上，所述方法还包括：
若所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围，则返回采集用户当前指纹图像的操作。
具体的，当所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围时，则说明当前录入的指纹图像的图像质量的波动幅度较大，可能是在采集时由于不规范操作而采集得到的指纹图像，因此，不将当前录入的指纹图像录入指纹数据库中，返回采集用户当前指纹图像的操作，进行重新采集。
示例性的，在上述实施例的基础上，将所述当前指纹图像录入指纹数据库中之后，还包括：
确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值。
若是，则结束录入，若否，则返回采集用户当前指纹图像的操作。
其中，预设数值可自定义设置，例如可设为3、5或10等。当指纹数据库中已录入的该用户的指纹图像达到所述预设数值时，则结束录入，当已录入的该用户的指纹图像为超过所述预设数值时，则返回采集用户当前指纹图像的操作，继续录入。
示例性的，在上述实施例的基础上，所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
上述各实施例同样通过根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。对于指纹纹路不清晰的用户来说，只要保证多次采集的指纹图像的图像质量的波动幅度未超过预设的图像质量波动阈值或图像质量波动阈值范围，即可将其录入指纹库中，因此，上述各实施例同样能够录入指纹纹路不清晰的用户的指纹图像，并且保证了录入数据库中的正常手指的指纹图像的图像质量。
实施例二
图2为本发明实施例二提供的指纹录入方法的流程示意图，本实施例为一优选实施例，用来详细说明本发明提供的技术方案，如图2所示，具体包括如下步骤：
步骤21，采集用户当前输入的指纹图像。
步骤22，计算当前采集的指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量。
步骤23，选取当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值。
步骤24，计算图像质量的最大值与图像质量的最小值之差。
步骤25，确定差值是否超过预设的图像质量波动阈值或图像质量波动阈值范围。
若所述差值未超过所述图像质量波动阈值或图像质量波动阈值范围，则执行步骤26；若所述差值超过所述图像质量波动阈值或图像质量波动阈值范围，则返回执行步骤21。
步骤26，将所述当前指纹图像录入指纹数据库中，执行步骤27。
步骤27，确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值。
若所述用户的指纹图像的总数超过预设数值，则执行步骤28；若所述用户的指纹图像的总数未超过预设数值，则返回执行步骤21。
步骤28，结束录入。
本实施例通过根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。对于指纹纹路不清晰的用户来说，只要保证多次采集的指纹图像的图像质量的波动幅度未超过预设的图像质量波动阈值或图像质量波动阈值范围，即可将其录入指纹库中，因此，本实施例能够录入指纹纹路不清晰的用户的指纹图像，并且保证了录入数据库中的正常手指的指纹图像的图像质量。
实施例三
图3为本发明实施例三提供的指纹录入装置的结构示意图，如图3所示，具体包括：指纹质量确定模块31和指纹录入模块32。
所述指纹质量确定模块31，用于根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围。
所述指纹录入模块32，用于在所述指纹质量确定模块31确定波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围后，将所述当前指纹图像录入指纹数据库中。
本实施例所述的指纹录入装置同样用于执行上述各实施例所述的指纹录入方法，其技术原理和产生的技术效果类似，这里不再累述。
示例性的，在上述实施例的基础上，所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
示例性的，在上述实施例的基础上，所述装置还包括：第一返回模块33。
所述第一返回模块33，用于在所述指纹质量确定模块31确定所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围后，返回采集用户当前指纹图像的操作。
示例性的，在上述实施例的基础上，所述装置还包括：录入图像统计模块34、结束模块35和第二返回模块36。
所述录入图像统计模块34，用于在所述指纹录入模块32将所述当前指纹图像录入指纹数据库中之后，确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值。
所述结束模块35，用于在所述录入图像统计模块34确定录入指纹数据库中的所述用户的指纹图像的总数超过预设数值后，结束录入。
所述第二返回模块36，用于在所述录入图像统计模块34确定录入指纹数据库中的所述用户的指纹图像的总数未超过预设数值后，返回采集用户当前指纹图像的操作。
示例性的，在上述实施例的基础上，所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
上述各实施例所述的指纹录入装置同样用于执行上述各实施例所述的指纹录入方法，其技术原理和产生的技术效果类似，这里不再累述。
本发明所描述的终端设备，包括：至少一个输入设备；至少一个输出设备；至少一个处理器，例如中央处理器（CPU，Central Processing Unit）；和存储器，上述输入设备、输出设备、处理器和存储器通过总线连接。
其中，上述输入设备具体可为指纹输入模块、物理按键或者鼠标等等。
上述输出设备具体可为显示屏。
上述存储器可以是高速RAM存储器，也可为非不稳定的存储器（non-volatile memory），例如磁盘存储器。上述存储器用于存储一组程序代码，上述输入设备、输出设备和处理器用于调用存储器中存储的程序代码，执行如下操作：
通过处理器执行代码，根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围。
通过处理器执行代码，若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
由于该终端设备可以执行发明实施例所提供的任一种指纹录入方法，因此，可以实现发明实施例所提供的任一种指纹录入方法所能实现的有益效果，详见前面的实施例，在此不再赘述。
注意，上述仅为本发明的较佳实施例及所运用技术原理。本领域技术人员会理解，本发明不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本发明的保护范围。因此，虽然通过以上实施例对本发明进行了较为详细的说明，但是本发明不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本发明的范围由所附的权利要求范围决定。

Claims (20)

  1. 一种指纹录入方法，其包括：
    根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
    若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
  2. 根据权利要求1所述的方法，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
  3. 根据权利要求1或2所述的方法，其中所述方法还包括：
    若所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围，则返回采集用户当前指纹图像的操作。
  4. 根据权利要求1或2所述的方法，其中所述将所述当前指纹图像录入指纹数据库中之后，还包括：
    确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；
    若是，则结束录入，若否，则返回采集用户当前指纹图像的操作。
  5. 根据权利要求1或2所述的方法，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
  6. 根据权利要求1所述的方法，其中所述将所述当前指纹图像录入指纹数据库中之前，还包括：
    预设指纹数据中的图像采集阈值；
    将所述图像采集阈值设为预设数值。
  7. 根据权利要求1所述的方法，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
  8. 一种指纹录入装置，其包括：
    指纹质量确定模块，用于根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
    指纹录入模块，用于在所述指纹质量确定模块确定波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围后，将所述当前指纹图像录入指纹数据库中。
  9. 根据权利要求8所述的装置，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
  10. 根据权利要求8或9所述的装置，其中所述装置还包括：
    第一返回模块，用于在所述指纹质量确定模块确定所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围后，返回采集用户当前指纹图像的操作。
  11. 根据权利要求8或9所述的装置，其中所述装置还包括：
    录入图像统计模块，用于在所述指纹录入模块将所述当前指纹图像录入指纹数据库中之后，确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；
    结束模块，用于在所述录入图像统计模块确定录入指纹数据库中的所述用户的指纹图像的总数超过预设数值后，结束录入；
    第二返回模块，用于在所述录入图像统计模块确定录入指纹数据库中的所述用户的指纹图像的总数未超过预设数值后，返回采集用户当前指纹图像的操作。
  12. 根据权利要求8或9所述的装置，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
  13. 根据权利要求8所述的装置，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
  14. 一种终端设备，其包括：
    存储有可执行程序代码的存储器；
    与所述存储器耦合的处理器；
    所述处理器调用所述存储器中存储的所述可执行程序代码，执行如下操作指令：根据当前采集的用户的当前指纹图像的图像质量和历史采集的所述用户的历史指纹图像的图像质量，确定所述用户的指纹图像的图像质量的波动幅度是否超过预设的图像质量波动阈值或图像质量波动阈值范围；
    若所述波动幅度未超过所述图像质量波动阈值或图像质量波动阈值范围，则将所述当前指纹图像录入指纹数据库中。
  15. 根据权利要求14所述的终端设备，其中所述用户的指纹图像的图像质量的波动幅度为当前指纹图像的图像质量和历史指纹图像的图像质量中图像质量的最大值与图像质量的最小值之差。
  16. 根据权利要求14或15所述的终端设备，其中执行操作指令还包括：
    若所述用户的指纹图像的图像质量的波动幅度超过所述图像质量波动阈值或图像质量波动阈值范围，则返回采集用户当前指纹图像的操作。
  17. 根据权利要求14或15所述的终端设备，其中所述将所述当前指纹图像录入指纹数据库中之后，还执行如下操作指令：
    确定录入指纹数据库中的所述用户的指纹图像的总数是否超过预设数值；
    若是，则结束录入，若否，则返回采集用户当前指纹图像的操作。
  18. 根据权利要求14所述的终端设备，其中所述将所述当前指纹图像录入指纹数据库中之前，还执行如下操作指令：
    预设指纹数据中的图像采集阈值；
    将所述图像采集阈值设为预设数值。
  19. 根据权利要求14或15所述的终端设备，其中所述图像质量为指纹图像对应的灰度平均值或灰度平均方差。
  20. 根据权利要求14所述的终端设备，其中所述历史采集的所述用户的历史指纹图像是指在当前采集用户当前指纹图像之前采集的指纹图像，可包含多幅指纹图像。
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