WO2017020424A1 - 指纹录入方法及装置 - Google Patents
指纹录入方法及装置 Download PDFInfo
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- WO2017020424A1 WO2017020424A1 PCT/CN2015/091352 CN2015091352W WO2017020424A1 WO 2017020424 A1 WO2017020424 A1 WO 2017020424A1 CN 2015091352 W CN2015091352 W CN 2015091352W WO 2017020424 A1 WO2017020424 A1 WO 2017020424A1
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- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000001514 detection method Methods 0.000 claims abstract description 35
- 238000012795 verification Methods 0.000 claims description 25
- 238000013479 data entry Methods 0.000 claims description 3
- 230000003139 buffering effect Effects 0.000 abstract 1
- 230000002708 enhancing effect Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 7
- 238000004590 computer program Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
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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
- G06V40/50—Maintenance of biometric data or enrolment thereof
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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
Definitions
- the present invention relates to the field of computer technologies, and in particular, to a fingerprint entry method and apparatus.
- the account password is usually used for verification, and the user needs to input a long password to complete the identity verification.
- fingerprints are usually used for identity verification.
- a fingerprint sensor is installed on the smart terminal, and the user can input a fingerprint to verify by touching the fingerprint sensor.
- the existing fingerprint verification method usually first records the sample fingerprint data in the operating system.
- the fingerprint sensor is usually small and the sensing area is small, so a single fingerprint detection can only obtain a single fingerprint. Refers to a subset of fingerprint data.
- the inventors have found through research that the fingerprint verification method in the prior art has at least the following problem: in order to obtain complete sample fingerprint data, when the sample fingerprint data is entered, the user needs to move the finger multiple times on the fingerprint sensor, and batch A subset of sample fingerprint data for all locations is entered and then merged into sample fingerprint data. This makes the fingerprint entry process very complicated and time consuming, resulting in insufficient convenience of operation.
- a fingerprint entry method includes:
- the verification passes and the extended fingerprint data in the cache is merged into the sample fingerprint data.
- step of receiving the fingerprint detection instruction further includes:
- the input of the fingerprint data is stopped, and the input is completed.
- the step of determining whether the collected target fingerprint data matches the sample fingerprint data further includes:
- intersection data of the collected target fingerprint data and the sample fingerprint data determining whether the intersection data is greater than a second threshold, and if yes, determining a match.
- the method further includes:
- step of receiving the fingerprint detection instruction further includes:
- the method further includes:
- the cached extended fingerprint data is discarded.
- a fingerprint input device is provided.
- a fingerprint verification device includes:
- a fingerprint entry device comprising:
- a fingerprint detection instruction receiving module configured to receive a fingerprint detection instruction, and obtain pre-stored sample fingerprint data, where the sample fingerprint data is a subset of a complete fingerprint data set;
- a target fingerprint data collecting module configured to continuously collect target fingerprint data by using a fingerprint sensor
- a fingerprint matching module configured to determine whether the collected target fingerprint data matches the sample fingerprint data
- An extended fingerprint data cache module configured to: when the matching fails, collect the target fingerprint data as an extended fingerprint data cache, and invoke the fingerprint matching module;
- a sample fingerprint data expansion module configured to determine that the verification passes when the matching is successful, and merge the extended fingerprint data in the cache into the sample fingerprint data.
- the device further includes a sample fingerprint data entry module, configured to receive a fingerprint input instruction, continuously collect the input fingerprint data through the fingerprint sensor, combine the input fingerprint data to obtain sample fingerprint data, and acquire the sample fingerprint data. The amount of data; when the data amount of the sample fingerprint data is greater than or equal to the first threshold, the collection of the input fingerprint data is stopped, and the input is completed.
- a sample fingerprint data entry module configured to receive a fingerprint input instruction, continuously collect the input fingerprint data through the fingerprint sensor, combine the input fingerprint data to obtain sample fingerprint data, and acquire the sample fingerprint data. The amount of data; when the data amount of the sample fingerprint data is greater than or equal to the first threshold, the collection of the input fingerprint data is stopped, and the input is completed.
- the fingerprint matching module is further configured to acquire the intersection data of the collected target fingerprint data and the sample fingerprint data, determine whether the intersection data is greater than a second threshold, and if yes, determine a match.
- the fingerprint matching module is further configured to determine whether the intersection data is smaller than a third threshold, and if yes, discard the collected target fingerprint data.
- the fingerprint detection instruction receiving module is further configured to record a start time stamp of receiving the fingerprint detection instruction
- the extended fingerprint data cache module is further configured to determine whether the timeout is timed relative to the start timestamp when the collected target fingerprint data does not match the sample fingerprint data, and if yes, discard the cache extension. Fingerprint data.
- FIG. 1 is a flow chart of a fingerprint entry method in an embodiment
- FIG. 2 is a comparison diagram of sample fingerprint data and complete fingerprint data in one embodiment
- FIG. 3 is a flow chart of a process of entering sample fingerprint data in an embodiment
- FIG. 4 is a schematic structural diagram of a fingerprint input device in an embodiment.
- the computer program is implemented and runs on a computer system based on the von Neumann system.
- the computer program can be a fingerprint management program on a smartphone or laptop.
- the computer system may be a terminal device such as a smart phone, a tablet computer, a palmtop computer, a notebook computer or a personal computer equipped with a fingerprint sensor.
- the method includes:
- Step S102 Receive a fingerprint detection instruction, and acquire pre-stored sample fingerprint data, where the sample fingerprint data is a subset of the complete fingerprint data set.
- the fingerprint detection command is an instruction to start the fingerprint sensor and start fingerprint verification. For example, when the user clicks on an executable file, an icon or a shortcut of a highly secure application on the terminal, since the identity of the user needs to be verified, an authentication verification command is generated to enter the fingerprint verification process.
- the authentication command is related to the user's operation. If the user's operation requires authentication, the identity is generated. Certificate instruction.
- the application access event may be detected, the application identifier corresponding to the application access event is obtained, and the fingerprint detection instruction of the application identifier is generated.
- An application access event is a system event that is triggered when a user launches an app or accesses a feature in an app.
- the user may not perform identity verification when entering the mobile payment application, and the user may view information such as the balance of the payment account or the transaction record, and when the user clicks the “payment” button to enter the payment function (ie, For a business value transfer service), the fingerprint input interface can be displayed for authentication.
- the sample fingerprint data is the reference fingerprint data used for fingerprint detection, and needs to be entered by the user in advance.
- the sample fingerprint data may be a subset of the complete fingerprint data set.
- the complete fingerprint data set is a data set of all the fingerprint points on the finger of the corresponding person, that is, as shown in FIG. 2, it is assumed that the set of all the fingerprint points on the finger of the person is the large circle area part in FIG.
- the sample fingerprint data is the small circle area part of the large circle area in Figure 2, which is the partial fingerprint point in the complete fingerprint data set.
- the step of pre-entry of the sample fingerprint data may be as shown in FIG. 3, including:
- Step S202 Receive a fingerprint input instruction, and continuously collect the input fingerprint data through the fingerprint sensor.
- Step S204 Combine the input fingerprint data to obtain sample fingerprint data.
- Step S206 Acquire a data amount of the sample fingerprint data.
- Step S208 When the data amount of the sample fingerprint data is greater than or equal to the first threshold, stop collecting the input fingerprint data, and the recording is completed.
- the sample fingerprint data when the sample fingerprint data is entered, it is not necessary to collect all the fingerprint points on the complete fingerprint data set, and only the number of fingerprint points to be collected exceeds a certain range, that is, the data amount of the sample fingerprint data (ie, corresponding If the number of fingerprint points exceeds the first threshold, the entry process is completed. And in the process of entering the fingerprint, the user can expand the data amount of the sample fingerprint data by sliding the finger multiple times.
- the operation of entering the fingerprint requires the user to slide on the fingerprint sensor compared with the conventional technology.
- the number of fingers is reduced, which speeds up the entry process and improves the convenience of operation.
- Step S104 continuously collecting target fingerprint data by using a fingerprint sensor
- the user After receiving the fingerprint detection instruction and correspondingly starting the fingerprint sensor to start detecting the fingerprint input, the user can input the fingerprint by sliding the finger on the fingerprint sensor.
- the fingerprint sensor periodically detects the fingerprint, and the fingerprint data collected in each cycle is the target fingerprint data.
- the fingerprint sensor can collect the target fingerprint data 10 times in sequence within 1 s.
- Step S106 determining whether the collected target fingerprint data matches the sample fingerprint data, and if not, executing step S108: collecting the target fingerprint data as an extended fingerprint data cache, and performing the continuous collection of the target by using the fingerprint sensor The step of fingerprint data.
- step S110 verification passes, and the extended fingerprint data in the cache is merged into the sample fingerprint data.
- the fingerprint sensor sequentially collects target fingerprint data in each cycle, and then determines whether the collected target fingerprint data matches the sample fingerprint data.
- the fingerprint sensor collects the target fingerprint data every 0.1s and then compares it with the sample fingerprint data to determine whether it matches. If it matches, the verification succeeds. If it does not match, the target fingerprint data is acquired in the next cycle, and then Continue to compare with the sample fingerprint data.
- the step of determining whether the collected target fingerprint data matches the sample fingerprint data may be specifically: acquiring intersection data of the collected target fingerprint data and the sample fingerprint data, and determining the intersection data Whether it is greater than the second threshold, and if so, the match is determined.
- the second threshold may be a proportional value or a number of specific fingerprint points. That is, if the second threshold is 80%, if 80% of the fingerprint points in the collected target fingerprint data match the fingerprint points of the corresponding positions in the sample fingerprint data, it is determined that the target fingerprint data matches; otherwise, the matching failure is determined. .
- the target fingerprint data in the matching failure process is not discarded, but is stored in the cache. Because the target fingerprint data fails to match, it also includes not being entered in the foregoing steps S202 to S208. Fingerprint point information. Can be stored as extended fingerprint data in the cache in.
- the target fingerprint data of the foregoing matching failure is also the fingerprint information of the user's finger but not recorded as the sample fingerprint data.
- the extended fingerprint data in the cache can be merged into the sample fingerprint data, thereby realizing the expansion of the sample fingerprint data.
- the step of collecting the target fingerprint data as the extended fingerprint data cache it may be determined whether the intersection data is smaller than a third threshold, and if yes, discarding the collected target fingerprint data.
- the extended fingerprint data that can be incorporated into the sample fingerprint data as an extension must be fingerprint information having a higher degree of similarity to the sample fingerprint data.
- the second threshold is 80% and the third threshold is 60%
- 70% of the fingerprint points in the target fingerprint data are detected and the fingerprint points of the corresponding positions in the sample fingerprint data match
- the matching process is performed. Failure, the fingerprint verification cannot be passed; however, since the similarity between the target fingerprint data and the sample fingerprint data is higher than the third threshold value of 60%, it can be determined that the target fingerprint data obtained by the detection is the same finger of the same user.
- the input can be used as an extended fingerprint data cache. After the matching is successful, the extended fingerprint data is merged into the sample fingerprint data.
- the step of receiving the fingerprint detection instruction may also record the start time stamp of receiving the fingerprint detection instruction.
- the method may also determine whether the timeout is timed relative to the start timestamp when the collected target fingerprint data does not match the sample fingerprint data, and if yes, discard the cached extended fingerprint data.
- the time threshold of the fingerprint verification can also be set, for example, 5 seconds. If the target fingerprint data detected by the fingerprint sensor multiple times within 5 seconds does not match the sample fingerprint data, the fingerprint verification failure can be determined. And discard the cached extended fingerprint data.
- a fingerprint input device includes: a fingerprint detection instruction receiving module 102, a target fingerprint data collection module 104, a fingerprint matching module 106, an extended fingerprint data cache module 108, and a sample fingerprint data expansion module 110, wherein:
- the fingerprint detection instruction receiving module 102 is configured to receive a fingerprint detection instruction, and obtain pre-stored sample fingerprint data, where the sample fingerprint data is a subset of the complete fingerprint data set.
- the target fingerprint data collection module 104 is configured to continuously collect target fingerprint data through the fingerprint sensor.
- the fingerprint matching module 106 is configured to determine whether the collected target fingerprint data matches the sample fingerprint data.
- the extended fingerprint data cache module 108 is configured to cache the collected target fingerprint data as an extended fingerprint data cache when the matching fails, and invoke the fingerprint matching module.
- the sample fingerprint data expansion module 110 is configured to determine that the verification passes when the matching is successful, and merge the extended fingerprint data in the cache into the sample fingerprint data.
- the device further includes a sample fingerprint data entry module 112, configured to receive a fingerprint input instruction, continuously collect the input fingerprint data through the fingerprint sensor, and combine the input fingerprint data to obtain a sample fingerprint. Data; acquiring the data amount of the sample fingerprint data; when the data amount of the sample fingerprint data is greater than or equal to the first threshold, stopping collecting the input fingerprint data, and completing the recording.
- a sample fingerprint data entry module 112 configured to receive a fingerprint input instruction, continuously collect the input fingerprint data through the fingerprint sensor, and combine the input fingerprint data to obtain a sample fingerprint. Data; acquiring the data amount of the sample fingerprint data; when the data amount of the sample fingerprint data is greater than or equal to the first threshold, stopping collecting the input fingerprint data, and completing the recording.
- the fingerprint matching module 106 is further configured to acquire the intersection data of the collected target fingerprint data and the sample fingerprint data, determine whether the intersection data is greater than a second threshold, and if yes, determine a match.
- the fingerprint matching module 106 is further configured to determine whether the intersection data is less than a third threshold, and if yes, discard the collected target fingerprint data.
- the fingerprint detection instruction receiving module 102 is further configured to record a start time stamp of receiving the fingerprint detection instruction.
- the extended fingerprint data cache module 108 is further configured to determine whether the timeout is timed relative to the start timestamp when the collected target fingerprint data does not match the sample fingerprint data, and if yes, discard the cached extended fingerprint. data.
- the user when the user inputs the sample fingerprint data, the user only needs to quickly input part of the fingerprint data as the matching criterion of the fingerprint verification, and does not need to input the complete data of all the fingerprint points.
- the pre-entered sample fingerprint data may be extended according to the matching failure but still the fingerprint data of the user. Therefore, the user spends less time in inputting the sample fingerprint data, thereby improving the operation. Convenience.
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Abstract
一种指纹录入方法及装置，其中所述方法包括：接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集(S102)；通过指纹传感器持续采集目标指纹数据(S104)；判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配(S106)，若否，则将采集到目标指纹数据作为扩展指纹数据缓存，执行所述通过指纹传感器持续采集目标指纹数据的步骤(S108)；若是，则校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中(S110)。该指纹录入方法及装置简化了样本指纹数据的录入过程，提高了操作的便利性。
Description
本发明涉及计算机技术领域，尤其涉及一种指纹录入方法及装置。
传统技术中，智能终端上的安全性较高的应用在进行用户身份校验时，通常使用账号密码校验，用户需要输入较长的密码才能完成身份校验。随着移动互联网的发展，为了简化身份校验的过程，加快身份校验的速度，通常使用指纹进行身份校验。智能终端上安装有指纹传感器，用户通过触摸指纹传感器则可输入指纹进行校验。
现有的指纹校验方法通常先在操作系统中录入样本指纹数据，然而，由于智能终端大小的限制，指纹传感器通常较小，其感应面积也较小，因此单次的指纹检测只能得到单指指纹数据的子集。现有技术中为了提高指纹检测的速度，通常需要预先录入完整的样本指纹数据，从而只需要通过判断检测到的目标指纹数据是否为录入的样本指纹数据的子集即可确定是否指纹检测通过。
然而，发明人经过研究发现现有技术中的指纹校验方法至少存在如下问题：为了得到完整的样本指纹数据，在录入样本指纹数据的时候，需要用户在指纹传感器上多次移动手指，分批次录入所有位置的样本指纹数据的子集，然后再合并为样本指纹数据。这样就使得指纹的录入过程非常复杂，耗时较多，从而导致操作的便利性不足。
发明内容
基于此，为解决上述提到的传统技术中录入样本指纹数据时需要录入完整的指纹信息的过程耗时较多，操作的便利性不足的技术问题，特提供了一种指纹录入方法。
一种指纹录入方法，包括：
接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整
的指纹数据集的子集；
通过指纹传感器持续采集目标指纹数据；
判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配，若否，则将采集到目标指纹数据作为扩展指纹数据缓存，执行所述通过指纹传感器持续采集目标指纹数据的步骤；
若是，则校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
进一步的，所述接收指纹检测指令的步骤之前还包括：
接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据；
合并所述输入的指纹数据得到样本指纹数据；
获取所述样本指纹数据的数据量；
在所述样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
进一步的，所述判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配的步骤还包括：
获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
进一步的，所述将采集到目标指纹数据作为扩展指纹数据缓存的步骤之前还包括：
判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
进一步的，所述接收指纹检测指令的步骤还包括：
记录接收到所述指纹检测指令的起始时间戳；
所述方法还包括：
在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
此外，为解决上述提到的传统技术中录入样本指纹数据时需要录入完整的指纹信息的过程耗时较多，操作的便利性不足的技术问题，特提供了一种指纹录入装置。
一种指纹校验装置，包括：
一种指纹录入装置，其特征在于，包括：
指纹检测指令接收模块，用于接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集；
目标指纹数据采集模块，用于通过指纹传感器持续采集目标指纹数据；
指纹匹配模块，用于判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配；
扩展指纹数据缓存模块，用于在匹配失败时将采集到目标指纹数据作为扩展指纹数据缓存，调用所述指纹匹配模块；
样本指纹数据扩展模块，用于在匹配成功时判定校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
进一步的，所述装置还包括样本指纹数据录入模块，用于接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据；合并所述输入的指纹数据得到样本指纹数据；获取所述样本指纹数据的数据量；在所述样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
进一步的，所述指纹匹配模块还用于获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
进一步的，所述指纹匹配模块还用于判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
进一步的，所述指纹检测指令接收模块还用于记录接收到所述指纹检测指令的起始时间戳；
所述扩展指纹数据缓存模块还用于在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述
中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
其中：
图1为一个实施例中一种指纹录入方法的流程图；
图2为一个实施例中样本指纹数据与完整指纹数据的对比图；
图3为一个实施例中一种录入样本指纹数据的过程的流程图；
图4为一个实施例中一种指纹录入装置的结构示意图。
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
为解决上述提到的传统技术中录入样本指纹数据时需要录入完整的指纹信息的过程耗时较多，操作的便利性不足的技术问题，特提供了一种指纹录入方法，该方法可依赖于计算机程序实现，可运行于基于冯诺依曼体系的计算机系统上。该计算机程序可以是智能手机或笔记本电脑上的指纹管理程序。该计算机系统可以是安装有指纹传感器的智能手机、平板电脑、掌上电脑，笔记本电脑或个人电脑等终端设备。
具体的，如图1所示，该方法包括：
步骤S102：接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集。
指纹检测指令即为启动指纹传感器，开始进行指纹验证的指令。例如，当用户点击终端上的安全性较高的应用的可执行文件、图标或快捷方式时，由于需要对用户的身份进行验证，因此生成身份验证指令进入指纹校验流程。身份验证指令与用户的操作相关，若用户的操作需要进行身份验证，则生成身份验
证指令。
在一个实施例中，可检测应用访问事件，获取应用访问事件对应的应用标识，生成应用标识的指纹检测指令。
应用访问事件即为用户启动某个应用或访问某个应用中的功能时触发的系统事件。例如，在移动支付应用对应的应用场景中，用户在进入移动支付应用时可不进行身份验证，用户可查看支付账户的余额或交易记录等信息，当用户点击“支付”按钮进入支付功能时(即为一种业务数值转移业务)，则可展示指纹输入界面进行身份验证。
样本指纹数据即为用于指纹检测的参照的指纹数据，需要用户提前录入。但在本实施例中，与传统技术不同的是，样本指纹数据可以为完整的指纹数据集的子集。完整的指纹数据集为对应人的手指上所有指纹点的数据集合，也就是说，如图2所示，假设人的手指上的所有指纹点的集合为图2中的大圆面积部分，则预存的样本指纹数据即为图2中大圆面积部分中的小圆面积部分，即为完整的指纹数据集中的部分指纹点。
具体的，预先录入样本指纹数据的步骤可如图3所示，包括：
步骤S202：接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据。
步骤S204：合并所述输入的指纹数据得到样本指纹数据。
步骤S206：获取所述样本指纹数据的数据量。
步骤S208：在样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
也就是说，在录入样本指纹数据时，并不需要采集完整的指纹数据集上的所有指纹点，只需要采集的指纹点的个数超过一定范围，即样本指纹数据的数据量(即对应的指纹点的数量)超过第一阈值，则完成录入过程。且在录入指纹的过程中，用户可通过滑动手指多次录入来扩充样本指纹数据的数据量。
由于录入的样本指纹数据的数据量不需要满足完整的指纹数据集上的所有指纹点，因此，和传统技术相比，录入指纹的操作需要用户在指纹传感器上滑
动手指的次数较少，从而加快了录入过程，提高了操作的便利性。
步骤S104：通过指纹传感器持续采集目标指纹数据；
在接收到指纹检测指令，相应启动了指纹传感器开始检测指纹输入之后，用户则可通过在指纹传感器上滑动手指来输入指纹。指纹传感器周期性地检测指纹，每个周期采集的指纹数据即为目标指纹数据。
例如，若采集周期为0.1s，则在1s内，指纹传感器可依次采集10次目标指纹数据。
步骤S106：判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配，若否，则执行步骤S108：将采集到目标指纹数据作为扩展指纹数据缓存，执行所述通过指纹传感器持续采集目标指纹数据的步骤。
若是，则执行步骤S110：校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
指纹传感器在每个周期依次采集目标指纹数据，然后判断采集的目标指纹数据是否与所述样本指纹数据匹配。如上例中，指纹传感器每隔0.1s采集目标指纹数据然后与样本指纹数据进行比对，判断是否匹配，若匹配，则校验成功，若不匹配，则再下一个周期获取目标指纹数据，然后继续与样本指纹数据进行比对。
具体的，判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配的步骤可具体为：获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
第二阈值可以是比例值也可以是具体的指纹点的个数。也就是说，若第二阈值为80％，则若采集到的目标指纹数据中80％的指纹点与样本指纹数据中相应位置的指纹点匹配，则判定目标指纹数据匹配；否则，判定匹配失败。
在匹配失败时，该次匹配失败过程中的目标指纹数据并不会丢弃，而是存储在缓存中，因为该目标指纹数据虽然匹配失败，但也包含了在前述步骤S202至步骤S208中没有录入的指纹点的信息。可将其作为扩展指纹数据存储在缓存
中。
在匹配成功时，则完成了对用户身份的验证，同时也表示前述匹配失败的目标指纹数据均为该用户手指上的但是没有录入作为样本指纹数据的指纹信息。此时，可将缓存中的扩展指纹数据合并到样本指纹数据中，从而实现了对样本指纹数据的扩展。
进一步的，将采集到目标指纹数据作为扩展指纹数据缓存的步骤之前还可判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
也就是说，若用户在指纹检测的过程中，更换了手指触摸，则采集到的目标指纹数据并不能作为扩展指纹数据合并到样本指纹数据中。因此，能够合并到样本指纹数据中作为扩展的扩展指纹数据必须是与样本指纹数据相似度较高的指纹信息。
如上例中，若第二阈值为80％，第三阈值为60％，则若检测得到目标指纹数据中70％的指纹点与样本指纹数据中相应位置的指纹点匹配，因此，该次匹配过程失败，不能指纹校验通过；但由于该次检测得到目标指纹数据与样本指纹数据相似度较高，大于第三阈值60％，则可判定该次检测得到的目标指纹数据为同一用户的同一手指的输入，可将其作为扩展指纹数据缓存。后续在匹配成功后，将该扩展指纹数据合并到样本指纹数据中。
进一步的，在本实施例中，接收指纹检测指令的步骤还可记录接收到所述指纹检测指令的起始时间戳。
本方法还可在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
也就是说，还可设置指纹校验的时间阈值，例如5秒钟，若指纹传感器在5秒内多次检测到的目标指纹数据均不与样本指纹数据匹配，则可判定指纹校验失败，并丢弃缓存的扩展指纹数据。
为解决上述提到的传统技术中录入样本指纹数据时需要录入完整的指纹信息的过程耗时较多，操作的便利性不足的技术问题，特提供了一种指纹录入装置，如图6所示，该装置包括：指纹检测指令接收模块102、目标指纹数据采集模块104、指纹匹配模块106、扩展指纹数据缓存模块108以及样本指纹数据扩展模块110，其中：
指纹检测指令接收模块102，用于接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集。
目标指纹数据采集模块104，用于通过指纹传感器持续采集目标指纹数据。
指纹匹配模块106，用于判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配。
扩展指纹数据缓存模块108，用于在匹配失败时将采集到目标指纹数据作为扩展指纹数据缓存，调用所述指纹匹配模块。
样本指纹数据扩展模块110，用于在匹配成功时判定校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
在本实施例中，如图4所示，该装置还包括样本指纹数据录入模块112，用于接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据；合并所述输入的指纹数据得到样本指纹数据；获取所述样本指纹数据的数据量；在所述样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
在本实施例中，指纹匹配模块106还用于获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
在本实施例中，指纹匹配模块106还用于判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
在本实施例中，指纹检测指令接收模块102还用于记录接收到所述指纹检测指令的起始时间戳。
扩展指纹数据缓存模块108还用于在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
实施本发明实施例，将具有如下有益效果：
采用了上述指纹录入方法及装置之后，用户在录入样本指纹数据时，只需要快速地录入部分指纹数据作为指纹校验的匹配标准即可，而不需要录入完整的所有指纹点的数据。而在后续指纹检测的过程中，可根据匹配失败但仍然为该用户的指纹数据来扩展预先录入的样本指纹数据，因此，用户在录入样本指纹数据时花费的时间更少，从而提高了操作的便利性。
以上所揭露的仅为本发明较佳实施例而已，当然不能以此来限定本发明之权利范围，因此依本发明权利要求所作的等同变化，仍属本发明所涵盖的范围。
Claims (10)
- 一种指纹录入方法，其特征在于，包括：接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集；通过指纹传感器持续采集目标指纹数据；判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配，若否，则将采集到目标指纹数据作为扩展指纹数据缓存，执行所述通过指纹传感器持续采集目标指纹数据的步骤；若是，则校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
- 根据权利要求1所述的指纹录入方法，其特征在于，所述接收指纹检测指令的步骤之前还包括：接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据；合并所述输入的指纹数据得到样本指纹数据；获取所述样本指纹数据的数据量；在所述样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
- 根据权利要求1所述的指纹录入方法，其特征在于，所述判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配的步骤还包括：获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
- 根据权利要求3所述的指纹录入方法，其特征在于，所述将采集到目标指纹数据作为扩展指纹数据缓存的步骤之前还包括：判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
- 根据权利要求1所述的指纹录入方法，其特征在于，所述接收指纹检测指令的步骤还包括：记录接收到所述指纹检测指令的起始时间戳；所述方法还包括：在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
- 一种指纹录入装置，其特征在于，包括：指纹检测指令接收模块，用于接收指纹检测指令，获取预存的样本指纹数据，所述样本指纹数据为完整的指纹数据集的子集；目标指纹数据采集模块，用于通过指纹传感器持续采集目标指纹数据；指纹匹配模块，用于判断所述采集到的目标指纹数据是否与所述样本指纹数据匹配；扩展指纹数据缓存模块，用于在匹配失败时将采集到目标指纹数据作为扩展指纹数据缓存，调用所述指纹匹配模块；样本指纹数据扩展模块，用于在匹配成功时判定校验通过，并将所述缓存中的扩展指纹数据合并到所述样本指纹数据中。
- 根据权利要求6所述的指纹录入装置，其特征在于，所述装置还包括样本指纹数据录入模块，用于接收指纹录入指令，通过指纹传感器持续采集输入的指纹数据；合并所述输入的指纹数据得到样本指纹数据；获取所述样本指纹数据的数据量；在所述样本指纹数据的数据量大于或等于第一阈值时，停止采集输入的指纹数据，录入完毕。
- 根据权利要求6所述的指纹录入装置，其特征在于，所述指纹匹配模块还用于获取所述采集到的目标指纹数据与所述样本指纹数据的交集数据，判断所述交集数据是否大于第二阈值，若是，则判定匹配。
- 根据权利要求8所述的指纹录入装置，其特征在于，所述指纹匹配模块还用于判断所述交集数据是否小于第三阈值，若是，则丢弃所述采集到的目标指纹数据。
- 根据权利要求6所述的指纹录入装置，其特征在于，所述指纹检测指令接收模块还用于记录接收到所述指纹检测指令的起始时间戳；所述扩展指纹数据缓存模块还用于在所述采集到的目标指纹数据与所述样本指纹数据不匹配时，判断是否相对于所述起始时间戳超时，若是，则丢弃所述缓存的扩展指纹数据。
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