WO2017067294A1 - 一种指纹采集方法、装置和终端 - Google Patents
一种指纹采集方法、装置和终端 Download PDFInfo
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- WO2017067294A1 WO2017067294A1 PCT/CN2016/093753 CN2016093753W WO2017067294A1 WO 2017067294 A1 WO2017067294 A1 WO 2017067294A1 CN 2016093753 W CN2016093753 W CN 2016093753W WO 2017067294 A1 WO2017067294 A1 WO 2017067294A1
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- Prior art keywords
- fingerprint
- sensing unit
- damage
- image value
- damage sensing
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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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
- G06V40/1306—Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
- G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
- G06K19/0716—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor
- G06K19/0718—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor the sensor being of the biometric kind, e.g. fingerprint sensors
-
- 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
- G06V40/1347—Preprocessing; Feature extraction
Definitions
- the embodiments of the present invention relate to the field of intelligent terminal technologies, and in particular, to a fingerprint collection method, apparatus, and terminal.
- Fingerprint is the texture formed by uneven skin on the surface of the finger.
- the texture feature of the fingerprint is unique and stable, so it is often used as the basis for identification.
- a fingerprint sensor is a sensor that uses fingerprints to identify an identity.
- the capacitive fingerprint sensor due to the process problem, there are a certain amount of damage sensing units among the plurality of sensing units included in the fingerprint sensor at the factory. At the same time, with the use of the user, the number of damaged sensing units will increase due to static electricity or other external conditions. The similarity of the fingerprint image values collected by these damage sensing units at different times is very high, resulting in an increase in the fingerprint misrecognition rate as the number of damaged sensing units increases.
- an embodiment of the present invention provides a fingerprint collection method, where the method includes:
- the fingerprint image is collected by using the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set as a random image value to form a fingerprint image collected by the fingerprint sensor.
- an embodiment of the present invention further provides a fingerprint collection device, where the device includes:
- a damage unit determining module configured to determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor
- the fingerprint image acquisition module is configured to collect fingerprint images by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image values collected by the damage sensing unit to random image values to form a fingerprint sensor. Fingerprint image.
- an embodiment of the present invention further provides a terminal, including a fingerprint sensor, and a fingerprint collection device connected to the fingerprint sensor;
- the fingerprint collection device includes:
- a damage unit determining module configured to determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor
- the fingerprint image acquisition module is configured to collect fingerprint images by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image values collected by the damage sensing unit to random image values to form a fingerprint sensor. Fingerprint image.
- the invention provides a fingerprint collection method, device and terminal, which can reduce the similarity of the fingerprint image values collected by the damage sensing unit at different times.
- Embodiment 1 is a flowchart of a fingerprint collection method in Embodiment 1 of the present invention.
- Embodiment 2 is a flowchart of a fingerprint collection method in Embodiment 2 of the present invention.
- Embodiment 3 is a flowchart of a fingerprint collection method in Embodiment 3 of the present invention.
- FIG. 4 is a structural diagram of a fingerprint collection device in Embodiment 4 of the present invention.
- FIG. 5 is a structural diagram of a terminal in Embodiment 5 of the present invention.
- the embodiment of the invention provides a fingerprint collection method, including:
- the fingerprint image is collected by using the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set as a random image value to form a fingerprint image collected by the fingerprint sensor.
- the determining the damage sensing unit of the plurality of sensing units included in the fingerprint sensor comprises:
- the sensing unit that collects the same fingerprint image value multiple times is determined as the damage sensing unit among the plurality of sensing units.
- the setting of the fingerprint image value collected by the damage sensing unit to a random image value includes:
- the location information of the damage sensing unit includes number information and/or coordinate information of the damage sensing unit.
- the fingerprint collection method further includes:
- the preset fingerprint template image is used to identify the fingerprint image collected by the formed fingerprint sensor, and the fingerprint recognition result is obtained.
- the setting of the fingerprint image value collected by the damage sensing unit to the random image value according to the location information of the damage sensing unit includes:
- the fingerprint collection method further includes:
- the fingerprint image collected by the fingerprint sensor is stored as an input fingerprint.
- the fingerprint image value may be a gray value
- the random image value may be a random value between 0 and 255.
- the embodiment of the invention further provides a fingerprint collection device, comprising:
- a damage unit determining module configured to determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor
- the fingerprint image acquisition module is configured to collect fingerprint images by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image values collected by the damage sensing unit to random image values to form a fingerprint sensor. Fingerprint image.
- the damage unit determining module is specifically configured to:
- the sensing unit that collects the same fingerprint image value multiple times is determined as the damage sensing unit among the plurality of sensing units.
- the fingerprint image acquisition module includes:
- a location information acquiring unit configured to acquire location information of the damage sensing unit
- a random value filling unit configured to set the fingerprint image value collected by the damage sensing unit to a random image value according to the location information of the damage sensing unit.
- the location information of the damage sensing unit includes number information and/or coordinate information of the damage sensing unit.
- the fingerprint collection device further includes:
- the graphic recognition module is configured to: after setting the fingerprint image value acquired by the damage sensing unit to a random image value, use the preset fingerprint template image to identify the fingerprint image collected by the formed fingerprint sensor, and obtain a fingerprint recognition result.
- the random value filling unit is specifically configured to:
- An embodiment of the present invention further provides a terminal, including a fingerprint sensor, and a fingerprint collection device connected to the fingerprint sensor;
- the fingerprint collection device includes:
- a damage unit determining module configured to determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor
- the fingerprint image acquisition module is configured to collect fingerprint images by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image values collected by the damage sensing unit to random image values to form a fingerprint sensor. Fingerprint image.
- the damage unit determining module is specifically configured to:
- the sensing unit that collects the same fingerprint image value multiple times is determined as the damage sensing unit among the plurality of sensing units.
- the fingerprint image acquisition module includes:
- a location information acquiring unit configured to acquire location information of the damage sensing unit
- a random value filling unit configured to set the fingerprint image value collected by the damage sensing unit to a random image value according to the location information of the damage sensing unit.
- the location information of the damage sensing unit includes number information and/or coordinate information of the damage sensing unit.
- the fingerprint collection device further includes:
- the graphic recognition module is configured to: after setting the fingerprint image value acquired by the damage sensing unit to a random image value, use the preset fingerprint template image to identify the fingerprint image collected by the formed fingerprint sensor, and obtain a fingerprint recognition result.
- the random value filling unit is specifically configured to:
- Embodiment 1 is a flowchart of a fingerprint collection method according to Embodiment 1 of the present invention.
- This embodiment is applicable to a situation where a user wants to collect a fingerprint image, and the method can be performed by a fingerprint collection device, and the device can be used as an intelligent device.
- a part of the terminal is built in the smart terminal, and the smart terminal may be an electronic terminal such as a smart phone or a tablet.
- the method specifically includes the following steps:
- Step 110 Determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor.
- the fingerprint sensor may be a capacitive fingerprint sensor.
- the working principle of the capacitive fingerprint sensor is: on a "flat plate" integrated with thousands of semiconductor devices, the finger is attached to the other side of the capacitor and the surface of the finger is convex and concave, at the bump and the concave point. The actual distance of the contact plate is not the same, and the capacitance value formed is different.
- the capacitive fingerprint sensor can include a plurality of sensing units, for example, including 160 ⁇ 160 sensing units, and the position of the fingerprint is different according to the magnitude of the capacitance of the fingerprint and the capacitance of the fingerprint sensing unit.
- the working process is: charging the capacitance sensing unit at each pixel to a certain reference voltage, and when the finger touches the capacitive fingerprint sensor, the sensing unit discharges, because the ⁇ is convex, the ⁇ is concave, due to the capacitance
- the value is related to the distance, and different capacitance values are formed at the ⁇ and ⁇ , so the discharge speeds at the ⁇ and ⁇ are also different, the sensing unit at the ⁇ (high capacitance) discharges slowly, and the sensing unit at the ⁇ (low capacitance) discharges faster, and according to the difference in discharge rate, the positions of ⁇ and ⁇ can be detected, thereby forming fingerprint image data.
- Some capacitive fingerprint sensors come with a damage sensing unit detection function, such as setting the sensor to all white or all black mode. If in the all white mode, some of the collected pixels are not white, or in all black mode, the collected Some pixels are not black, and the sensing unit corresponding to these pixels is determined to be a damaged sensing unit.
- the fingerprint sensor that does not damage the unit detection function, it can be determined whether the sensing unit corresponding to the pixel point is damaged by counting whether the pixel point in the image changes each time the fingerprint image is acquired by using the fingerprint sensor.
- Step 120 When the fingerprint collection event is detected, the fingerprint image is collected by using the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
- the fingerprint image value may be a gray value
- the random image value may be a random value of 0 to 255. Setting the fingerprint image value collected by the damage sensing unit to a random image value, that is, after the fingerprint sensor collects the fingerprint image, the fingerprint image value corresponding to the location of the damage sensing unit is discarded, and the random image value of 0 to 255 is used for replacement. , after replacement, a new fingerprint image is formed.
- the fingerprint image values collected by the different damage sensing units are different by setting the fingerprint image values collected by the damage sensing unit to random image values.
- the fingerprint image is collected by using the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set as a random image value to form a fingerprint sensor.
- the fingerprint image solves the problem that the similarity of the fingerprint image values collected by the damage sensing unit of the fingerprint sensor at different times is very high, and the similarity of the fingerprint image values collected by the damaged sensing unit at different times is reduced.
- the setting of the fingerprint image value collected by the damage sensing unit to the random image value may include: acquiring location information of the damage sensing unit; and according to the location information of the damage sensing unit, The fingerprint image value collected by the damage sensing unit is set to a random image value.
- FIG. 2 is a flowchart of a fingerprint collection method according to Embodiment 2 of the present invention. As shown in FIG. 2, the method provided in this embodiment may specifically include the following steps:
- Step 210 Determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor.
- the determining, by the fingerprint sensor, the damage sensing unit of the plurality of sensing units comprises: determining, by the sensing unit that multiple times the same fingerprint image value, the damage sensing unit of the plurality of sensing units.
- the sensing unit when collecting different fingerprint images, if the fingerprint image values collected by a sensing unit are the same, it indicates that the sensing unit cannot distinguish different fingerprint images, and then determines the damaged fingerprint sensing unit.
- Step 220 When the fingerprint collection event is detected, the fingerprint image is collected by using the multiple sensing units.
- Step 230 Acquire location information of the damage sensing unit.
- step 230 may be performed together with the step 210, that is, the position information and the quantity information of the damage sensing unit are determined together in the process of determining the damage sensing unit.
- the location information of the damage sensing unit includes number information and/or coordinate information of the damage sensing unit.
- Step 240 Set the fingerprint image value collected by the damage sensing unit to a random image value according to the location information of the damage sensing unit to form a fingerprint image collected by the fingerprint sensor.
- the distribution of the damage sensing unit may be determined by the number information and/or the coordinate information of the damage sensing unit, and a preset random image value generation rule is generated according to the distribution condition to generate a random image value, and performed. Replacement of fingerprint image values.
- the method further includes: identifying a fingerprint image collected by the formed fingerprint sensor by using a preset fingerprint template image, and obtaining a fingerprint recognition result.
- the fingerprint refers to the line created by the unevenness of the skin on the front side of the finger end of the person.
- the lines are regularly arranged to form different patterns.
- the starting point, end point, joint point and bifurcation point of the line are called the detailed feature points of the fingerprint.
- Fingerprint recognition refers to the identification by comparing the detailed feature points of different fingerprints.
- the rough matching may be performed according to the pattern of the fingerprint, and then the fingerprint shape and the detail feature are used for exact matching.
- the exact matching may be first calculating the pixel feature value of the target pixel in the collected fingerprint image, and then acquiring the preset The pixel feature value of each pixel in the fingerprint template image compares the pixel feature value of the target pixel in the captured fingerprint image with the pixel feature value of each pixel in the preset fingerprint template image to obtain the similarity between the images. And generating a fingerprint recognition result according to the similarity, the recognition result including the recognition success or the recognition failure.
- the location of the damage sensing unit is obtained, and the fingerprint image value collected by the damage sensing unit is set to a random image value according to the location information of the damage sensing unit to form a fingerprint sensor.
- Fingerprint image, and adopting a preset fingerprint template image to identify the fingerprint image collected by the formed fingerprint sensor to obtain a fingerprint recognition result, and the similarity of the fingerprint image value collected by the damage sensor of the fingerprint sensor at different times is solved.
- the problem that the fingerprint false recognition rate increases as the number of damaged sensing units increases increases, and the similarity of the fingerprint image values collected by the sensing unit at different times is reduced, thereby reducing the fingerprint false recognition rate.
- FIG. 3 is a flowchart of a fingerprint collection method according to Embodiment 3 of the present invention. As shown in FIG. 3, the method provided in this embodiment may specifically include the following steps:
- Step 310 Determine a sensing unit that collects the same fingerprint image value multiple times as a damage sensing unit of the fingerprint sensor.
- the damage sensing unit of the fingerprint sensor can also be determined by the damage sensing unit detection function provided by the fingerprint sensor.
- Step 320 When the fingerprint collection event is detected, the fingerprint image is collected by using the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set to a random image value to form a fingerprint image collected by the fingerprint sensor.
- the sensing unit of the fingerprint sensor when detecting that the finger presses the fingerprint sensor, performs fingerprint image collection.
- Step 330 Store the fingerprint image collected by the fingerprint sensor as an input fingerprint, or compare with the preset fingerprint template image to obtain a fingerprint recognition result.
- the fingerprint image collected by the fingerprint sensor is stored as an input fingerprint
- the fingerprint image collected by the fingerprint sensor and the preset fingerprint template image are Compare and obtain fingerprint recognition results.
- the sensing unit that collects the same fingerprint image value multiple times is determined as the damage sensing unit of the plurality of sensing units, and the fingerprint image value collected by the damage sensing unit is set as a random image value.
- the fingerprint image collected by the fingerprint sensor is formed, and the fingerprint image collected by the fingerprint sensor is stored as an input fingerprint, or compared with a preset fingerprint template image to obtain a fingerprint recognition result, and the damage sensor unit of the fingerprint sensor is solved at different times.
- the similarity of the collected fingerprint image values is very high, resulting in the problem that the fingerprint false recognition rate increases as the number of damaged sensing units increases, and the similarity of the fingerprint image values collected by the damaged sensing unit at different times is reduced, thereby reducing the similarity. Fingerprint misrecognition rate.
- the device includes: a damage unit determination module 410 and a fingerprint image acquisition module 420, wherein
- the damaged unit determining module 410 is configured to determine a damaged sensing unit of the plurality of sensing units included in the fingerprint sensor;
- the fingerprint image acquisition module 420 is configured to collect the fingerprint image by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image value collected by the damage sensing unit to a random image value to form a fingerprint sensor. Fingerprint image.
- the damage unit determining module 410 may be specifically configured to: determine, by the sensing unit that collects the same fingerprint image value multiple times as the damage sensing unit of the plurality of sensing units.
- the fingerprint image collection module 420 may specifically include:
- a location information acquiring unit configured to acquire location information of the damage sensing unit
- a random value filling unit configured to set the fingerprint image value collected by the damage sensing unit to a random image value according to the location information of the damage sensing unit.
- the location information of the damage sensing unit may include number information and/or coordinate information of the damage sensing unit.
- the device may further include:
- the graphic recognition module is configured to: after setting the fingerprint image value acquired by the damage sensing unit to a random image value, use the preset fingerprint template image to identify the fingerprint image collected by the formed fingerprint sensor, and obtain a fingerprint recognition result.
- the fingerprint collection device provided in this embodiment is the same as the fingerprint collection method provided by any embodiment of the present invention, and may execute the fingerprint collection method provided by any embodiment of the present invention, and has a function module corresponding to performing the fingerprint collection method. Beneficial effect. For a technical detail that is not described in detail in this embodiment, reference may be made to the fingerprint collection method provided by any embodiment of the present invention.
- FIG. 5 is a schematic structural diagram of a terminal according to Embodiment 5 of the present invention.
- the terminal 50 includes a fingerprint sensor 51, and further includes: a fingerprint collection device 52 according to any embodiment of the present invention.
- the terminal may be a device held by a user such as a mobile phone or a tablet computer, but is not limited to the above device.
- the technical solution of this embodiment provides a terminal, the terminal includes a fingerprint sensor 51, and a fingerprint collection device 52 connected to the fingerprint sensor;
- the fingerprint collection device 52 includes:
- a damage unit determining module configured to determine a damage sensing unit among the plurality of sensing units included in the fingerprint sensor
- the fingerprint image acquisition module is configured to collect fingerprint images by using the plurality of sensing units when the fingerprint collection event is detected, and set the fingerprint image values collected by the damage sensing unit to random image values to form a fingerprint sensor. Fingerprint image.
- the damaged unit determining module is specifically configured to:
- the sensing unit that collects the same fingerprint image value multiple times is determined as the damage sensing unit among the plurality of sensing units.
- the fingerprint image acquisition module comprises:
- a location information acquiring unit configured to acquire location information of the damage sensing unit
- a random value filling unit configured to set the fingerprint image value collected by the damage sensing unit to a random image value according to the location information of the damage sensing unit.
- the location information of the damage sensing unit includes number information and/or coordinate information of the damage sensing unit.
- the fingerprint collection device 52 may further include:
- the graphic recognition module is configured to: after setting the fingerprint image value acquired by the damage sensing unit to a random image value, use the preset fingerprint template image to identify the fingerprint image collected by the formed fingerprint sensor, and obtain a fingerprint recognition result.
- the random value filling unit is specifically configured to:
- the terminal provided in this embodiment may further include: radio frequency (RF, Radio) Frequency circuit, memory, input unit, display unit, sensor, audio circuit, wireless fidelity (WiFi, Wireless) including one or more computer readable storage media Fidelity modules, including processors with one or more processing cores, and power supplies.
- RF radio frequency
- WiFi Wireless
- the fingerprint collection device in this embodiment may be integrated in the processor.
- the terminal provided in this embodiment may determine the sensing unit that collects the same fingerprint image value multiple times as the damage sensing unit in the multiple sensing units, and then set the fingerprint image value collected by the damage sensing unit to a random image.
- the value is used to form a fingerprint image collected by the fingerprint sensor, and the fingerprint image collected by the fingerprint sensor is stored as an input fingerprint, or compared with a preset fingerprint template image to obtain a fingerprint recognition result, and the damage sensing unit of the fingerprint sensor is solved.
- the similarity of the fingerprint image values collected at different times is very high, resulting in the problem that the fingerprint false recognition rate increases as the number of damaged sensing units increases, and the similarity of the fingerprint image values collected by the damaged sensing unit at different times is reduced, thereby Reduced fingerprint misrecognition rate.
- ROM read only memory
- RAM Random Access Memory
Abstract
本发明公开了一种指纹采集方法、装置和终端；该指纹采集方法包括：确定指纹传感器包含的多个感应单元中的损坏感应单元；在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
Description
本申请要求于2015年10月19日提交中国专利局、申请号为201510679998.7、发明名称为“一种指纹采集方法及装置”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。
本发明实施例涉及智能终端技术领域，尤其涉及一种指纹采集方法、装置和终端。
指纹是手指表面皮肤凹凸不平形成的纹理，指纹的纹理特征具有唯一性、稳定性，因此常常被用来作为身份识别的依据。指纹传感器就是一种通过指纹来识别身份的传感器。
对于电容式的指纹传感器，由于工艺的问题，在出厂时指纹传感器所包含的多个感应单元中会有一定量的损坏感应单元。同时随着用户的使用，受静电或者其他外部条件的影响，损坏感应单元的数量也会随之增加。这些损坏感应单元在不同时间采集的指纹图像值的相似度非常高，导致随着损坏感应单元的数量的增加指纹误识别率上升。
第一方面，本发明实施例提供了一种指纹采集方法，所述方法，包括：
确定指纹传感器包含的多个感应单元中的损坏感应单元；
在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
第二方面，本发明实施例还提供了一种指纹采集装置，所述装置包括：
损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
第三方面，本发明实施例还提供了一种终端，包括指纹传感器、以及与所述指纹传感器连接的指纹采集装置；
所述指纹采集装置包括：
损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
本发明提供一种指纹采集方法、装置和终端，可以降低损坏感应单元在不同时间采集的指纹图像值的相似度。
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。
图1是本发明实施例一中的一种指纹采集方法的流程图；
图2是本发明实施例二中的一种指纹采集方法的流程图；
图3是本发明实施例三中的一种指纹采集方法的流程图；
图4是本发明实施例四中的一种指纹采集装置的结构图；
图5是本发明实施例五中的一种终端的结构图。
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。
本发明实施例提供了一种指纹采集方法，包括：
确定指纹传感器包含的多个感应单元中的损坏感应单元；
在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
一实施例中，所述确定指纹传感器包含的多个感应单元中的损坏感应单元，包括：
将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
一实施例中，所述将所述损坏感应单元采集的指纹图像值设置为随机图像值，包括：
获取所述损坏感应单元的位置信息；
根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
一实施例中，所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息
一实施例中，在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，所述指纹采集方法还包括：
采用预设的指纹模板图像，对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
一实施例中，所述根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值，包括：
通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；
根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
一实施例中，在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，所述指纹采集方法还包括：
将指纹传感器采集的指纹图像作为录入指纹进行存储。
一实施例中，所述指纹图像值可以为灰度值，所述随机图像值可以为0到255之间的随机值。
本发明实施例还提供了一种指纹采集装置，包括：
损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
一实施例中，所述损坏单元确定模块具体用于：
将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
一实施例中，所述指纹图像采集模块包括：
位置信息获取单元，用于获取所述损坏感应单元的位置信息；
随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
一实施例中，所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
一实施例中，所述指纹采集装置还包括：
图形识别模块，用于在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
一实施例中，所述随机值填充单元，具体用于：
通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；
根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
本发明实施例还提供了一种终端，包括指纹传感器、以及与所述指纹传感器连接的指纹采集装置；
所述指纹采集装置包括：
损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
一实施例中，所述损坏单元确定模块具体用于：
将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
一实施例中，所述指纹图像采集模块包括：
位置信息获取单元，用于获取所述损坏感应单元的位置信息；
随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
一实施例中，所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
一实施例中，所述指纹采集装置还包括：
图形识别模块，用于在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
一实施例中，所述随机值填充单元，具体用于：
通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；
根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
实施例一
图1是本发明实施例一中的一种指纹采集方法的流程图，本实施例可适用于用户想要采集指纹图像的情况，该方法可以由指纹采集装置来执行，所述装置可作为智能终端的一部分被内置在智能终端内部，智能终端可以是诸如智能手机、平板电脑之类的电子终端。如图1所示，所述方法具体包括如下步骤：
步骤110、确定指纹传感器包含的多个感应单元中的损坏感应单元。
其中，所述指纹传感器可以为电容式指纹传感器。电容式指纹传感器工作原理为：在一块集成有成千上万半导体器件的“平板”上，手指贴在其上与其构成了电容的另一面，由于手指平面凸凹不平，凸点处和凹点处接触平板的实际距离大小就不一样，形成的电容数值也就不一样。
电容式指纹传感器中可以包含很多个感应单元，例如包括160×160个感应单元，根据指纹的嵴和峪在电容感应单元上的电容值大小不同，来判断什么位置是嵴什么位置是峪。其工作过程是：将每个像素点上的电容感应单元充电到某一参考电压，当手指接触到电容式指纹传感器时，感应单元进行放电，因为嵴是凸起的峪是凹下，由于电容值与距离有关，会在嵴和峪的处形成不同的电容值，因此嵴和峪处的放电速度也不同，嵴处的感应单元(电容量高)放电较慢，而处于峪处的感应单元(电容量低)放电较快，按照放电率的不同，可以探测到嵴和峪的位置，从而形成指纹图像数据。
由于工艺的问题，在出厂时指纹传感器包含的多个感应单元中会有一定量的损坏感应单元，每次采集指纹图像时，这些损坏感应单元采集的图像相同。当所述损坏感应单元的数量未超过预设的标准数量值时，对指纹图像的影响很小，但随着用户的使用，受静电或者其他外部条件的影响，损坏感应单元的数量会随之增加，当损坏感应单元的数量超过预设的标准数量值时，随着损坏感应单元的增多，导致指纹图像的识别率降低。本实施例对标准数量值不作具体限定，如标准数量值可以是11。
部分电容式指纹传感器自带损坏感应单元检测功能，例如将传感器设置为全白或全黑模式，若在全白模式下，采集到的有些像素点不是白色，或者全黑模式下，采集到的有些像素点不是黑色，将这些像素点对应的感应单元确定为损坏感应单元。
对于没有损坏单元检测功能的指纹传感器，可以通过统计每次使用指纹传感器采集指纹图像时，图像中的像素点是否变化来判定所述像素点对应的感应单元是否损坏。
步骤120、在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
其中，所述指纹图像值可以为灰度值，所述随机图像值可以为0到255的随机值。将所述损坏感应单元采集的指纹图像值设置为随机图像值，即指纹传感器采集到指纹图像后，将所述损坏感应单元对应位置的指纹图像值舍弃，并用0到255的随机图像值进行替换，替换后形成新的指纹图像。通过将损坏感应单元采集的指纹图像值设置为随机图像值，使得不同损坏感应单元采集的指纹图像值不同。
本实施例的技术方案，通过在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像，解决了指纹传感器的损坏感应单元在不同时间采集的指纹图像值的相似度非常高的问题，降低了损坏感应单元在不同时间采集的指纹图像值的相似度。
实施例二
本实施例在上述实施例一的基础上提供了一种指纹采集方法。在本实施例中，将所述损坏感应单元采集的指纹图像值设置为随机图像值，具体可以包括：获取所述损坏感应单元的位置信息；根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
图2是本发明实施例二中的一种指纹采集方法的流程图，如图2所示，本实施例提供的方法具体可以包括如下步骤：
步骤210、确定指纹传感器包含的多个感应单元中的损坏感应单元。
优选的，所述确定指纹传感器包含的多个感应单元中的损坏感应单元，包括：将多次采集到相同指纹图像值的感应单元确定为所述多个感应单元中的损坏感应单元。
具体的，对不同的指纹图像进行采集时，若某一感应单元多次采集到的指纹图像值相同，则说明此感应单元对不能区分不同的指纹图像，则将其确定为损坏的感应单元。
步骤220、在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像。
步骤230、获取所述损坏感应单元的位置信息。
需要说明的是，步骤230可以与步骤210一起执行，即在确定损坏感应单元的过程中一并确定损坏感应单元的位置信息和数量信息。
可选的，所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
步骤240、根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
具体的，可以通过所述损坏感应单元的编号信息和/或坐标信息判断所述损坏感应单元的分布情况，并根据所述分布情况选择预设的随机图像值生成规律生成随机图像值，并进行指纹图像值的替换。
优选的，将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，还包括：采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
其中，指纹是指人的手指末端正面皮肤上凸凹不平产生的纹线。纹线有规律的排列形成不同的纹型。纹线的起点、终点、结合点和分叉点，称为指纹的细节特征点。指纹识别即指通过比较不同指纹的细节特征点来进行鉴别。
具体的，可以根据指纹的纹型进行粗匹配，进而利用指纹形态和细节特征进行精确匹配，所述精确匹配可以是首先计算采集的指纹图像中目标像素点的像素特征值，然后获取预设的指纹模板图像中各个像素点的像素特征值，将采集的指纹图像中目标像素点的像素特征值与预设的指纹模板图像中各个像素点的像素特征值进行对比，获得图像之间的相似度，依据相似度，生成指纹识别结果，所述识别结果包括识别成功或识别失败。
本实施例的技术方案，通过获取所述损坏感应单元的位置信息，根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像，并采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别以获得指纹识别结果，解决了指纹传感器的损坏感应单元在不同时间采集的指纹图像值的相似度非常高，所导致的随着损坏感应单元的数量的增加指纹误识别率上升的问题，降低了损坏感应单元在不同时间采集的指纹图像值的相似度，从而降低了指纹误识别率。
实施例三
本实施例以上述实施例为基础，提供了指纹采集方法的一个具体实例。图3是本发明实施例三中的一种指纹采集方法的流程图，如图3所示，本实施例提供的方法具体可以包括如下步骤：
步骤310、将多次采集到相同指纹图像值的感应单元确定为指纹传感器的损坏感应单元。
另外，对于有损坏感应单元检测功能的指纹传感器，也可以通过指纹传感器自带的损坏感应单元检测功能来确定指纹传感器的损坏感应单元。
步骤320、在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
具体的，当检测到手指按压指纹传感器时，指纹传感器的感应单元进行指纹图像采集。
步骤330、将指纹传感器采集的指纹图像作为录入指纹进行存储，或与预设的指纹模板图像进行对比，获得指纹识别结果。
具体的，若所述指纹传感器处于录入模式，则将指纹传感器采集的指纹图像作为录入指纹进行存储，若所述指纹传感器处于识别模式，则将指纹传感器采集的指纹图像与预设的指纹模板图像进行对比，获得指纹识别结果。
本实施例的技术方案，将多次采集到相同指纹图像值的感应单元确定为所述多个感应单元中的损坏感应单元，将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像，并将指纹传感器采集的指纹图像作为录入指纹进行存储，或与预设的指纹模板图像进行对比，获得指纹识别结果，解决了指纹传感器的损坏感应单元在不同时间采集的指纹图像值的相似度非常高，导致的随着损坏感应单元的数量的增加指纹误识别率上升的问题，降低了损坏感应单元在不同时间采集的指纹图像值的相似度，从而降低了指纹误识别率。
实施例四
图4是本发明实施例四中的一种指纹采集装置的结构图，如图4所示，所述装置包括：损坏单元确定模块410和指纹图像采集模块420，其中，
损坏单元确定模块410，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块420，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
进一步的，所述损坏单元确定模块410具体可以用于：将多次采集到相同指纹图像值的感应单元确定为所述多个感应单元中的损坏感应单元。
进一步的，所述指纹图像采集模块420具体可以包括：
位置信息获取单元，用于获取所述损坏感应单元的位置信息；
随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
进一步的，所述损坏感应单元的位置信息可以包括损坏感应单元的编号信息和/或坐标信息。
进一步的，所述装置还可以包括：
图形识别模块，用于将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
本实施例提供的指纹采集装置，与本发明任意实施例所提供的指纹采集方法属于同一发明构思，可执行本发明任意实施例所提供的指纹采集方法，具备执行指纹采集方法相应的功能模块和有益效果。未在本实施例中详尽描述的技术细节，可参见本发明任意实施例提供的指纹采集方法。
实施例五
图5为本发明实施例五提供的一种终端的结构示意图，该终端50包括指纹传感器51，还包括：本发明任一实施例所述的指纹采集装置52。
所述终端可以是手机、平板电脑等用户持有的设备，但是不限于上述设备。
本实施例的技术方案，提供了一种终端，该终端包括指纹传感器51、和与该指纹传感器连接的指纹采集装置52；
其中，该指纹采集装置52包括：
损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；
指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
优选地，所述损坏单元确定模块具体用于：
将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
优选地，所述指纹图像采集模块包括：
位置信息获取单元，用于获取所述损坏感应单元的位置信息；
随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
优选地，所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
优选地，该指纹采集装置52还可以包括：
图形识别模块，用于在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
优选地，所述随机值填充单元，具体用于：
通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；
根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
此外，本实施例提供的终端还可以包括：射频（RF，Radio
Frequency）电路、包括有一个或一个以上计算机可读存储介质的存储器、输入单元、显示单元、传感器、音频电路、无线保真（WiFi，Wireless
Fidelity)模块、包括有一个或者一个以上处理核心的处理器、以及电源等部件。可选地，本实施例中指纹采集装置可以集成在处理器中。
本实施例提供的终端可以将多次采集到相同指纹图像值的感应单元确定为所述多个感应单元中的损坏感应单元，然后，将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像，并将指纹传感器采集的指纹图像作为录入指纹进行存储，或与预设的指纹模板图像进行对比，获得指纹识别结果，解决了指纹传感器的损坏感应单元在不同时间采集的指纹图像值的相似度非常高，导致的随着损坏感应单元的数量的增加指纹误识别率上升的问题，降低了损坏感应单元在不同时间采集的指纹图像值的相似度，从而降低了指纹误识别率。
需要说明的是，本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于计算机可读存储介质中，如存储在终端的存储器中，并被该终端内的至少一个处理器执行，在执行过程中可包括如信息发布方法的实施例的流程。其中，存储介质可以包括：只读存储器（ROM，Read
Only Memory）、随机存取记忆体（RAM，Random Access Memory）、磁盘或光盘等。
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)
- 一种指纹采集方法，其中包括：确定指纹传感器包含的多个感应单元中的损坏感应单元；在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
- 根据权利要求1所述的方法，其中所述确定指纹传感器包含的多个感应单元中的损坏感应单元，包括：将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
- 根据权利要求1所述的方法，其中所述将所述损坏感应单元采集的指纹图像值设置为随机图像值，包括：获取所述损坏感应单元的位置信息；根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
- 根据权利要求3所述的方法，其中所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
- 根据权利要求1所述的方法，其中在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，所述方法还包括：采用预设的指纹模板图像，对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
- 根据权利要求4所述的方法，其中所述根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值，包括：通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
- 根据权利要求1所述的方法，其中在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，所述方法还包括：将指纹传感器采集的指纹图像作为录入指纹进行存储。
- 根据权利要求1所述的方法，其中所述指纹图像值可以为灰度值，所述随机图像值可以为0到255之间的随机值。
- 一种指纹采集装置，其中包括：损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
- 根据权利要求9所述的装置，其中所述损坏单元确定模块具体用于：将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
- 根据权利要求9所述的装置，其中所述指纹图像采集模块包括：位置信息获取单元，用于获取所述损坏感应单元的位置信息；随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
- 根据权利要求11所述的装置，其中所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
- 根据权利要求9所述的装置，其中还包括：图形识别模块，用于在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
- 根据权利要求12所述的装置，其中所述随机值填充单元，具体用于：通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
- 一种终端，其中包括指纹传感器、以及与所述指纹传感器连接的指纹采集装置；所述指纹采集装置包括：损坏单元确定模块，用于确定指纹传感器包含的多个感应单元中的损坏感应单元；指纹图像采集模块，用于在监测到指纹采集事件时，采用所述多个感应单元采集指纹图像，并将所述损坏感应单元采集的指纹图像值设置为随机图像值，以形成指纹传感器采集的指纹图像。
- 根据权利要求15所述的终端，其中所述损坏单元确定模块具体用于：将多次采集到相同指纹图像值的感应单元，确定为所述多个感应单元中的损坏感应单元。
- 根据权利要求15所述的终端，其中所述指纹图像采集模块包括：位置信息获取单元，用于获取所述损坏感应单元的位置信息；随机值填充单元，用于根据所述损坏感应单元的位置信息，将所述损坏感应单元采集的指纹图像值设置为随机图像值。
- 根据权利要求17所述的终端，其中所述损坏感应单元的位置信息包括损坏感应单元的编号信息和/或坐标信息。
- 根据权利要求15所述的终端，其中所述指纹采集装置还包括：图形识别模块，用于在将所述损坏感应单元获取的指纹图像值设置为随机图像值之后，采用预设的指纹模板图像对形成的指纹传感器采集的指纹图像进行识别，获得指纹识别结果。
- 根据权利要求18所述的终端，其中所述随机值填充单元，具体用于：通过所述损坏感应单元的编号信息和/或坐标信息，判断所述损坏感应单元的分布情况；根据所述分布情况选择预设的随机图像值生成规律，生成随机图像值，并将所述损坏感应单元采集的指纹图像值替换为所述随机图像值。
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| CN106022062B (zh) * | 2016-05-27 | 2020-01-21 | Oppo广东移动通信有限公司 | 一种解锁方法及移动终端 |
| CN106066955B (zh) * | 2016-05-27 | 2019-02-05 | Oppo广东移动通信有限公司 | 一种解锁控制方法及移动终端 |
| CN105808108B (zh) * | 2016-05-27 | 2019-02-12 | Oppo广东移动通信有限公司 | 一种解锁控制方法及移动终端 |
| CN106066767A (zh) * | 2016-05-27 | 2016-11-02 | 广东欧珀移动通信有限公司 | 一种解锁方法及移动终端 |
| CN106022066B (zh) * | 2016-05-30 | 2019-04-23 | Oppo广东移动通信有限公司 | 一种终端的解锁方法及终端 |
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| CN106096515B (zh) * | 2016-05-31 | 2019-10-25 | Oppo广东移动通信有限公司 | 一种解锁控制方法及终端设备 |
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| CN106203295B (zh) * | 2016-06-30 | 2020-02-21 | 联想(北京)有限公司 | 一种指纹检测方法以及电子设备 |
| CN107644220B (zh) * | 2017-09-30 | 2021-03-05 | 上海摩软通讯技术有限公司 | 移动终端的指纹识别方法及系统 |
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| CN108197550A (zh) * | 2017-12-28 | 2018-06-22 | 北京小米移动软件有限公司 | 故障提示方法、装置及电子设备 |
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| CN105224931A (zh) | 2016-01-06 |
| US20180211084A1 (en) | 2018-07-26 |
| CN105224931B (zh) | 2018-05-08 |
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| US20190087623A1 (en) | 2019-03-21 |
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