WO2016165107A1 - 一种采集指纹的方法、指纹采集器以及终端 - Google Patents

一种采集指纹的方法、指纹采集器以及终端 Download PDF

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Publication number
WO2016165107A1
WO2016165107A1 PCT/CN2015/076755 CN2015076755W WO2016165107A1 WO 2016165107 A1 WO2016165107 A1 WO 2016165107A1 CN 2015076755 W CN2015076755 W CN 2015076755W WO 2016165107 A1 WO2016165107 A1 WO 2016165107A1
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Prior art keywords
fingerprint
fingerprint image
preset
value
variance
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PCT/CN2015/076755
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English (en)
French (fr)
Inventor
李丹洪
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to PCT/CN2015/076755 priority Critical patent/WO2016165107A1/zh
Priority to CN201580004160.6A priority patent/CN106258009B/zh
Priority to US15/520,042 priority patent/US10268862B2/en
Priority to EP15888812.3A priority patent/EP3200121A4/en
Publication of WO2016165107A1 publication Critical patent/WO2016165107A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993Evaluation of the quality of the acquired pattern
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1347Preprocessing; Feature extraction

Definitions

  • the present invention relates to the field of image processing, and in particular, to a method for collecting a fingerprint, a fingerprint collector, and a terminal.
  • the fingerprint collector is a kind of sophisticated electronic instrument that uses human fingerprints to have different characteristics for identification. It is mainly used to collect human fingerprints for identity verification.
  • the dry and wet finger problem of fingerprints has always been the number one problem affecting the success rate of fingerprint collector verification. For example, when the winter is dry or wet in summer, it is difficult for the fingerprint collector to obtain a good fingerprint image because the finger is too dry or too wet. .
  • the fingerprint collector generally captures the fingerprints by manually adjusting several sets of parameters, such as dry, normal, and wet parameters, and then selects the best one by algorithm.
  • the embodiment of the invention provides a method for collecting a fingerprint, a fingerprint collector and a terminal, which are used for improving the quality of the image collected by the fingerprint collector, thereby increasing the success rate of the fingerprint sensor verification.
  • a first aspect of the embodiments of the present invention provides a method for collecting a fingerprint, including:
  • the fingerprint collector acquires a fingerprint image of the user
  • the fingerprint collector determines whether the mean value of the fingerprint image is within a preset average range, and the mean value of the fingerprint image is an average value of pixel values of each pixel point in the fingerprint image;
  • the fingerprint collector adjusts the gain of the fingerprint collector according to the average value of the fingerprint image, so that the average value of the fingerprint image acquired by the fingerprint collector is The preset mean range is close to;
  • the fingerprint collector determines whether the variance of the fingerprint image is greater than a preset variance threshold, and the variance of the fingerprint image is in the fingerprint image.
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the variance of the fingerprint image acquired by the fingerprint collector is obtained again.
  • the fingerprint collector outputs the fingerprint image when it is determined that the mean value of the fingerprint image is within a preset mean range and the variance of the fingerprint image is greater than the preset variance threshold.
  • the fingerprint collector further includes: before the step of determining whether the average value of the fingerprint image is within a preset average range:
  • the fingerprint collector determines whether the difference between the mean value of the fingerprint image and the average value of the previously acquired fingerprint image is less than a preset difference value
  • the step of triggering the fingerprint collector to acquire a fingerprint image of the user is triggered.
  • the fingerprint collector determines the mean value of the fingerprint image and the fingerprint image acquired the previous time. Before the step of whether the difference between the means is smaller than the preset difference, the method further includes:
  • the fingerprint collector determines whether the average value of the fingerprint image is greater than a preset detection threshold
  • the fingerprint collector is triggered to acquire a fingerprint image of the user.
  • the fingerprint collector is configured according to the fingerprint
  • the mean value of the image adjusts the gain of the fingerprint collector specifically:
  • the gain of the fingerprint collector is increased by 1, and the value of the center point of the preset mean range is 127 or 128;
  • the mean value of the fingerprint image is greater than a maximum value of the preset mean range, the fingerprint is taken
  • the gain of the collector is reduced by 1;
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, and specifically includes:
  • the method further includes:
  • the fingerprint sensor stores a first correspondence relationship and a second correspondence relationship, where the first correspondence relationship represents a correspondence between a preset average value and a preset gain adjustment value, and the second correspondence relationship represents a preset a correspondence between a predetermined variance and a preset sensitivity adjustment value;
  • the adjusting, by the fingerprint collector, the gain of the fingerprint collector according to the average value of the fingerprint image includes:
  • the fingerprint collector searches for the gain adjustment value corresponding to the mean value of the fingerprint image in the first correspondence relationship
  • the fingerprint collector adjusts the gain of the fingerprint collector according to the obtained gain adjustment value, so that the average value of the fingerprint image acquired by the fingerprint collector is within the preset average range;
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, and specifically includes:
  • the fingerprint collector searches for the sensitivity adjustment value corresponding to the variance of the fingerprint image in the second correspondence relationship
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the found sensitivity adjustment value, so that the variance of the fingerprint image acquired by the fingerprint collector is greater than the preset variance threshold.
  • a second aspect of the embodiments of the present invention provides a fingerprint collector, including:
  • An obtaining module configured to acquire a fingerprint image of the user
  • a first determining module configured to determine whether an average value of the fingerprint image acquired by the acquiring module is within a preset average value, and an average value of the fingerprint image is an average value of pixel values of each pixel in the fingerprint image;
  • a gain adjustment module configured to: when the first determining module determines that the average value of the fingerprint image is not within a preset average range, adjust a gain of the fingerprint collector according to an average value of the fingerprint image, so that the acquiring module acquires again The mean value of the fingerprint image is close to the preset mean range;
  • a second determining module configured to: when the first determining module determines that the average value of the fingerprint image is within a preset average range, determine whether a variance of the fingerprint image is greater than a preset variance threshold, where a variance of the fingerprint image is The variance of the pixel values of each pixel in the fingerprint image;
  • a sensitivity increasing module configured to: when the second determining module determines that the variance of the fingerprint image is less than the preset variance threshold, increase the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the acquiring module The variance of the fingerprint image acquired again increases;
  • an output module configured to: when the first determining module determines that an average value of the fingerprint image is within a preset average range and the second determining module determines that a variance of the fingerprint image is greater than the preset variance threshold, outputting the acquiring The fingerprint image obtained by the module.
  • the fingerprint collector further includes:
  • a third determining module configured to determine whether a difference between an average value of the fingerprint image acquired by the acquiring module and a mean value of the previously acquired fingerprint image is less than a preset difference value
  • a first triggering module configured to trigger the first determining module when the third determining module determines that the preset difference value is less than
  • the second triggering module is configured to trigger the acquiring module when the third determining module determines that the preset difference is greater than the preset difference.
  • the fingerprint collector further includes:
  • a fourth determining module configured to determine whether an average value of the fingerprint image acquired by the acquiring module is greater than a preset detection threshold
  • a third triggering module configured to trigger the third determining module when the fourth determining module determines that the threshold is greater than the preset detection threshold
  • the fourth triggering module is configured to trigger the acquiring module when the fourth determining module determines that the threshold is less than the preset detection threshold.
  • the gain adjustment module specifically includes:
  • a gain increasing unit configured to: when the first determining module determines that the mean value of the fingerprint image is smaller than When the minimum value of the preset mean range is described, the gain of the fingerprint collector is increased by 1, and the value of the center point of the preset mean range is 127 or 128;
  • a gain reduction unit configured to reduce a gain of the fingerprint collector by one when a mean value of the fingerprint image is greater than a maximum value of the preset mean range
  • the sensitivity increasing module is specifically configured to increase the sensitivity of the fingerprint collector by one when the second determining module determines that the variance of the fingerprint image is less than the preset variance threshold.
  • the fingerprint collector further includes:
  • a storage module configured to store a first correspondence relationship and a second correspondence relationship, where the first correspondence relationship represents a correspondence between a preset average value and a preset gain adjustment value, where the second correspondence relationship indicates a correspondence between the set variance and a preset sensitivity adjustment value;
  • the gain adjustment module specifically includes:
  • a gain finding unit configured to search, in a first correspondence stored by the storage module, a gain adjustment value corresponding to an average value of the fingerprint image
  • a gain adjustment unit configured to adjust a gain of the fingerprint collector according to the gain adjustment value found by the gain finding unit, so that an average value of the fingerprint image acquired by the acquiring module is within the preset average range
  • the sensitivity increasing module specifically includes:
  • a sensitivity searching unit configured to search, in a second correspondence stored by the storage module, a sensitivity adjustment value corresponding to a variance of the fingerprint image
  • the sensitivity increasing unit is configured to increase the sensitivity of the fingerprint collector according to the sensitivity adjustment value found by the sensitivity searching unit, so that the variance of the fingerprint image acquired by the acquiring module is greater than the preset variance threshold.
  • a third aspect of the embodiments of the present invention provides a terminal, including:
  • Fingerprint sensor output device, memory and processor
  • the fingerprint sensor is configured to acquire a fingerprint image of a user
  • the processor is configured to perform the following steps by invoking an operation instruction stored by the memory:
  • the mean value of the fingerprint image is an average value of pixel values of each pixel point in the fingerprint image
  • the variance of the fingerprint image is greater than a preset variance threshold, and the variance of the fingerprint image is a variance of a pixel value of each pixel in the fingerprint image;
  • the output device When it is determined that the mean value of the fingerprint image is within a preset average range and the variance of the fingerprint image is greater than the preset variance threshold, the output device is instructed to output the fingerprint image.
  • the step of determining whether the average value of the fingerprint image acquired by the fingerprint sensor is within a preset average range is performed.
  • the processor was further configured to perform the following steps:
  • the fingerprint sensor is instructed to acquire the fingerprint image of the user again.
  • determining the mean value of the fingerprint image and the mean value of the previously acquired fingerprint image is further configured to perform the following steps before the step of whether the difference is less than the preset difference:
  • the fingerprint sensor is instructed to acquire the fingerprint image of the user again.
  • the processor when performing the fingerprint image according to the fingerprint
  • the processor specifically performs the following steps:
  • the gain of the fingerprint sensor is increased by 1, and the value of the center point of the preset mean range is 127 or 128;
  • the processor specifically performs the following steps:
  • the memory is further used for storing a correspondence relationship indicating a correspondence between a preset average value and a preset gain adjustment value, the second correspondence relationship indicating a preset variance and a preset Corresponding relationship between the determined sensitivity adjustment values;
  • the processor specifically performs the following steps:
  • the processor specifically performs the following steps:
  • a fourth aspect of an embodiment of the present invention provides a computer readable storage medium storing one or more programs, the one or more programs including instructions when executed by a portable electronic device including a plurality of applications Causing the portable electronic device to perform according to the first aspect to the first aspect Implementation of any of the four implementations.
  • the embodiment of the present invention has the following advantages: after the fingerprint collector acquires the fingerprint image of the user in the embodiment of the present invention, if the average value of the fingerprint image is not within the preset average range, the fingerprint is automatically The gain of the collector is adjusted so that the mean value of the acquired fingerprint image is close to the preset mean range, and if the mean value of the fingerprint image is within a preset average range and the variance of the fingerprint image is less than the preset variance threshold, It will automatically increase the sensitivity of the fingerprint collector, so that the variance of the fingerprint collector will increase. Only the fingerprint with the mean value within the preset mean range and the variance greater than the preset variance threshold will be output.
  • the parameter adjustment ensures that the mean and variance of the collected fingerprint images are within the required quality range, so that the fingerprint sensor can adapt to the dryness and wetness of the fingers of all users or the same user at any time, and the image collected by the fingerprint collector is improved.
  • the quality has increased the success rate of fingerprint sensor verification.
  • FIG. 1 is a schematic flowchart of a method for collecting a fingerprint according to an embodiment of the present invention
  • FIG. 2 is another schematic flowchart of a method for collecting a fingerprint according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram showing an example of a fingerprint image acquired by a fingerprint collector according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram of an effect of variance size on image contrast in an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a fingerprint collector according to an embodiment of the present invention.
  • FIG. 7 is another schematic structural diagram of a fingerprint collector according to an embodiment of the present invention.
  • FIG. 8 is another schematic structural diagram of a fingerprint collector according to an embodiment of the present invention.
  • FIG. 9 is another schematic structural diagram of a fingerprint collector according to an embodiment of the present invention.
  • FIG. 10 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
  • an embodiment of a method for collecting a fingerprint in an embodiment of the present invention includes:
  • the fingerprint collector acquires a fingerprint image of the user.
  • the fingerprint collector senses that the user's finger is pressed on the fingerprint collector, the fingerprint image of the user is acquired.
  • the fingerprint collector determines whether an average value of the fingerprint image is within a preset average range
  • the fingerprint collector After the fingerprint collector obtains the fingerprint image of the user, it is determined whether the average value of the acquired fingerprint image is within a preset average range, wherein the average value of the fingerprint image is an average value of pixel values of each pixel in the fingerprint image;
  • the average value of the fingerprint image mainly affects the black and white degree of the fingerprint image. If the average value of the fingerprint image is too large, the fingerprint image as a whole will be too white. If the average value of the fingerprint image is too small, the fingerprint image as a whole will pass. Black, therefore, to ensure that the captured fingerprint image can be identified, first ensure that the average value of the fingerprint image is within the preset average range, so that the captured fingerprint image will not be too dark or too white, and easier to identify.
  • the value of the pixel value ranges from 0 to 255. Therefore, in general, the center point of the preset average range can be 127 or 128. Of course, in practical applications, the preset is based on the performance of the fingerprint collector and the user requirements.
  • the mean value range can adopt more other center points, and the range can also have a plurality of values, for example, a positive or negative deviation from the center point 20, or a positive or negative deviation from the center point 35, etc., which is not limited herein.
  • the fingerprint collector adjusts a gain of the fingerprint collector according to an average value of the fingerprint image, so that an average value of the fingerprint image acquired by the fingerprint collector is obtained. Approaching the preset mean range;
  • adjusting the gain of the fingerprint collector can affect the average value of the fingerprint image collected by the fingerprint collector. Specifically, increasing the gain of the fingerprint collector can increase the average value of the fingerprint image acquired again. Reducing the gain of the fingerprint collector can reduce the mean value of the fingerprint image acquired again. Therefore, when it is determined that the mean value of the fingerprint image is not within the preset average range, the fingerprint collector can adjust the gain of the fingerprint collector according to the comparison between the average value of the currently acquired fingerprint image and the preset average range, thereby making the fingerprint The average value of the fingerprint image acquired by the collector is closer to the preset average range, and finally the average value of the acquired fingerprint image is adjusted to the preset average range. The average value of the fingerprint image acquired by the fingerprint collector is approached to the preset average range, and the quantity is obtained. In relation, it is the absolute value of the difference between the mean value of the fingerprint image acquired again and the center point of the preset mean range.
  • the fingerprint collector determines whether a variance of the fingerprint image is greater than a preset variance threshold
  • the fingerprint collector determines whether the variance of the fingerprint image is greater than a preset variance threshold, wherein the variance of the fingerprint image is the pixel value of each pixel in the fingerprint image. variance.
  • the magnitude of the variance of the fingerprint image mainly affects the contrast of the fingerprint image (ie, the distinction between black and white). If the variance of the fingerprint image is too small, the contrast of the fingerprint image is not high and is difficult to recognize. Therefore, if the captured fingerprint image can be identified, ensure that the mean value of the fingerprint image is within the preset mean range, and also ensure that the variance of the fingerprint image is greater than the preset variance threshold. Thus, the captured image is black and white, and more Easy to identify and perform fingerprint verification.
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the fingerprint image acquired by the fingerprint collector is acquired again. Increase in variance;
  • the fingerprint collector increases the sensitivity of the fingerprint collector, thereby increasing the variance of the fingerprint image acquired by the fingerprint collector again, and finally obtaining the acquired again.
  • the variance of the fingerprint image is greater than the preset variance threshold.
  • the fingerprint collector When it is determined that the average value of the fingerprint image is within a preset average range and the variance of the fingerprint image is greater than the preset variance threshold, the fingerprint collector outputs the fingerprint image.
  • the fingerprint collector outputs the fingerprint image for fingerprint verification only when the average value of the acquired fingerprint image is within the preset average range and the variance of the fingerprint image is greater than the preset variance threshold.
  • the processing condition that the variance of the fingerprint image is equal to the preset variance threshold is related to the value of the preset variance threshold.
  • the fingerprint image may be set according to the difference of the preset variance threshold.
  • step 105 is performed, and the variance of the fingerprint image is set to be equal to the preset variance threshold.
  • Step 106 is performed, which is not limited herein.
  • step 103 when it is determined that the average value of the fingerprint image is not within the preset average range, step 103 needs to be performed to adjust the gain of the fingerprint collector, and then step 101 is performed again to obtain the fingerprint image;
  • step 105 is performed to increase the sensitivity of the fingerprint collector, and then step 101 is performed again to acquire the fingerprint image.
  • the acquisition is performed again.
  • the variance of the fingerprint image is within the preset mean range and the variance is greater than the preset variance threshold, the fingerprint image that satisfies the requirement is output.
  • the gain of the fingerprint collector is automatically adjusted, so that the average value of the fingerprint image acquired again is obtained.
  • the sensitivity of the fingerprint collector is automatically increased, so that the fingerprint collector is The variance increases accordingly. Only the mean value is within the preset mean range, and the fingerprint image with the variance greater than the preset variance threshold is output.
  • the adaptive parameter adjustment ensures that the mean and variance of the captured fingerprint image are both Within the required quality range, the fingerprint sensor can adapt to the dryness and wetness of the finger of any user or the same user at any time, improve the quality of the image collected by the fingerprint collector, and increase the success rate of the fingerprint sensor verification.
  • the fingerprint collector After the fingerprint collector obtains the fingerprint image, it is first determined whether the average value of the fingerprint image is within the preset average range. In the actual application, before determining whether the average value of the fingerprint image is within the preset average range, the fingerprint is collected.
  • the method for determining the stability of the fingerprint image and the amount of the data may be determined first, and then the subsequent operations are performed after the requirements are met.
  • the method for collecting the fingerprint in the embodiment of the present invention is specifically described below. Referring to FIG. 2, the method is collected in the embodiment of the present invention.
  • Another embodiment of the method of fingerprinting includes:
  • the fingerprint collector acquires a fingerprint image of the user.
  • the average value of the obtained fingerprint image and the variance of the fingerprint image can be calculated:
  • the mean value of the fingerprint image is the mean value of the pixel values of each pixel in the fingerprint image, and the calculation formula may be: Where n is the number of pixel points in the fingerprint image, a n represents the pixel value of the nth pixel point in the fingerprint image, and A n represents the mean value of the pixel values of the fingerprint image of the n pixel points.
  • the variance of the fingerprint image is the variance of the pixel values of each pixel in the fingerprint image, and the calculation formula may be Where n is the number of pixels in the fingerprint image, s represents the variance of the fingerprint image, x n represents the pixel value of the nth pixel in the fingerprint image, and x represents the calculated mean value of the fingerprint image.
  • the fingerprint collector determines whether an average value of the fingerprint image is greater than a preset detection threshold.
  • the fingerprint collector After obtaining the fingerprint image of the user, the fingerprint collector determines whether the average value of the fingerprint image is greater than a preset detection threshold
  • step 203 is triggered;
  • step 201 is triggered.
  • the processing condition when the average value of the fingerprint image is equal to the preset detection threshold is related to the value of the preset detection threshold.
  • the triggering step is performed. 203.
  • the step 201 is triggered, which is not limited herein.
  • an example of the fingerprint image acquired by the fingerprint collector changes with time. It can be seen that placing the finger on the fingerprint sensor is a continuous process. In the process, the fingerprint sensor can collect many fingerprint images. When the user's finger has just been placed on the fingerprint sensor and has not been completely touched, although the fingerprint sensor can acquire the fingerprint image, the acquired image may not have enough data amount and cannot be used for fingerprint recognition, so the fingerprint is determined. If the average value of the image is greater than the preset detection threshold, the subsequent steps are performed. If the fingerprint is smaller than the preset detection preset, the fingerprint image is re-acquired, which improves the working efficiency of the fingerprint collector.
  • the fingerprint collector determines whether a difference between an average value of the fingerprint image and a mean value of a previously acquired fingerprint image is less than a preset difference value
  • the image acquired by the fingerprint collector has a gradual process, firstly, there is not enough fingerprint data when there is no complete contact, and then after full contact A stable fingerprint image that reflects the user's finger condition. As time goes by, the finger will start to sweat, and then the image will be blacked out. The acquired fingerprint image cannot be reflected. The true state of the fingerprint, therefore, the timing of acquiring the fingerprint image is also critical if a quality fingerprint image is to be acquired.
  • the timing of acquiring the fingerprint image is determined by determining whether the difference between the mean value of the fingerprint image and the mean value of the previously acquired fingerprint image is less than the preset difference value during the image gradation process.
  • step 204 can be triggered;
  • step 201 may be triggered to collect the next picture and then re-determine.
  • the processing condition when the difference between the mean values is equal to the preset difference value is related to the value of the preset difference value.
  • the step 204 is triggered. It is also possible to set the triggering step 201 when the difference between the average values is equal to the preset difference value, which is not limited herein.
  • the step 201 can be directly triggered, and the next picture is collected and then re-judged. .
  • the fingerprint collector determines whether an average value of the fingerprint image is within a preset average range
  • the fingerprint collector determines that the difference between the average value of the acquired fingerprint image and the average value of the previously acquired fingerprint image is less than the preset difference, indicating that the acquired fingerprint image can be more realistic than the real fingerprint, the fingerprint collection is performed.
  • the device determines whether the mean value of the fingerprint image is within a preset average range.
  • step 206 is triggered.
  • the average value of the fingerprint image mainly affects the black and white degree of the fingerprint image. If the average value of the fingerprint image is too large, the fingerprint image as a whole will be too white. If the average value of the fingerprint image is too small, the fingerprint image as a whole will pass.
  • Black as shown in Figure 4, is an effect diagram of the effect of the mean size on the black and white degree of the image. It can be seen that the image is too white when the mean value is 224, and the fingerprint is difficult to identify. When the average value is 127 or 128, the image is black and white, and the fingerprint is suitable.
  • the captured fingerprint image can be identified, therefore, to ensure that the captured fingerprint image can be identified, first ensure that the average value of the fingerprint image is within the preset average range, so that the captured fingerprint image will not be too dark or too white, easier Identification.
  • the value of the pixel value ranges from 0 to 255. Therefore, in general, the center point of the preset average range can be 127 or 128. Of course, in practical applications, the preset is based on the performance of the fingerprint collector and the user requirements. Mean range can be used more There are many other central points, and the range can also be varied. For example, the positive or negative deviation from the center point is 20, or the positive or negative deviation from the center point is 35, which is not limited herein.
  • the fingerprint collector adjusts a gain of the fingerprint collector according to an average value of the fingerprint image, so that an average value of the fingerprint image acquired by the fingerprint collector is closer to the preset average range;
  • the fingerprint collector adjusts the gain of the fingerprint collector according to the average value of the fingerprint image, so that the average value of the fingerprint image acquired by the fingerprint collector is The preset mean range is close.
  • the fingerprint collector can compare the mean value of the fingerprint graphic with the maximum value and the minimum value of the preset average range, when the average value of the fingerprint image is less than the preset average value.
  • the gain of the fingerprint collector is increased by 1.
  • the gain of the fingerprint collector is decreased by one.
  • the fingerprint sensor may pre-store a first correspondence relationship and a second correspondence relationship, where the first correspondence relationship represents a preset average value and a preset gain adjustment.
  • the first correspondence relationship represents a preset average value and a preset gain adjustment.
  • the second correspondence relationship represents a correspondence between a preset variance and a preset sensitivity adjustment value, wherein the variance is inversely proportional to the sensitivity adjustment value layer
  • the correspondence may be a correspondence between direct values or a function relationship, which is not limited herein.
  • the fingerprint collector when it adjusts the gain, it may first search for the gain adjustment value corresponding to the mean value of the fingerprint image in the first correspondence relationship; and then adjust the gain of the fingerprint collector according to the found gain adjustment value, so that the fingerprint collector The average of the fingerprint images acquired again is within the preset average range.
  • the fingerprint collector determines whether a variance of the fingerprint image is greater than a preset variance threshold.
  • the fingerprint collector determines whether the variance of the fingerprint image is greater than a preset variance threshold
  • step 207 is triggered;
  • step 208 is triggered.
  • the processing condition that the variance of the fingerprint image is equal to the preset variance threshold is related to the value of the preset variance threshold. In actual applications, according to the difference of the preset variance threshold, the value may be different. Step 208 is performed when the variance of the fingerprint image is equal to the preset variance threshold, and step 208 is performed when the variance of the fingerprint image is equal to the preset variance threshold.
  • the magnitude of the variance of the fingerprint image mainly affects the contrast of the fingerprint image (ie, the distinction between black and white). If the variance of the fingerprint image is too small, the contrast of the fingerprint image is not high and is difficult to recognize. As shown in FIG. 5, an effect diagram of the effect of the variance size on the contrast of the image. When the variance of the left image is small, the black and white contrast is not obvious, and it is difficult to recognize the fingerprint. After the right side variance is increased, the black and white contrast in the image is significant, which is relatively easy. Identify the fingerprint. Therefore, if the captured fingerprint image can be identified, ensure that the mean value of the fingerprint image is within the preset mean range, and also ensure that the variance of the fingerprint image is greater than the preset variance threshold. Thus, the captured image is black and white, and more Easy to identify and perform fingerprint verification.
  • the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the variance of the fingerprint image acquired by the fingerprint collector is increased.
  • the fingerprint collector When it is determined that the variance of the fingerprint image is smaller than the preset variance threshold, the fingerprint collector increases the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the variance of the fingerprint image acquired by the fingerprint collector is increased. Big.
  • the sensitivity of the fingerprint collector may be directly increased by 1; if the variance of the acquired next fingerprint image is still less than the preset variance threshold, the sensitivity of the fingerprint collector is again increased by 1 until acquired.
  • the variance of the fingerprint image is greater than the preset variance threshold.
  • the fingerprint collector may first search in the second correspondence.
  • the sensitivity adjustment value corresponding to the variance of the fingerprint image is further increased according to the found sensitivity adjustment value, so that the variance of the fingerprint image acquired by the fingerprint collector is greater than the preset variance threshold.
  • the fingerprint collector outputs the fingerprint image.
  • step 204 and step 206 If the conditions are satisfied in the judgments of step 204 and step 206, it is determined that the mean value of the fingerprint image is Within the preset mean range and the variance of the fingerprint image is greater than the preset variance threshold, the fingerprint collector outputs the fingerprint image for fingerprint verification.
  • the processing condition that the variance of the fingerprint image is equal to the preset variance threshold is related to the value of the preset variance threshold.
  • the fingerprint image may be set according to the difference of the preset variance threshold.
  • step 207 is performed, and step 208 may be performed when the variance of the fingerprint image is equal to the preset variance threshold, which is not limited herein.
  • determining whether the fingerprint image has sufficient information amount and whether the fingerprint image can stably represent the true fingerprint condition is determined only in the fingerprint.
  • the mean value of the image is greater than the preset detection threshold, indicating that there is sufficient data volume, and the difference between the mean value of the previous fingerprint image is less than the preset difference, indicating that the fingerprint image can stably represent the real fingerprint condition, and then determining the time It is the best time to capture the image.
  • the obtained fingerprint image is subsequently judged, and the condition is output. If the condition is not met, the gain or sensitivity of the fingerprint collector is adaptively adjusted until the fingerprint image satisfying the condition is obtained and then output.
  • the tracking method by implementing the tracking method, the best timing of capturing pictures can be found, the accuracy of the fingerprint image collected by the fingerprint collector can be improved, the fingerprint collector can obtain the best image, and the adaptive parameter adjustment is adopted on the other hand. , automatically obtain the fingerprint image with the image quality meeting the requirements, and solve the finger stick or the wet The group is not easy to verify the problem and improve the success rate of fingerprint authentication, to enhance the performance of human-computer interaction fingerprint collector.
  • the fingerprint collector obtains the fingerprint image, and the average value of the fingerprint image is calculated to be 25, which is less than the preset detection threshold 40;
  • Re-acquiring the fingerprint image, calculating the average value of the re-acquired fingerprint image is 37, less than the preset detection preset 40;
  • Re-acquiring the fingerprint image, calculating the average value of the re-acquired fingerprint image is 77, which is greater than the preset detection threshold 40;
  • the fingerprint collector determines that the difference between the mean value 77 and the average value 37 of the previously acquired fingerprint image is not less than the preset difference value 20;
  • Re-acquire the fingerprint image calculate the average value of the re-acquired fingerprint image is 85, which is greater than the preset Detection threshold 40;
  • the fingerprint collector determines that the difference between the mean value 85 and the average value 77 of the previously acquired fingerprint image is less than the preset difference value 20;
  • the fingerprint collector determines that the average value 85 of the fingerprint image is not within the preset average range of 100 to 156;
  • the fingerprint collector increases the gain by 1, re-acquires the fingerprint image, and calculates the average value of the re-acquired fingerprint image is 110, which is greater than the preset detection threshold 40;
  • the fingerprint collector determines that the difference between the mean value 110 and the mean value 85 of the previously acquired fingerprint image is not less than the preset difference value 20;
  • Re-acquiring the fingerprint image, calculating the average value of the re-acquired fingerprint image is 118, which is greater than the preset detection threshold 40;
  • the fingerprint collector determines that the difference between the mean value 118 and the mean value of the previously acquired fingerprint image 8 is less than the preset difference value 20;
  • the fingerprint collector determines that the average value 118 of the fingerprint image is within a preset average range of 100 to 156;
  • the fingerprint collector calculates a variance of the fingerprint image of 30, and determines that the variance 30 of the fingerprint image is not greater than a preset variance threshold 50;
  • the fingerprint collector searches for the correspondence between the variance and the sensitivity adjustment value, increases the sensitivity by 2 according to the found sensitivity adjustment value, reacquires the fingerprint image, and calculates the average value of the re-acquired fingerprint image is 120, which is greater than the preset detection threshold. 40;
  • the fingerprint collector determines that the difference between the mean value 120 and the average value 118 of the previously acquired fingerprint image is less than the preset difference value 20;
  • the fingerprint collector determines that the average value 120 of the fingerprint image is within a preset average range of 100 to 156;
  • the fingerprint collector calculates a variance of the fingerprint image of 60, and determines that the variance 60 of the fingerprint image is greater than a preset variance threshold 50;
  • the fingerprint collector outputs the fingerprint image having the mean value 120 within the preset mean range and the variance 60 being greater than the preset variance threshold for fingerprint verification.
  • an embodiment of the fingerprint collector in the embodiment of the present invention includes:
  • the obtaining module 601 is configured to acquire a fingerprint image of the user
  • the first determining module 602 is configured to determine that the average value of the fingerprint image acquired by the acquiring module 601 is No, within the preset average range, the mean value of the fingerprint image is an average value of pixel values of each pixel point in the fingerprint image;
  • the gain adjustment module 603 is configured to: when the first determining module 602 determines that the average value of the fingerprint image is not within a preset average range, adjust a gain of the fingerprint collector according to an average value of the fingerprint image, so that the acquiring module 601 The mean value of the fingerprint image acquired again is close to the preset mean range;
  • the second determining module 604 is configured to: when the first determining module 602 determines that the average value of the fingerprint image is within a preset average range, determine whether the variance of the fingerprint image is greater than a preset variance threshold, and the variance of the fingerprint image is a variance of pixel values of each pixel in the fingerprint image;
  • the sensitivity increasing module 605 is configured to: when the second determining module 604 determines that the variance of the fingerprint image is less than the preset variance threshold, increase the sensitivity of the fingerprint collector according to the variance of the fingerprint image, so that the The variance of the fingerprint image acquired by the obtaining module 601 is increased;
  • the output module 606 is configured to: when the first determining module 602 determines that the average value of the fingerprint image is within a preset average range and the second determining module 604 determines that the variance of the fingerprint image is greater than the preset variance threshold, the output module 602 outputs The fingerprint image acquired by the obtaining module 601.
  • the second judging module 604 determines that the processing condition that the variance of the fingerprint image is equal to the preset variance threshold is related to the value of the preset variance threshold.
  • the second determining module 604 may be configured to determine the trigger sensitivity increasing module 605 when the variance of the fingerprint image is equal to the preset variance threshold, or may be configured to trigger the output module 606 when the second determining module 604 determines that the variance of the fingerprint image is equal to the preset variance threshold. This is not limited here.
  • the gain adjusting module 603 automatically adjusts the gain of the fingerprint collector.
  • the sensitivity increasing module 605 also automatically increases the sensitivity of the fingerprint collector, so that the variance of the fingerprint collector increases, and only the fingerprint whose mean is within the preset mean range and whose variance is greater than the preset variance threshold
  • the image will be output, so that the adaptive parameter adjustment ensures that the mean and variance of the captured fingerprint image are within the required quality range, so that the fingerprint sensor can adapt to all users or the same user at any time.
  • the degree of dryness and humidity improves the quality of images collected by the fingerprint collector and increases the fingerprint sensor. The success rate of the card.
  • the first determining module 602 first determines whether the average value of the fingerprint image is within a preset average range. In an actual application, the first determining module 602 determines whether the average value of the fingerprint image is Before the preset average range, the fingerprint collector can first determine the stability and the amount of data of the fingerprint image, and determine the requirements to meet the requirements before performing the subsequent operations. The following describes the fingerprint collector in the embodiment of the present invention.
  • FIG. 7 is another embodiment of a fingerprint collector according to an embodiment of the present invention. The fingerprint collector further includes:
  • the third determining module 701 is configured to determine whether the difference between the average value of the fingerprint image acquired by the acquiring module 601 and the average value of the fingerprint image acquired last time is less than a preset difference value;
  • the first triggering module 702 is configured to trigger the first determining module 602 when the third determining module 701 determines that the preset difference value is less than
  • the second triggering module 703 is configured to trigger the acquiring module 601 when the third determining module 701 determines that the preset difference value is greater than
  • the third determining module 701 determines that the processing condition when the difference between the mean values is equal to the preset difference value is related to the value of the preset difference value.
  • the third determining module 701 may be configured to determine the mean value.
  • the first triggering module 702 is triggered by the first triggering module 702
  • the third determining module 701 is configured to determine that the difference between the averages is equal to the preset difference
  • the second triggering module 703 triggers the acquiring module. 601, here is not limited.
  • the fingerprint collector may further include:
  • the fourth determining module 704 is configured to determine whether the average value of the fingerprint image acquired by the acquiring module 601 is greater than a preset detection threshold
  • the third triggering module 705 is configured to trigger the third determining module 701 when the fourth determining module 704 determines that the preset detecting threshold is greater than
  • the fourth triggering module 706 is configured to trigger the acquiring module 601 when the fourth determining module 704 determines that the threshold is less than the preset detection threshold;
  • the fourth determining module 704 determines that the processing condition when the average value of the fingerprint image is equal to the preset detection threshold is related to the value of the preset detection threshold.
  • the fourth determining module 704 may be configured to determine the fingerprint.
  • the third triggering module 705 triggers the third determining module 701
  • the fourth determining module 704 may also be configured to determine the mean value of the fingerprint image.
  • the acquiring module 601 is triggered by the fourth triggering module 706, which is not limited herein.
  • the third determining module 701 and the fourth determining module 704 first have sufficient information amount and fingerprint image for the fingerprint image. Whether the actual fingerprint condition can be stably represented is determined. Only the third determining module 701 determines that the average value of the fingerprint image is greater than the preset detection threshold, indicating that there is sufficient data amount, and the fourth determining module 704 determines the last fingerprint. The difference between the mean values of the images is less than the preset difference, indicating that the fingerprint image can stably represent the real fingerprint condition, and then determining that the capture time is the best, the first determining module 602 performs subsequent judgment on the acquired fingerprint image.
  • the tracking method can be used to find the best timing for capturing the image. , improve the accuracy of the fingerprint collector to collect fingerprint images, and enable the fingerprint collector to obtain the best image
  • the fingerprint image with the image quality meeting the requirements is automatically obtained, which solves the problem that the finger stick or the wet person is not easy to verify, improves the success rate of fingerprint verification, and enhances the fingerprint collection. Human-computer interaction performance.
  • the adjustment amount of the gain adjustment by the gain adjustment module 603 and the adjustment amount of the sensitivity adjustment by the sensitivity increasing module 605 can be set to be 1 each time, or in the fingerprint collector.
  • the corresponding relationship between the adjustment amount of the preset and the mean value or the variance is stored, and the amount of adjustment is determined according to the corresponding relationship, which is not limited herein.
  • the gain adjustment module 603 may specifically include:
  • the gain increasing unit 801 is configured to: when the first determining module 602 determines that the average value of the fingerprint image is less than a minimum value of the preset average range, increase the gain of the fingerprint collector by one, and the preset average value The value of the center point of the range is 127 or 128;
  • the gain reducing unit 802 is configured to reduce the gain of the fingerprint collector by 1 when the mean value of the fingerprint image is greater than a maximum value of the preset mean range;
  • the sensitivity increasing module 605 is specifically configured to: when the second determining module 604 determines that the variance of the fingerprint image is less than the preset variance threshold, increase the sensitivity of the fingerprint collector by one.
  • the gain adjustment module 603 and the sensitivity increasing module 605 respectively compare the gain with The amount of sensitivity adjustment is determined to be the minimum unit of 1, which ensures the accuracy of gain adjustment and sensitivity adjustment.
  • the fingerprint collector shown in FIG. 6 or FIG. 7 further includes:
  • the storage module 901 is configured to store a first correspondence relationship and a second correspondence relationship, where the first correspondence relationship represents a correspondence between a preset average value and a preset gain adjustment value, where the second correspondence relationship represents a correspondence between a preset variance and a preset sensitivity adjustment value;
  • the gain adjustment module 603 may specifically include:
  • the gain finding unit 902 is configured to search for a gain adjustment value corresponding to the mean value of the fingerprint image in the first correspondence stored by the storage module 901;
  • the gain adjustment unit 903 is configured to adjust the gain of the fingerprint collector according to the gain adjustment value found by the gain finding unit 902, so that the average value of the fingerprint image acquired by the acquiring module 601 is within the preset average range Inside;
  • the sensitivity increasing module 605 specifically includes:
  • the sensitivity searching unit 904 is configured to search for a sensitivity adjustment value corresponding to the variance of the fingerprint image in the second correspondence stored by the storage module 901;
  • the sensitivity increasing unit 905 is configured to increase the sensitivity of the fingerprint collector according to the sensitivity adjustment value found by the sensitivity searching unit 904, so that the variance of the fingerprint image acquired by the acquiring module 601 is greater than the preset. Variance threshold.
  • the gain adjustment module 603 and the sensitivity increase module 605 determine the adjustment amount each time according to the corresponding relationship stored in the storage module 901, thereby improving the adjustment efficiency and saving the fingerprint collector from acquiring a suitable fingerprint image. time.
  • the acquisition module 601 obtains the fingerprint image, calculates the average value of the fingerprint image is 25, and the fourth determination module 704 determines that the preset detection threshold is less than 40;
  • the obtaining module 601 re-acquires the fingerprint image, calculates the average value of the re-acquired fingerprint image 37, and the fourth determining module 704 determines to be smaller than the preset detection threshold 40;
  • the obtaining module 601 re-acquires the fingerprint image, calculates the average value of the re-acquired fingerprint image 77, and the fourth determining module 704 determines that the preset detection threshold value is greater than 40;
  • the third determining module 701 determines that the difference between the mean value 77 and the average value 37 of the previously acquired fingerprint image is not less than the preset difference value 20;
  • the acquiring module 601 re-acquires the fingerprint image, calculates the average value of the re-acquired fingerprint image is 85, and the fourth determining module 704 determines that it is greater than the preset detection threshold 40;
  • the third determining module 701 determines that the difference between the mean value 85 and the average value 77 of the previously acquired fingerprint image is less than the preset difference value 20;
  • the first determining module 602 determines that the average value 85 of the fingerprint image is not within the preset average range 100 to 156;
  • the gain adjustment module 603 increases the gain by 1, the acquisition module 601 re-acquires the fingerprint image, calculates the average value of the re-acquired fingerprint image is 110, and the fourth determination module determines 704 is greater than the preset detection threshold 40;
  • the third determining module 701 determines that the difference between the mean value 110 and the mean value 85 of the previously acquired fingerprint image is not less than the preset difference value 20;
  • the obtaining module 601 re-acquires the fingerprint image, and calculates the average value of the re-acquired fingerprint image is 118, and the fourth determining module 704 determines that the threshold is greater than the preset detection threshold 40;
  • the third determining module 701 determines that the difference between the mean value 118 and the mean value of the previously acquired fingerprint image 8 is less than the preset difference value 20;
  • the first determining module 602 determines that the average value 118 of the fingerprint image is within a preset average range of 100 to 156;
  • the fingerprint collector calculates the variance of the fingerprint image to be 30, and the second determining module 604 determines that the variance 30 of the fingerprint image is not greater than the preset variance threshold 50;
  • the sensitivity increasing module 605 searches for the correspondence between the variance and the sensitivity adjustment value, increases the sensitivity by 2 according to the found sensitivity adjustment value, and acquires the fingerprint image by the acquiring module 601, and calculates the average value of the re-acquired fingerprint image is 120,
  • the fourth determining module 704 determines to be greater than the preset detection threshold 40;
  • the third determining module 701 determines that the difference between the mean value 120 and the average value 118 of the previously acquired fingerprint image is less than the preset difference value 20;
  • the first determining module 602 determines that the average value 120 of the fingerprint image is in a preset average range of 100 to 156. within;
  • the second judging module 604 calculates the variance of the fingerprint image is 60, and determines that the variance 60 of the fingerprint image is greater than the preset variance threshold 50;
  • the output module 606 outputs the fingerprint image having the mean value 120 within the preset mean range and the variance 60 being greater than the preset variance threshold for fingerprint verification.
  • the above-mentioned fingerprint collector can be a kind of terminal, or can be integrated into a certain terminal as a function module or a physical structure, for example, it can be a card puncher or a mobile phone or a tablet.
  • Functional modules, etc. are not limited here.
  • an embodiment of the terminal 1000 in the embodiment of the present invention includes:
  • the fingerprint sensor 1001, the output device 1002, the processor 1003, and the memory 1004 (wherein the number of the processors 1003 in the terminal 1000 may be one or more, and one processor 1003 in FIG. 10 is taken as an example).
  • the fingerprint sensor 1001, the output device 1002, the processor 1003, and the memory 1004 may be connected by a bus or other manner, wherein FIG. 10 is exemplified by a bus connection;
  • the fingerprint sensor 1001 is configured to acquire a fingerprint image of a user
  • the processor 1003 is configured to perform the following steps by calling an operation instruction stored in the memory 1004:
  • the mean value of the fingerprint image is an average value of pixel values of each pixel point in the fingerprint image
  • the variance of the fingerprint image is greater than a preset variance threshold, and the variance of the fingerprint image is a variance of a pixel value of each pixel in the fingerprint image;
  • the output device 1002 is instructed to output the fingerprint image
  • the processing condition that the variance of the fingerprint image is equal to the preset variance threshold is related to the value of the preset variance threshold.
  • the fingerprint image may be set according to the difference of the preset variance threshold.
  • the step of increasing the sensitivity of the fingerprint sensor when the variance is equal to the preset variance threshold may also be performed when the variance of the fingerprint image is equal to the preset variance threshold, and the outputting of the fingerprint image by the output device 1002 is performed. The steps are not limited here.
  • the processor 1003 before performing the step of determining whether the average value of the fingerprint image acquired by the fingerprint sensor 1001 is within a preset average range, is further configured to perform the following steps:
  • the step of determining whether the average value of the fingerprint image acquired by the fingerprint sensor 1001 is within a preset average range is performed;
  • the fingerprint sensor 1001 When it is determined that the preset difference value is greater than, the fingerprint sensor 1001 is instructed to acquire the fingerprint image of the user again;
  • the processing condition when the difference between the mean values is equal to the preset difference value is related to the value of the preset difference value.
  • the determination is performed.
  • the step of whether the average value of the fingerprint image acquired by the fingerprint sensor 1001 is within a preset average range may also be configured to perform the indication that the fingerprint sensor 1001 acquires the fingerprint of the user again when the difference between the average values is equal to the preset difference value.
  • the steps of the image are not limited herein.
  • the processor 1003 before performing the step of determining whether the difference between the mean value of the fingerprint image and the average value of the previously acquired fingerprint image is less than a preset difference value, the processor 1003 is further configured to perform the following step:
  • the fingerprint sensor 1001 When it is determined that the preset detection threshold is smaller than the preset detection threshold, the fingerprint sensor 1001 is instructed to acquire the fingerprint image of the user again;
  • the processing condition when the mean value of the fingerprint image is equal to the preset detection threshold is related to the value of the preset detection threshold.
  • the execution manner may be performed. Determining whether the difference between the mean value of the fingerprint image and the mean value of the previously acquired fingerprint image is less than a preset difference value, or setting the fingerprint to be performed when the mean value of the fingerprint image is equal to the preset detection threshold.
  • the step of acquiring the fingerprint image of the user by the sensor 1001 is not limited herein.
  • the processor 1003 when the step of adjusting the gain of the fingerprint sensor 1001 according to the mean value of the fingerprint image is performed, the processor 1003 specifically performs the following steps:
  • the gain of the fingerprint sensor is increased by 1, and the value of the center point of the preset mean range is 127 or 128;
  • the gain of the fingerprint sensor 1001 is decreased by 1;
  • the processor 1003 specifically performs the following steps:
  • the memory 1004 is further configured to store a first correspondence relationship and a second correspondence relationship, where the first correspondence relationship represents between a preset average value and a preset gain adjustment value.
  • the second correspondence relationship represents a correspondence between a preset variance and a preset sensitivity adjustment value;
  • the processor 1003 specifically performs the following steps:
  • the processor 1003 specifically performs the following steps:
  • Embodiments of the present invention also include a computer readable storage medium storing one or more programs, the one or more programs including instructions that, when executed by a portable electronic device including a plurality of applications, cause the The portable electronic device performs the method of acquiring a fingerprint as shown in any of the embodiments corresponding to FIG. 1 or FIG.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes.

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Abstract

本发明实施例公开了一种采集指纹的方法、指纹采集器以及终端,用于提高指纹采集器采集图像的质量,从而增加指纹传感器验证的成功率。本发明实施例方法包括:指纹采集器获取到用户的指纹图像后,若该指纹图像的均值不在预置均值范围内,会自动的对指纹采集器的增益进行调整,使再次获取到的指纹图像的均值向所述预置均值范围靠近,若该指纹图像的均值在预置均值范围内而该指纹图像的方差小于预置方差阈值,也会自动的增大指纹采集器的灵敏度,使得指纹采集器的方差随之增大,只有均值在预置均值范围内,方差大于预置方差阈值的指纹图像才会被输出。

Description

一种采集指纹的方法、指纹采集器以及终端 技术领域
本发明涉及图像处理领域,尤其涉及一种采集指纹的方法、指纹采集器以及终端。
背景技术
指纹采集器是利用人的指纹具各不相同的特点进行身份识别的一种精密电子仪器,主要用于采集人的指纹进行身份验证。然而指纹的干湿手指问题,一直是影响指纹采集器验证成功率的头号问题,例如在冬天干燥或者夏天湿润的时候时,由于手指过干或者过湿,指纹采集器难以获取较好的指纹图像。
目前,指纹采集器一般是通过人工调好几组参数,例如干、正常、湿三套参数来抓取指纹,然后通过算法选出最好的一张。
然而,采用设定好的几组参数来对指纹进行抓取,无法适应所有用户或者同一用户在任意时刻手指的干湿程度,还是容易出现因为采图质量差而验证不成功的情况。
发明内容
本发明实施例提供了一种采集指纹的方法、指纹采集器以及终端,用于提高指纹采集器采集图像的质量,从而增加指纹传感器验证的成功率。
本发明实施例第一方面提供了一种采集指纹的方法,包括:
指纹采集器获取用户的指纹图像;
所述指纹采集器判断指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
当确定所述指纹图像的均值不在预置均值范围内时,所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值向所述预置均值范围靠近;
当确定所述指纹图像的均值在预置均值范围内时,所述指纹采集器判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中 各像素点的像素值的方差;
当确定所述指纹图像的方差小于所述预置方差阈值时,所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差增大;
当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,所述指纹采集器输出所述指纹图像。
结合本发明实施例的第一方面,本发明实施例第一方面的第一种实现方式中,所述指纹采集器判断指纹图像的均值是否在预置均值范围内的步骤之前还包括:
所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
当确定小于所述预置差值时,触发所述指纹采集器判断指纹图像的均值是否在预置均值范围内的步骤;
当确定大于所述预置差值时,触发所述指纹采集器获取用户的指纹图像的步骤。
结合本发明实施例第一方面的第一种实现方式,本发明实施例第一方面的第二种实现方式中,所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤之前还包括:
所述指纹采集器判断所述指纹图像的均值是否大于预置检测阈值;
当确定大于所述预置检测阈值时,触发所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤;
当确定小于所述预置检测阈值时,触发所述指纹采集器获取用户的指纹图像的步骤。
结合本发明实施例的第一方面至第一方面的第二种实现方式中任一种实现方式,本发明实施例第一方面的第三种实现方式中,所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益具体包括:
当所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹采集器的增益增加1,所述预置均值范围的中心点的值为127或128;
当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹采 集器的增益减小1;
所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度具体包括:
将所述指纹采集器的灵敏度增加1。
结合本发明实施例的第一方面至第一方面的第二种实现方式中任一种实现方式,本发明实施例第一方面的第四种实现方式中,所述方法还包括:
所述指纹传感器存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益具体包括:
所述指纹采集器在所述第一对应关系中查找所述指纹图像的均值对应的增益调节值;
所述指纹采集器按照查找到的所述增益调节值,调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值在所述预置均值范围内;
所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度具体包括:
所述指纹采集器在所述第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
所述指纹采集器按照查找到的所述灵敏度调节值,增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差大于所述预置方差阈值。
本发明实施例第二方面提供了一种指纹采集器,包括:
获取模块,用于获取用户的指纹图像;
第一判断模块,用于判断所述获取模块获取的指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
增益调整模块,用于当所述第一判断模块确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整指纹采集器的增益,使得所述获取模块再次获取的指纹图像的均值向所述预置均值范围靠近;
第二判断模块,用于当所述第一判断模块确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
灵敏度增大模块,用于当所述第二判断模块确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述获取模块再次获取的指纹图像的方差增大;
输出模块,用于当所述第一判断模块确定所述指纹图像的均值在预置均值范围内且所述第二判断模块确定指纹图像的方差大于所述预置方差阈值时,输出所述获取模块获取的指纹图像。
结合本发明实施例的第二方面,本发明实施例第二方面的第一种实现方式中,所述指纹采集器还包括:
第三判断模块,用于判断所述获取模块获取的指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
第一触发模块,用于当所述第三判断模块确定小于所述预置差值时,触发所述第一判断模块;
第二触发模块,用于当所述第三判断模块确定大于所述预置差值时,触发所述获取模块。
结合本发明实施例第二方面的第一种实现方式,本发明实施例第二方面的第二种实现方式中,所述指纹采集器还包括:
第四判断模块,用于判断所述获取模块获取的指纹图像的均值是否大于预置检测阈值;
第三触发模块,用于当所述第四判断模块确定大于所述预置检测阈值时,触发所述第三判断模块;
第四触发模块,用于当所述第四判断模块确定小于所述预置检测阈值时,触发所述获取模块。
结合本发明实施例的第二方面至第二方面的第二种实现方式中任一种实现方式,本发明实施例第二方面的第三种实现方式中,所述增益调整模块具体包括:
增益增加单元,用于当所述第一判断模块确定所述指纹图像的均值小于所 述预置均值范围的最小值时,将所述指纹采集器的增益增加1,所述预置均值范围的中心点的值为127或128;
增益减小单元,用于当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹采集器的增益减小1;
所述灵敏度增大模块具体用于,当所述第二判断模块确定所述指纹图像的方差小于所述预置方差阈值时,将所述指纹采集器的灵敏度增加1。
结合本发明实施例的第二方面至第二方面的第二种实现方式中任一种实现方式,本发明实施例第二方面的第四种实现方式中,所述指纹采集器还包括:
存储模块,用于存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
所述增益调整模块具体包括:
增益查找单元,用于在所述存储模块存储的第一对应关系中查找所述指纹图像的均值对应的增益调节值;
增益调节单元,用于按照所述增益查找单元查找到的所述增益调节值,调整指纹采集器的增益,使得所述获取模块再次获取的指纹图像的均值在所述预置均值范围内;
所述灵敏度增大模块具体包括:
灵敏度查找单元,用于在所述存储模块存储的第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
灵敏度增大单元,用于按照所述灵敏度查找单元查找到的所述灵敏度调节值,增大指纹采集器的灵敏度,使得所述获取模块再次获取的指纹图像的方差大于所述预置方差阈值。
本发明实施例第三方面提供了一种终端,包括:
指纹传感器,输出装置,存储器和处理器;
所述指纹传感器,用于获取用户的指纹图像;
通过调用所述存储器存储的操作指令,所述处理器用于执行如下步骤:
判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
当确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整所述指纹传感器的增益,使得所述指纹传感器再次获取的指纹图像的均值向所述预置均值范围靠近;
当确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
当确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大所述指纹传感器的灵敏度,使得所述指纹传感器再次获取的指纹图像的方差增大;
当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,指示所述输出装置输出所述指纹图像。
结合本发明实施例的第三方面,本发明实施例第三方面的第一种实现方式中,在执行所述判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内的步骤之前,所述处理器还用于执行如下步骤:
判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
当确定小于所述预置差值时,执行所述判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内的步骤;
当确定大于所述预置差值时,指示所述指纹传感器再次获取用户的指纹图像。
结合本发明实施例第三方面的第一种实现方式,本发明实施例第三方面的第二种实现方式中,在执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤之前,所述处理器还用于执行如下步骤:
判断所述指纹图像的均值是否大于预置检测阈值;
当确定大于所述预置检测阈值时,执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤;
当确定小于所述预置检测阈值时,指示所述指纹传感器再次获取用户的指纹图像。
结合本发明实施例的第三方面至第三方面的第二种实现方式中任一种实现方式,本发明实施例第三方面的第三种实现方式中,当执行所述根据所述指纹图像的均值调整所述指纹传感器的增益的步骤时,所述处理器具体执行如下步骤:
当所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹传感器的增益增加1,所述预置均值范围的中心点的值为127或128;
当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹传感器的增益减小1;
当执行所述根据所述指纹图像的方差增大所述指纹传感器的灵敏度的步骤时,所述处理器具体执行如下步骤:
将所述指纹传感器的灵敏度增加1。
结合本发明实施例的第三方面至第三方面的第二种实现方式中任一种实现方式,本发明实施例第三方面的第四种实现方式中,所述存储器还用于,存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
当执行所述根据所述指纹图像的均值调整所述指纹传感器的增益的步骤时,所述处理器具体执行如下步骤:
在所述第一对应关系中查找所述指纹图像的均值对应的增益调节值;
按照查找到的所述增益调节值,调整所述指纹传感器的增益,使得所述指纹传感器再次获取的指纹图像的均值在所述预置均值范围内;
当执行所述根据所述指纹图像的方差增大所述指纹传感器的灵敏度的步骤时,所述处理器具体执行如下步骤:
在所述第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
按照查找到的所述灵敏度调节值,增大所述指纹传感器的灵敏度,使得所述指纹传感器再次获取的指纹图像的方差大于所述预置方差阈值。
本发明实施例第四方面提供了一种存储一个或多个程序的计算机可读存储介质,所述一个或多个程序包括指令,所述指令当被包括多个应用程序的便携式电子设备执行时使所述便携式电子设备执行根据第一方面至第一方面第 四种实现方式中任一项的实现方式。
从以上技术方案可以看出,本发明实施例具有以下优点:本发明实施例中指纹采集器获取到用户的指纹图像后,若该指纹图像的均值不在预置均值范围内,会自动的对指纹采集器的增益进行调整,使再次获取到的指纹图像的均值向所述预置均值范围靠近,若该指纹图像的均值在预置均值范围内而该指纹图像的方差小于预置方差阈值,也会自动的增大指纹采集器的灵敏度,使得指纹采集器的方差随之增大,只有均值在预置均值范围内,方差大于预置方差阈值的指纹图像才会被输出,这样,通过自适应的参数调整,保证了采集到的指纹图像的均值和方差都在要求的质量范围内,使得该指纹传感器能够适应所有用户或者同一用户在任意时刻手指的干湿程度,提高了指纹采集器采集图像的质量,增加了指纹传感器验证的成功率。
附图说明
图1为本发明实施例中采集指纹的方法一个流程示意图;
图2为本发明实施例中采集指纹的方法另一个流程示意图;
图3为本发明实施例中指纹采集器获取到的指纹图像随时间变化的一个示例示意图;
图4为本发明实施例中均值大小对图像黑白程度影响的一个效果示意图;
图5为本发明实施例中方差大小对图像对比度影响的一个效果示意图;
图6为本发明实施例中指纹采集器一个结构示意图;
图7为本发明实施例中指纹采集器另一个结构示意图;
图8为本发明实施例中指纹采集器另一个结构示意图;
图9为本发明实施例中指纹采集器另一个结构示意图;
图10为本发明实施例中终端一个结构示意图。
具体实施方式
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,本领域技术人员在没有做出创造性劳 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。
请参阅图1,本发明实施例中采集指纹的方法一个实施例包括:
101、指纹采集器获取用户的指纹图像;
指纹采集器感应到用户的手指按压在该指纹采集器上时,获取用户的指纹图像。
102、所述指纹采集器判断指纹图像的均值是否在预置均值范围内;
该指纹采集器获取到用户的指纹图像后,判断获取到的指纹图像的均值是否在预置均值范围内,其中,该指纹图像的均值为该指纹图像中各像素点的像素值的均值;
需要说明的是,指纹图像的均值的大小主要影响指纹图像整体的黑白程度,若指纹图像的均值过大,则指纹图像整体会过白,若指纹图像的均值太小,则指纹图像整体会过黑,因此,若要保证采集到的指纹图像能被识别,首先要保证指纹图像的均值在预置均值范围内,这样,采集到的指纹图像就不会过黑或过白,更容易识别。像素值的取值范围为0到255,因此,一般的,该预置均值范围的中心点可以取值为127或128,当然,在实际应用中,根据指纹采集器性能以及用户需求,预置均值范围可以采用更多其他的中心点,其范围也可以有很多种取值方式,例如与中心点正负偏差20,或与中心点正负偏差35等,此处不作限定。
103、当确定所述指纹图像的均值不在预置均值范围内时,所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值向所述预置均值范围靠近;
本步骤中,调整指纹采集器的增益,能对指纹采集器再次采集到的指纹图像的均值造成影响,具体的,增大指纹采集器的增益可以使得再次采集到的指纹图像的均值增大,而降低指纹采集器的增益可以使得再次采集到的指纹图像的均值减小。因此,当确定所述指纹图像的均值不在预置均值范围内时,根据当前获取到的指纹图像的均值与预置均值范围的对比,该指纹采集器可以调整指纹采集器的增益,从而使得指纹采集器再次获取的指纹图像的均值向该预置均值范围靠近,最终将获取到的指纹图像的均值调整到该预置均值范围内。其中,使指纹采集器再次获取到指纹图像的均值向该预置均值范围靠近,从数量 关系上来看,即是使再次获取到的指纹图像的均值与预置均值范围的中心点的差值的绝对值减小。
104、当确定所述指纹图像的均值在预置均值范围内时,所述指纹采集器判断指纹图像的方差是否大于预置方差阈值;
本步骤中,若指纹图像的均值在与之均值范围内,该指纹采集器判断指纹图像的方差是否大于预置方差阈值,其中,该指纹图像的方差为指纹图像中各像素点的像素值的方差。
需要说明的是,指纹图像的方差的大小主要影响指纹图像的对比度(即对黑白的区分),若指纹图像的方差太小,则指纹图像的对比度不高,难以识别。因此,若要保证采集到的指纹图像能被识别,在保证指纹图像的均值在预置均值范围内外,还要保证指纹图像的方差大于预置方差阈值,这样,采集到的图像黑白分明,更方便识别和进行指纹验证。
105、当确定所述指纹图像的方差小于所述预置方差阈值时,所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差增大;
本步骤中,增大指纹采集器的灵敏度,会拉伸采集指纹图像的信号,能增大指纹采集器再次采集到的指纹图像的方差。因此,当确定所述指纹图像的方差小于预置方差阈值时,该指纹采集器会增大指纹采集器的灵敏度,从而增大指纹采集器再次获取的指纹图像的方差,最终使得再次获取到的指纹图像的方差大于预置方差阈值。
106、当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,所述指纹采集器输出所述指纹图像。
本步骤中,只有当获取到的指纹图像的均值在预置均值范围内且指纹图像的方差大于预置方差阈值时,该指纹采集器才会输出该指纹图像用于指纹验证。
可以理解的是,指纹图像的方差等于预置方差阈值的处理情况与预置方差阈值的取值情况相关,在实际应用中,根据预置方差阈值取值情况的不同,可以设定指纹图像的方差等于预置方差阈值时执行步骤105,也可以设定指纹图像的方差等于预置方差阈值时执行步骤106,此处不作限定。
需要说明的是,本发明实施例中,当确定指纹图像的均值不在预置均值范围内时,需要执行步骤103对指纹采集器的增益进行调整,然后再次执行步骤101获取指纹图像;当确定指纹图像的方差小于所述预置方差阈值时,执行步骤105增大指纹采集器的灵敏度,然后再次执行步骤101获取指纹图像,经过若干次自适应的对增益和/或灵敏度的调整之后,再次获取的指纹图像的方差在预置均值范围内且方差大于预置方差阈值时,再输出满足要求的该指纹图像。
本发明实施例中指纹采集器获取到用户的指纹图像后,若该指纹图像的均值不在预置均值范围内,会自动的对指纹采集器的增益进行调整,使再次获取到的指纹图像的均值向所述预置均值范围靠近,若该指纹图像的均值在预置均值范围内而该指纹图像的方差小于预置方差阈值,也会自动的增大指纹采集器的灵敏度,使得指纹采集器的方差随之增大,只有均值在预置均值范围内,方差大于预置方差阈值的指纹图像才会被输出,这样,通过自适应的参数调整,保证了采集到的指纹图像的均值和方差都在要求的质量范围内,使得该指纹传感器能够适应所有用户或者同一用户在任意时刻手指的干湿程度,提高了指纹采集器采集图像的质量,增加了指纹传感器验证的成功率。
上面实施例中,指纹采集器获取到指纹图像后,先判断指纹图像的均值是否在预置均值范围内,在实际应用中,在判断指纹图像的均值是否在预置均值范围内之前,指纹采集器还可以先对指纹图像的稳定性和数据量进行判断,确定满足要求后再进行后续操作,下面对本发明实施例中采集指纹的方法进行具体描述,请参阅图2,本发明实施例中采集指纹的方法另一个实施例包括:
201、指纹采集器获取用户的指纹图像;
需要说明的是,指纹采集器获取用户的指纹图像后,可以计算出获取到的指纹图像的均值和指纹图像方差:
其中指纹图像的均值为该指纹图像中各像素点的像素值的均值,计算公式可以为:
Figure PCTCN2015076755-appb-000001
其中n为指纹图像中像素点的数目,an表示指纹图像中第n个像素点的像素值,An表示n个像素点的指纹图像的像素值 的均值。
指纹图像的方差为指纹图像中各像素点的像素值的方差,计算公式可以为
Figure PCTCN2015076755-appb-000002
其中n为指纹图像中像素点的数目,s表示该指纹图像的方差,xn表示指纹图像中第n个像素点的像素值,x表示计算出的该指纹图像的均值。
202、所述指纹采集器判断所述指纹图像的均值是否大于预置检测阈值;
指纹采集器获取到用户的指纹图像后,判断该指纹图像的均值是否大于预置检测阈值;
当确定大于预置检测阈值时,触发步骤203;
当确定小于预置检测阈值时,触发步骤201。
可以理解的是,指纹图像的均值等于预置检测阈值时的处理情况与该预置检测阈值的取值相关,在实际应用中,可以设定指纹图像的均值等于预置检测阈值时,触发步骤203,也可以设定指纹图像的均值等于预置检测阈值时,触发步骤201,此处不作限定。
如图3所示,为指纹采集器获取到的指纹图像随时间变化的示例示意图,可知,手指放置在指纹传感器上是一个持续的过程,在此过程中,指纹传感器能采集到很多张指纹图像,在用户的手指刚在指纹传感器上放下还没有完全接触时,虽然指纹传感器能获取到指纹图像,然而获取到的图像中可能没有足够的数据量,不能用于指纹的识别,因此在确定指纹图像的均值大于预置检测阈值时才执行后续步骤,若小于预置检测预置则重新获取指纹图像,能提高指纹采集器的工作效率。
203、所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
需要说明的是,随着手指放置在指纹传感器上时间的延长,指纹采集器获取到的图像有一个渐变的过程,先是还没有完全接触时没有足够数据量的指纹图像,然后是完全接触后较稳定的能反映用户手指情况的指纹图像,随着时间的延长,手指会开始出汗,之后会导致图像过黑,获取到的指纹图像无法反映 指纹的真实状态,因此,若要采集到质量合格的指纹图像,采集指纹图像的时机也很关键。
本步骤中,通过判断在图像渐变过程中,指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值来确定该采集指纹图像的时机。
当均值之差小于预置差值时,表示此时均值为接近相对稳定的状态,此时采集的图像最能反映指纹的真实情况,则可以触发步骤204;
当均值之差大于预置差值时,表示此时均值还没有稳定,采集到的图像不一定能反映指纹的真实情况,则可以触发步骤201,采集下一张图再重新判断。
可以理解的是,均值之差等于预置差值时的处理情况与该预置差值的取值相关,在实际应用中,可以设定均值之差等于预置差值时,触发步骤204,也可以设定均值之差等于预置差值时,触发步骤201,此处不作限定。
可以理解的是,若当前判断的图是指纹采集器采集到的第一张指纹图像,没有能与其进行均值比较的另一张图,则可以直接触发步骤201,采集下一张图再重新判断。
204、所述指纹采集器判断指纹图像的均值是否在预置均值范围内;
当指纹采集器确定获取到的指纹图像的均值与前一次获取的指纹图像的均值之差小于预置差值时,表示获取到的该指纹图像能较真实的反应指纹的情况,则该指纹采集器判断该指纹图像的均值是否在预置均值范围内。
当确定该指纹图像的均值不在预置均值范围内时,触发步骤205;
当确定该指纹图像的均值在预置均值范围内时,触发步骤206。
需要说明的是,指纹图像的均值的大小主要影响指纹图像整体的黑白程度,若指纹图像的均值过大,则指纹图像整体会过白,若指纹图像的均值太小,则指纹图像整体会过黑,如图4所示,为均值大小对图像黑白程度影响的一个效果示意图,可见均值为224时图像过白,其中的指纹难以识别,均值为127或128时,图像黑白适宜,其中的指纹能够被识别,因此,若要保证采集到的指纹图像能被识别,首先要保证指纹图像的均值在预置均值范围内,这样,采集到的指纹图像就不会过黑或过白,更容易识别。像素值的取值范围为0到255,因此,一般的,该预置均值范围的中心点可以取值为127或128,当然,在实际应用中,根据指纹采集器性能以及用户需求,预置均值范围可以采用更 多其他的中心点,其范围也可以有很多种取值方式,例如与中心点正负偏差20,或与中心点正负偏差35等,此处不作限定。
205、所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值向所述预置均值范围靠近;
当确定获取到的指纹图像的均值不在预置均值范围内时,该指纹采集器根据所述指纹图像的均值调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值向所述预置均值范围靠近。
可以理解的是,调整指纹采集器增益的方式有很多种,下面以其中两种为例:
可选的,作为调整指纹采集器增益的一种方式,该指纹采集器可以将指纹图形的均值与预置均值范围的最大值和最小值进行对比,当该指纹图像的均值小于该预置均值范围的最小值时,将该指纹采集器的增益增加1,当该指纹图像的均值大于该预置均值范围的最大值时,将该指纹采集器的增益减小1。
可选的,作为调整指纹采集器增益的另一种方式,该指纹传感器可以预先存储第一对应关系和第二对应关系,该第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,其中均值与增益调节值呈反比例增长,该第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系,其中方差与灵敏度调节值层反比例增长,可以理解的是,该对应关系可以为直接的数值之间的对应关系,也可以为函数关系,此处不作限定。则,指纹采集器调整增益时,可以先在该第一对应关系中查找指纹图像的均值对应的增益调节值;再按照查找到的该增益调节值,调整指纹采集器的增益,使得指纹采集器再次获取的指纹图像的均值在该预置均值范围内。
206、所述指纹采集器判断指纹图像的方差是否大于预置方差阈值;
当确定获取到的指纹图像的均值在预置均值范围内时,该指纹采集器判断指纹图像的方差是否大于预置方差阈值;
若确定指纹图像的方差小于所述预置方差阈值,则触发步骤207;
若确定指纹图像的方差大于所述预置方差阈值,则触发步骤208。
可以理解的是,指纹图像的方差等于预置方差阈值的处理情况与预置方差阈值的取值情况相关,在实际应用中,根据预置方差阈值取值情况的不同,可 以设定指纹图像的方差等于预置方差阈值时执行步骤207,也可以设定指纹图像的方差等于预置方差阈值时执行步骤208,此处不作限定。
可以理解的是,由于调整指纹采集器的增益对计算图像的方差有影响,因此需要先确定均值在预置均值范围内,才再判断是否需要调整灵敏度使得方差大于预置方差阈值,这样能节省判定过程,提高指纹采集器性能。
需要说明的是,指纹图像的方差的大小主要影响指纹图像的对比度(即对黑白的区分),若指纹图像的方差太小,则指纹图像的对比度不高,难以识别。如图5所示,为方差大小对图像对比度影响的一个效果示意图,左边图像方差较小时,黑白对比不明显,较难识别指纹,右边方差增大后,图像中黑白对比显著,能较容易的识别指纹。因此,若要保证采集到的指纹图像能被识别,在保证指纹图像的均值在预置均值范围内外,还要保证指纹图像的方差大于预置方差阈值,这样,采集到的图像黑白分明,更方便识别和进行指纹验证。
207、所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差增大;
当确定所述指纹图像的方差小于所述预置方差阈值时,该指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差增大。
可以理解的是,增大指纹采集器灵敏度的方式有很多种,下面以其中两种为例:
可选的,可以直接将该指纹采集器的灵敏度增加1;这样若获取的下一张指纹图像的方差还是小于该预置方差阈值,则再次将该指纹采集器的灵敏度增加1,直到获取到的指纹图像的方差大于预置方差阈值为止。
可选的,若指纹采集器中预先存储了表示预先设定的方差和预先设定的灵敏度调节值之间对应关系的第二对应关系,则指纹采集器可以先在该第二对应关系中查找指纹图像的方差对应的灵敏度调节值,再按照查找到的该灵敏度调节值,增大指纹采集器的灵敏度,使得该指纹采集器再次获取的指纹图像的方差大于该预置方差阈值。
208、所述指纹采集器输出所述指纹图像。
若在步骤204与步骤206的判断中均满足条件,即确定指纹图像的均值在 预置均值范围内且指纹图像的方差大于预置方差阈值,则该指纹采集器输出该指纹图像用于指纹验证。
可以理解的是,指纹图像的方差等于预置方差阈值的处理情况与预置方差阈值的取值情况相关,在实际应用中,根据预置方差阈值取值情况的不同,可以设定指纹图像的方差等于预置方差阈值时执行步骤207,也可以设定指纹图像的方差等于预置方差阈值时执行步骤208,此处不作限定。
本发明实施例中,在判断指纹图像的均值是否在预置均值范围内之前,先对指纹图像是否具有足够的信息量以及指纹图像是否能稳定的表示出真实的指纹情况进行判定,只有在指纹图像的均值大于预置检测阈值,表示已有足够的数据量,且与上一次指纹图像的均值之差小于预置差值,表示指纹图像能稳定的表示真实的指纹情况时,才确定此时是最佳的抓图时机,对获取到的指纹图像进行后续判断,满足条件则输出,不满足条件,则自适应的调整指纹采集器的增益或灵敏度,直到获取到满足条件的指纹图像再输出,一方面通过实施跟踪的方式,能找到最佳的抓图时机,提高了指纹采集器采集指纹图像的准确性,能使得指纹采集器获得最佳的图像,另一方面通过自适应的参数调整,自动获取到图像质量符合要求的指纹图像,解决了手指脚杆或者较湿的人群不容易验证通过的问题,提高了指纹验证的成功率,增强了指纹采集器的人机交互性能。
为便于理解,下面以一具体应用场景对本发明实施例中采集指纹的方法进行具体描述:
若用户手指较干,用户的手指刚放在指纹采集器上时,指纹采集器获取到指纹图像,计算该指纹图像的均值为25,小于预置检测阈值40;
重新获取指纹图像,计算重新获取到的指纹图像的均值为37,小于预置检测预置40;
重新获取指纹图像,计算重新获取到的指纹图像的均值为77,大于预置检测阈值40;
指纹采集器确定该均值77与前一次获取的指纹图像的均值37之差40不小于预置差值20;
重新获取指纹图像,计算重新获取到的指纹图像的均值为85,大于预置 检测阈值40;
指纹采集器确定该均值85与前一次获取的指纹图像的均值77之差8小于预置差值20;
指纹采集器确定该指纹图像的均值85不在预置均值范围100到156之内;
指纹采集器将增益增大1,重新获取指纹图像,计算重新获取到的指纹图像的均值为110,大于预置检测阈值40;
指纹采集器确定该均值110与前一次获取的指纹图像的均值85之差25不小于预置差值20;
重新获取指纹图像,计算重新获取到的指纹图像的均值为118,大于预置检测阈值40;
指纹采集器确定该均值118与前一次获取的指纹图像的均值110之差8小于预置差值20;
指纹采集器确定该指纹图像的均值118在预置均值范围100到156之内;
指纹采集器计算该指纹图像的方差为30,确定该指纹图像的方差30不大于预置方差阈值50;
该指纹采集器查找方差与灵敏度调节值的对应关系,按照查找到的灵敏度调节值,将灵敏度增大2,重新获取指纹图像,计算重新获取到的指纹图像的均值为120,大于预置检测阈值40;
指纹采集器确定该均值120与前一次获取的指纹图像的均值118之差2小于预置差值20;
指纹采集器确定该指纹图像的均值120在预置均值范围100到156之内;
指纹采集器计算该指纹图像的方差为60,确定该指纹图像的方差60大于预置方差阈值50;
指纹采集器输出该均值120在预置均值范围内且方差60大于预置方差阈值的指纹图像用于指纹验证。
下面对本发明实施例中的指纹采集器进行描述,请参阅图6,本发明实施例中指纹采集器一个实施例包括:
获取模块601,用于获取用户的指纹图像;
第一判断模块602,用于判断所述获取模块601获取的指纹图像的均值是 否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
增益调整模块603,用于当所述第一判断模块602确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整指纹采集器的增益,使得所述获取模块601再次获取的指纹图像的均值向所述预置均值范围靠近;
第二判断模块604,用于当所述第一判断模块602确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
灵敏度增大模块605,用于当所述第二判断模块604确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述获取模块601再次获取的指纹图像的方差增大;
输出模块606,用于当所述第一判断模块602确定所述指纹图像的均值在预置均值范围内且所述第二判断模块604确定指纹图像的方差大于所述预置方差阈值时,输出所述获取模块601获取的指纹图像。
可以理解的是,第二判断模块604确定指纹图像的方差等于预置方差阈值的处理情况与预置方差阈值的取值情况相关,在实际应用中,根据预置方差阈值取值情况的不同,可以设定第二判断模块604确定指纹图像的方差等于预置方差阈值时触发灵敏度增大模块605,也可以设定第二判断模块604确定指纹图像的方差等于预置方差阈值时触发输出模块606,此处不作限定。
本发明实施例中获取模块601获取到用户的指纹图像后,若第一判断模块602确定该指纹图像的均值不在预置均值范围内,增益调整模块603会自动的对指纹采集器的增益进行调整,使再次获取到的指纹图像的均值向所述预置均值范围靠近,若第一判断模块602确定该指纹图像的均值在预置均值范围内而第二判断模块604确定该指纹图像的方差小于预置方差阈值,灵敏度增大模块605也会自动的增大指纹采集器的灵敏度,使得指纹采集器的方差随之增大,只有均值在预置均值范围内,方差大于预置方差阈值的指纹图像才会被输出,这样,通过自适应的参数调整,保证了采集到的指纹图像的均值和方差都在要求的质量范围内,使得该指纹传感器能够适应所有用户或者同一用户在任意时刻手指的干湿程度,提高了指纹采集器采集图像的质量,增加了指纹传感器验 证的成功率。
上面实施例中,获取模块601获取到指纹图像后,第一判断模块602先判断指纹图像的均值是否在预置均值范围内,在实际应用中,第一判断模块602在判断指纹图像的均值是否在预置均值范围内之前,指纹采集器还可以先对指纹图像的稳定性和数据量进行判断,确定满足要求后再进行后续操作,下面对本发明实施例中指纹采集器进行具体描述,请参阅图7,作为本发明实施例中指纹采集器另一个实施例,上述指纹采集器还包括:
第三判断模块701,用于判断所述获取模块601获取的指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
第一触发模块702,用于当所述第三判断模块701确定小于所述预置差值时,触发所述第一判断模块602;
第二触发模块703,用于当所述第三判断模块701确定大于所述预置差值时,触发所述获取模块601;
可以理解的是,第三判断模块701确定均值之差等于预置差值时的处理情况与该预置差值的取值相关,在实际应用中,可以设定第三判断模块701确定均值之差等于预置差值时,由第一触发模块702触发第一判断模块602,也可以设定第三判断模块701确定均值之差等于预置差值时,由第二触发模块703触发获取模块601,此处不作限定。
可选的,该指纹采集器还可以包括:
第四判断模块704,用于判断所述获取模块601获取的指纹图像的均值是否大于预置检测阈值;
第三触发模块705,用于当所述第四判断模块704确定大于所述预置检测阈值时,触发所述第三判断模块701;
第四触发模块706,用于当所述第四判断模块704确定小于所述预置检测阈值时,触发所述获取模块601;
可以理解的是,第四判断模块704确定指纹图像的均值等于预置检测阈值时的处理情况与该预置检测阈值的取值相关,在实际应用中,可以设定第四判断模块704确定指纹图像的均值等于预置检测阈值时,由第三触发模块705触发第三判断模块701,也可以设定第四判断模块704确定指纹图像的均值等 于预置检测阈值时,由第四触发模块706触发获取模块601,此处不作限定。
本发明实施例中,在第一判断模块602判断指纹图像的均值是否在预置均值范围内之前,第三判断模块701和第四判断模块704先对指纹图像是否具有足够的信息量以及指纹图像是否能稳定的表示出真实的指纹情况进行判定,只有在第三判断模块701确定指纹图像的均值大于预置检测阈值,表示已有足够的数据量,且第四判断模块704确定与上一次指纹图像的均值之差小于预置差值,表示指纹图像能稳定的表示真实的指纹情况时,才确定此时是最佳的抓图时机,第一判断模块602对获取到的指纹图像进行后续判断,满足条件则输出,不满足条件,则自适应的调整指纹采集器的增益或灵敏度,直到获取到满足条件的指纹图像再输出,一方面通过实施跟踪的方式,能找到最佳的抓图时机,提高了指纹采集器采集指纹图像的准确性,能使得指纹采集器获得最佳的图像,另一方面通过自适应的参数调整,自动获取到图像质量符合要求的指纹图像,解决了手指脚杆或者较湿的人群不容易验证通过的问题,提高了指纹验证的成功率,增强了指纹采集器的人机交互性能。
可以理解的是,在实际应用中,增益调整模块603对增益调整的调整量与灵敏度增大模块605对灵敏度调整的调整量可以设定为每次都是1,也可以在该指纹采集器中存储预置的调整量与均值或方差的对应关系,根据该对应关系确定每次的调整量,此处不作限定。
可选的,请参阅图8,作为本发明实施例中指纹采集器另一个实施例,图6或图7所示的指纹采集器中,该增益调整模块603具体可以包括:
增益增加单元801,用于当所述第一判断模块602确定所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹采集器的增益增加1,所述预置均值范围的中心点的值为127或128;
增益减小单元802,用于当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹采集器的增益减小1;
所述灵敏度增大模块605具体可以用于,当所述第二判断模块604确定所述指纹图像的方差小于所述预置方差阈值时,将所述指纹采集器的灵敏度增加1。
本发明实施例中,增益调整模块603和灵敏度增大模块605每次对增益与 灵敏度的调整量确定为最小单位1,保证了对增益调整以及灵敏度调整的准确性。
可选的,请参阅图9,作为本发明实施例中指纹采集器另一个实施例,图6或图7所示的指纹采集器还包括:
存储模块901,用于存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
上述增益调整模块603具体可以包括:
增益查找单元902,用于在所述存储模块901存储的第一对应关系中查找所述指纹图像的均值对应的增益调节值;
增益调节单元903,用于按照所述增益查找单元902查找到的所述增益调节值,调整指纹采集器的增益,使得所述获取模块601再次获取的指纹图像的均值在所述预置均值范围内;
上述灵敏度增大模块605具体包括:
灵敏度查找单元904,用于在所述存储模块901存储的第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
灵敏度增大单元905,用于按照所述灵敏度查找单元904查找到的所述灵敏度调节值,增大指纹采集器的灵敏度,使得所述获取模块601再次获取的指纹图像的方差大于所述预置方差阈值。
本发明实施例中,增益调整模块603和灵敏度增大模块605按照存储模块901中存储的对应关系确定每次的调整量,提高了调整的效率,节省了指纹采集器获取到合适的指纹图像的时间。
为了便于理解上述实施例,下面以上述指纹采集器各个模块在一个具体应用场景中的交互过程进行说明:
若用户手指较干,用户的手指刚放在指纹采集器上时,获取模块601获取到指纹图像,计算该指纹图像的均值为25,第四判断模块704确定小于预置检测阈值40;
获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为37,第四判断模块704确定小于预置检测阈值40;
获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为77,第四判断模块704确定大于预置检测阈值40;
第三判断模块701确定该均值77与前一次获取的指纹图像的均值37之差40不小于预置差值20;
获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为85,第四判断模块704确定大于预置检测阈值40;
第三判断模块701确定该均值85与前一次获取的指纹图像的均值77之差8小于预置差值20;
第一判断模块602确定该指纹图像的均值85不在预置均值范围100到156之内;
增益调整模块603将增益增大1,获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为110,第四判断模块确定704大于预置检测阈值40;
第三判断模块701确定该均值110与前一次获取的指纹图像的均值85之差25不小于预置差值20;
获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为118,第四判断模块704确定大于预置检测阈值40;
第三判断模块701确定该均值118与前一次获取的指纹图像的均值110之差8小于预置差值20;
第一判断模块602确定该指纹图像的均值118在预置均值范围100到156之内;
指纹采集器计算该指纹图像的方差为30,第二判断模块604确定该指纹图像的方差30不大于预置方差阈值50;
灵敏度增大模块605查找方差与灵敏度调节值的对应关系,按照查找到的灵敏度调节值,将灵敏度增大2,获取模块601重新获取指纹图像,计算重新获取到的指纹图像的均值为120,第四判断模块704确定大于预置检测阈值40;
第三判断模块701确定该均值120与前一次获取的指纹图像的均值118之差2小于预置差值20;
第一判断模块602确定该指纹图像的均值120在预置均值范围100到156 之内;
第二判断模块604计算该指纹图像的方差为60,确定该指纹图像的方差60大于预置方差阈值50;
输出模块606输出该均值120在预置均值范围内且方差60大于预置方差阈值的指纹图像用于指纹验证。
可以理解的是,上述指纹采集器可以为一种终端,也可以作为一种功能模块或实体结构集成在某些终端内,例如可以为一种打卡器,也可以为手机或平板等中的某个功能模块等,此处不作限定。
下面对本发明实施例中的终端进行描述,请参阅图10,本发明实施例中终端1000一个实施例包括:
指纹传感器1001、输出装置1002、处理器1003和存储器1004(其中终端1000中的处理器1003的数量可以一个或多个,图10中以一个处理器1003为例)。在本发明的一些实施例中,指纹传感器1001、输出装置1002、处理器1003和存储器1004可通过总线或其它方式连接,其中,图10中以通过总线连接为例;
所述指纹传感器1001,用于获取用户的指纹图像;
通过调用所述存储器1004存储的操作指令,所述处理器1003用于执行如下步骤:
判断所述指纹传感器1001获取到的指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
当确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整所述指纹传感器1001的增益,使得所述指纹传感器1001再次获取的指纹图像的均值向所述预置均值范围靠近;
当确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
当确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大所述指纹传感器的灵敏度,使得所述指纹传感器1001再次获取的指纹图像的方差增大;
当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,指示所述输出装置1002输出所述指纹图像;
可以理解的是,指纹图像的方差等于预置方差阈值的处理情况与预置方差阈值的取值情况相关,在实际应用中,根据预置方差阈值取值情况的不同,可以设定指纹图像的方差等于预置方差阈值时执行所述增大所述指纹传感器的灵敏度的步骤,也可以设定指纹图像的方差等于预置方差阈值时执行所述指示所述输出装置1002输出所述指纹图像的步骤,此处不作限定。
本发明的一些实施例中,在执行所述判断所述指纹传感器1001获取到的指纹图像的均值是否在预置均值范围内的步骤之前,所述处理器1003还用于执行如下步骤:
判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
当确定小于所述预置差值时,执行所述判断所述指纹传感器1001获取到的指纹图像的均值是否在预置均值范围内的步骤;
当确定大于所述预置差值时,指示所述指纹传感器1001再次获取用户的指纹图像;
可以理解的是,均值之差等于预置差值时的处理情况与该预置差值的取值相关,在实际应用中,可以设定均值之差等于预置差值时,执行所述判断所述指纹传感器1001获取到的指纹图像的均值是否在预置均值范围内的步骤,也可以设定均值之差等于预置差值时,执行所述指示所述指纹传感器1001再次获取用户的指纹图像的步骤,此处不作限定。
本发明的一些实施例中,在执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤之前,所述处理器1003还用于执行如下步骤:
判断所述指纹图像的均值是否大于预置检测阈值;
当确定大于所述预置检测阈值时,执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤;
当确定小于所述预置检测阈值时,指示所述指纹传感器1001再次获取用户的指纹图像;
可以理解的是,指纹图像的均值等于预置检测阈值时的处理情况与该预置检测阈值的取值相关,在实际应用中,可以设定指纹图像的均值等于预置检测阈值时,执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤,也可以设定指纹图像的均值等于预置检测阈值时,执行所述指示所述指纹传感器1001再次获取用户的指纹图像的步骤,此处不作限定。
本发明的一些实施例中,当执行所述根据所述指纹图像的均值调整所述指纹传感器1001的增益的步骤时,所述处理器1003具体执行如下步骤:
当所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹传感器的增益增加1,所述预置均值范围的中心点的值为127或128;
当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹传感器1001的增益减小1;
当执行所述根据所述指纹图像的方差增大所述指纹传感器的灵敏度的步骤时,所述处理器1003具体执行如下步骤:
将所述指纹传感器1001的灵敏度增加1;
本发明的一些实施例中,所述存储器1004还用于,存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
当执行所述根据所述指纹图像的均值调整所述指纹传感器1001的增益的步骤时,所述处理器1003具体执行如下步骤:
在所述第一对应关系中查找所述指纹图像的均值对应的增益调节值;
按照查找到的所述增益调节值,调整所述指纹传感器1001的增益,使得所述指纹传感器1001再次获取的指纹图像的均值在所述预置均值范围内;
当执行所述根据所述指纹图像的方差增大所述指纹传感器1001的灵敏度的步骤时,所述处理器1003具体执行如下步骤:
在所述第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
按照查找到的所述灵敏度调节值,增大所述指纹传感器1001的灵敏度,使得所述指纹传感器1001再次获取的指纹图像的方差大于所述预置方差阈 值。
本发明实施例还包括一种存储一个或多个程序的计算机可读存储介质,所述一个或多个程序包括指令,所述指令当被包括多个应用程序的便携式电子设备执行时使所述便携式电子设备执行图1或图对应的任一个实施例所示的采集指纹的方法。
所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,上述描述的系统,装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
在本申请所提供的几个实施例中,应该理解到,所揭露的系统,装置和方法,可以通过其它的方式实现。例如,以上所描述的装置实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,例如多个单元或组件可以结合或者可以集成到另一个系统,或一些特征可以忽略,或不执行。另一点,所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口,装置或单元的间接耦合或通信连接,可以是电性,机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外,在本发明各个实施例中的各功能单元可以集成在一个处理单元中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现,也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时,可以存储在一个计算机可读取存储介质中。基于这样的理解,本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机,服务器,或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述 的存储介质包括:U盘、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述,以上实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (16)

  1. 一种采集指纹的方法,其特征在于,包括:
    指纹采集器获取用户的指纹图像;
    所述指纹采集器判断指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
    当确定所述指纹图像的均值不在预置均值范围内时,所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值向所述预置均值范围靠近;
    当确定所述指纹图像的均值在预置均值范围内时,所述指纹采集器判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
    当确定所述指纹图像的方差小于所述预置方差阈值时,所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差增大;
    当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,所述指纹采集器输出所述指纹图像。
  2. 根据权利要求1所述的方法,其特征在于,所述指纹采集器判断指纹图像的均值是否在预置均值范围内的步骤之前还包括:
    所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
    当确定小于所述预置差值时,触发所述指纹采集器判断指纹图像的均值是否在预置均值范围内的步骤;
    当确定大于所述预置差值时,触发所述指纹采集器获取用户的指纹图像的步骤。
  3. 根据权利要求2所述的方法,其特征在于,所述指纹采集器判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤之前还包括:
    所述指纹采集器判断所述指纹图像的均值是否大于预置检测阈值;
    当确定大于所述预置检测阈值时,触发所述指纹采集器判断所述指纹图像 的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤;
    当确定小于所述预置检测阈值时,触发所述指纹采集器获取用户的指纹图像的步骤。
  4. 根据权利要求1至3中任一项所述的方法,其特征在于,所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益具体包括:
    当所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹采集器的增益增加1,所述预置均值范围的中心点的值为127或128;
    当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹采集器的增益减小1;
    所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度具体包括:
    将所述指纹采集器的灵敏度增加1。
  5. 根据权利要求1至3中任一项所述的方法,其特征在于,所述方法还包括:
    所述指纹传感器存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
    所述指纹采集器根据所述指纹图像的均值调整指纹采集器的增益具体包括:
    所述指纹采集器在所述第一对应关系中查找所述指纹图像的均值对应的增益调节值;
    所述指纹采集器按照查找到的所述增益调节值,调整指纹采集器的增益,使得所述指纹采集器再次获取的指纹图像的均值在所述预置均值范围内;
    所述指纹采集器根据所述指纹图像的方差增大指纹采集器的灵敏度具体包括:
    所述指纹采集器在所述第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
    所述指纹采集器按照查找到的所述灵敏度调节值,增大指纹采集器的灵敏度,使得所述指纹采集器再次获取的指纹图像的方差大于所述预置方差阈值。
  6. 一种指纹采集器,其特征在于,包括:
    获取模块,用于获取用户的指纹图像;
    第一判断模块,用于判断所述获取模块获取的指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
    增益调整模块,用于当所述第一判断模块确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整指纹采集器的增益,使得所述获取模块再次获取的指纹图像的均值向所述预置均值范围靠近;
    第二判断模块,用于当所述第一判断模块确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
    灵敏度增大模块,用于当所述第二判断模块确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大指纹采集器的灵敏度,使得所述获取模块再次获取的指纹图像的方差增大;
    输出模块,用于当所述第一判断模块确定所述指纹图像的均值在预置均值范围内且所述第二判断模块确定指纹图像的方差大于所述预置方差阈值时,输出所述获取模块获取的指纹图像。
  7. 根据权利要求6所述的指纹采集器,其特征在于,所述指纹采集器还包括:
    第三判断模块,用于判断所述获取模块获取的指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
    第一触发模块,用于当所述第三判断模块确定小于所述预置差值时,触发所述第一判断模块;
    第二触发模块,用于当所述第三判断模块确定大于所述预置差值时,触发所述获取模块。
  8. 根据权利要求7所述的指纹采集器,其特征在于,所述指纹采集器还包括:
    第四判断模块,用于判断所述获取模块获取的指纹图像的均值是否大于预置检测阈值;
    第三触发模块,用于当所述第四判断模块确定大于所述预置检测阈值时,触发所述第三判断模块;
    第四触发模块,用于当所述第四判断模块确定小于所述预置检测阈值时,触发所述获取模块。
  9. 根据权利要求6至8中任一项所述的指纹采集器,其特征在于,
    所述增益调整模块具体包括:
    增益增加单元,用于当所述第一判断模块确定所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹采集器的增益增加1,所述预置均值范围的中心点的值为127或128;
    增益减小单元,用于当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹采集器的增益减小1;
    所述灵敏度增大模块具体用于,当所述第二判断模块确定所述指纹图像的方差小于所述预置方差阈值时,将所述指纹采集器的灵敏度增加1。
  10. 根据权利要求6至8中任一项所述的指纹采集器,其特征在于,所述指纹采集器还包括:
    存储模块,用于存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
    所述增益调整模块具体包括:
    增益查找单元,用于在所述存储模块存储的第一对应关系中查找所述指纹图像的均值对应的增益调节值;
    增益调节单元,用于按照所述增益查找单元查找到的所述增益调节值,调整指纹采集器的增益,使得所述获取模块再次获取的指纹图像的均值在所述预置均值范围内;
    所述灵敏度增大模块具体包括:
    灵敏度查找单元,用于在所述存储模块存储的第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
    灵敏度增大单元,用于按照所述灵敏度查找单元查找到的所述灵敏度调节值,增大指纹采集器的灵敏度,使得所述获取模块再次获取的指纹图像的方差 大于所述预置方差阈值。
  11. 一种终端,其特征在于,包括:
    指纹传感器,输出装置,存储器和处理器;
    所述指纹传感器,用于获取用户的指纹图像;
    通过调用所述存储器存储的操作指令,所述处理器用于执行如下步骤:
    判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内,所述指纹图像的均值为所述指纹图像中各像素点的像素值的均值;
    当确定所述指纹图像的均值不在预置均值范围内时,根据所述指纹图像的均值调整所述指纹传感器的增益,使得所述指纹传感器再次获取的指纹图像的均值向所述预置均值范围靠近;
    当确定所述指纹图像的均值在预置均值范围内时,判断指纹图像的方差是否大于预置方差阈值,所述指纹图像的方差为所述指纹图像中各像素点的像素值的方差;
    当确定所述指纹图像的方差小于所述预置方差阈值时,根据所述指纹图像的方差增大所述指纹传感器的灵敏度,使得所述指纹传感器再次获取的指纹图像的方差增大;
    当确定所述指纹图像的均值在预置均值范围内且所述指纹图像的方差大于所述预置方差阈值时,指示所述输出装置输出所述指纹图像。
  12. 根据权利要求11所述的指纹采集器,其特征在于,在执行所述判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内的步骤之前,所述处理器还用于执行如下步骤:
    判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值;
    当确定小于所述预置差值时,执行所述判断所述指纹传感器获取到的指纹图像的均值是否在预置均值范围内的步骤;
    当确定大于所述预置差值时,指示所述指纹传感器再次获取用户的指纹图像。
  13. 根据权利要求12所述的指纹采集器,其特征在于,在执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值 的步骤之前,所述处理器还用于执行如下步骤:
    判断所述指纹图像的均值是否大于预置检测阈值;
    当确定大于所述预置检测阈值时,执行所述判断所述指纹图像的均值与前一次获取的指纹图像的均值之差是否小于预置差值的步骤;
    当确定小于所述预置检测阈值时,指示所述指纹传感器再次获取用户的指纹图像。
  14. 根据权利要求11至13中任一项所述的指纹采集器,其特征在于,当执行所述根据所述指纹图像的均值调整所述指纹传感器的增益的步骤时,所述处理器具体执行如下步骤:
    当所述指纹图像的均值小于所述预置均值范围的最小值时,将所述指纹传感器的增益增加1,所述预置均值范围的中心点的值为127或128;
    当所述指纹图像的均值大于所述预置均值范围的最大值时,将所述指纹传感器的增益减小1;
    当执行所述根据所述指纹图像的方差增大所述指纹传感器的灵敏度的步骤时,所述处理器具体执行如下步骤:
    将所述指纹传感器的灵敏度增加1。
  15. 根据权利要求11至13中任一项所述的指纹采集器,其特征在于,所述存储器还用于,存储第一对应关系和第二对应关系,所述第一对应关系表示预先设定的均值和预先设定的增益调节值之间的对应关系,所述第二对应关系表示预先设定的方差和预先设定的灵敏度调节值之间的对应关系;
    当执行所述根据所述指纹图像的均值调整所述指纹传感器的增益的步骤时,所述处理器具体执行如下步骤:
    在所述第一对应关系中查找所述指纹图像的均值对应的增益调节值;
    按照查找到的所述增益调节值,调整所述指纹传感器的增益,使得所述指纹传感器再次获取的指纹图像的均值在所述预置均值范围内;
    当执行所述根据所述指纹图像的方差增大所述指纹传感器的灵敏度的步骤时,所述处理器具体执行如下步骤:
    在所述第二对应关系中查找所述指纹图像的方差对应的灵敏度调节值;
    按照查找到的所述灵敏度调节值,增大所述指纹传感器的灵敏度,使得所 述指纹传感器再次获取的指纹图像的方差大于所述预置方差阈值。
  16. 一种存储一个或多个程序的计算机可读存储介质,所述一个或多个程序包括指令,所述指令当被包括多个应用程序的便携式电子设备执行时使所述便携式电子设备执行根据权利要求1至5任一项所述方法。
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US9898645B2 (en) * 2015-11-17 2018-02-20 Taiwan Semiconductor Manufacturing Company, Ltd. Fingerprint sensor device and method
CN105913514B (zh) * 2016-04-08 2018-03-27 广东欧珀移动通信有限公司 一种指纹解锁的方法及终端
CN108491707B (zh) * 2016-05-30 2020-01-14 Oppo广东移动通信有限公司 一种解锁控制方法及终端设备和介质产品
CN111052133B (zh) * 2017-09-07 2023-09-08 指纹卡安娜卡敦知识产权有限公司 用于确定手指与指纹传感器接触的方法和指纹感测系统
CN109948491B (zh) * 2019-03-11 2021-04-02 Oppo广东移动通信有限公司 指纹校准的判断方法及相关装置
CN110287922B (zh) * 2019-06-29 2021-05-07 Oppo广东移动通信有限公司 指纹识别方法及相关产品
CN111027424B (zh) * 2019-11-28 2023-04-07 深圳市迪安杰智能识别科技有限公司 指纹采集装置、方法和智能门锁
CN112183401A (zh) * 2020-09-30 2021-01-05 敦泰电子(深圳)有限公司 图像采集方法、芯片及图像采集装置
CN114327203B (zh) * 2021-12-28 2023-08-04 傲网信息科技(厦门)有限公司 一种用户操作的还原方法及装置、记录方法及装置
CN117934158B (zh) * 2024-03-13 2024-08-13 湖南三湘银行股份有限公司 一种基于rpa的信贷资料自动审查方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5883971A (en) * 1996-10-23 1999-03-16 International Business Machines Corporation System and method for determining if a fingerprint image contains an image portion representing a smudged fingerprint impression
US5995640A (en) * 1996-10-23 1999-11-30 International Business Machines Corporation System and method for determining if a fingerprint image contains an image portion representing a dry fingerprint impression
CN103065134A (zh) * 2013-01-22 2013-04-24 江苏超创信息软件发展股份有限公司 一种具有提示信息的指纹识别装置和方法
CN103778420A (zh) * 2014-02-28 2014-05-07 成都费恩格尔微电子技术有限公司 具有自动增益控制的指纹检测系统及其自动增益控制方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU706481B2 (en) * 1995-10-05 1999-06-17 Fujitsu Denso Ltd. Fingerprint registering method and fingerprint checking device
US6330345B1 (en) 1997-11-17 2001-12-11 Veridicom, Inc. Automatic adjustment processing for sensor devices
US6483932B1 (en) * 1999-08-19 2002-11-19 Cross Match Technologies, Inc. Method and apparatus for rolled fingerprint capture
AU3071001A (en) * 1999-12-23 2001-07-09 National University Of Singapore, The Wavelet-enhanced automated fingerprint identification system
CN1275188C (zh) * 2004-04-18 2006-09-13 杭州中正生物认证技术有限公司 光干扰条件下有效指纹信号的检出和残留指痕的甄别方法
KR100752640B1 (ko) * 2005-01-05 2007-08-29 삼성전자주식회사 방향성 기울기 필터를 이용한 지문 영역 분할 장치 및 방법
CN100367296C (zh) * 2006-01-18 2008-02-06 北京飞天诚信科技有限公司 指纹图像采集成像方法
JP4466707B2 (ja) * 2007-09-27 2010-05-26 ミツミ電機株式会社 指離れ検出装置、指離れ検出方法及びこれを用いた指紋読取装置、指紋読取方法
EP2219154B1 (en) * 2007-11-09 2017-09-20 Fujitsu Limited Biological information acquiring device, biological information accruing method, biological information acquiring program, and biometric authentication device
CN100592323C (zh) * 2008-07-01 2010-02-24 山东大学 面向图像质量的指纹识别方法
WO2011072284A1 (en) * 2009-12-11 2011-06-16 Sonavation, Inc. Pulse-rate detection using a fingerprint sensor
CN101773394B (zh) 2010-01-06 2011-09-07 中国航天员科研训练中心 身份识别方法及应用该方法的身份识别系统
US8799167B2 (en) * 2010-07-13 2014-08-05 Tec Solutions, Inc. Biometric authentication system and biometric sensor configured for single user authentication
US10068120B2 (en) * 2013-03-15 2018-09-04 Apple Inc. High dynamic range fingerprint sensing

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5883971A (en) * 1996-10-23 1999-03-16 International Business Machines Corporation System and method for determining if a fingerprint image contains an image portion representing a smudged fingerprint impression
US5995640A (en) * 1996-10-23 1999-11-30 International Business Machines Corporation System and method for determining if a fingerprint image contains an image portion representing a dry fingerprint impression
CN103065134A (zh) * 2013-01-22 2013-04-24 江苏超创信息软件发展股份有限公司 一种具有提示信息的指纹识别装置和方法
CN103778420A (zh) * 2014-02-28 2014-05-07 成都费恩格尔微电子技术有限公司 具有自动增益控制的指纹检测系统及其自动增益控制方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3200121A4 *

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