WO2018045712A1 - 一种二维码图像识别方法及移动终端 - Google Patents

一种二维码图像识别方法及移动终端 Download PDF

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Publication number
WO2018045712A1
WO2018045712A1 PCT/CN2017/072059 CN2017072059W WO2018045712A1 WO 2018045712 A1 WO2018045712 A1 WO 2018045712A1 CN 2017072059 W CN2017072059 W CN 2017072059W WO 2018045712 A1 WO2018045712 A1 WO 2018045712A1
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Prior art keywords
dimensional code
brightness value
target
code image
coordinate
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PCT/CN2017/072059
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English (en)
French (fr)
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赵冬晓
胡博
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中兴通讯股份有限公司
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Publication of WO2018045712A1 publication Critical patent/WO2018045712A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes

Definitions

  • This document relates to but not limited to the field of communication, and relates to a two-dimensional code image recognition method and a mobile terminal.
  • the embodiment of the invention provides a two-dimensional code image recognition method, which solves the problem that the two-dimensional code image recognition effect is poor.
  • An embodiment of the present invention provides a two-dimensional code image recognition method, including:
  • the embodiment of the invention further provides a mobile terminal, including:
  • a transmitting module configured to emit invisible light having a reflective characteristic to the target two-dimensional code image
  • An acquisition module configured to control the camera to collect the invisible light image of the target two-dimensional code image data
  • the identification module is configured to identify the two-dimensional code information included in the target two-dimensional code image based on the invisible light image data.
  • the embodiment of the invention further provides a computer readable storage medium, wherein the computer readable storage medium stores computer executable instructions, and the computer executable instructions are implemented to implement a two-dimensional code image recognition method.
  • the above technical solution emits invisible light having a reflection characteristic to a target two-dimensional code image; the control camera acquires invisible light image data of the target two-dimensional code image; and the image of the target two-dimensional code is included based on the invisible light image data. QR code information.
  • the two-dimensional code image recognition can be performed through the invisible light image data of the two-dimensional code image, thereby reducing the influence of the visible light reflection phenomenon on the two-dimensional code image recognition, and improving the effect of the two-dimensional code image recognition.
  • FIG. 1 is a schematic flow chart of a method for recognizing a two-dimensional code image according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a non-visible light emitting device according to an embodiment of the present invention.
  • FIG. 3 is a schematic flow chart of another method for recognizing a two-dimensional code image according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of rectangular area identification according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a normal distribution process according to an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of another normal distribution process according to an embodiment of the present invention.
  • FIG. 7 is a schematic structural diagram of a mobile terminal according to an embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of another mobile terminal according to an embodiment of the present disclosure.
  • FIG. 9 is a schematic structural diagram of a determining submodule in a mobile terminal according to an embodiment of the present disclosure.
  • FIG. 10 is a schematic structural diagram of an identification submodule in a mobile terminal according to an embodiment of the present disclosure.
  • FIG. 11 is a schematic structural diagram of another identification submodule in a mobile terminal according to an embodiment of the present invention.
  • an embodiment of the present invention provides a two-dimensional code image recognition method, which is applied to a mobile terminal, and includes the following steps:
  • Step S101 transmitting invisible light having a reflective characteristic to the target two-dimensional code image
  • the target two-dimensional code image is the two-dimensional code image of the mobile terminal to be recognized, and the invisible light having the reflective characteristic can be emitted to the target two-dimensional code image, and one of the mobile terminal can be used to emit the invisible light.
  • the invisible light emitted may be invisible light having reflection characteristics such as infrared rays or ultraviolet rays, and the position of the fill light lamp may be on the same plane as the photographing module of the camera, as shown in FIG. 2, so that the complement collected by the camera can be better ensured.
  • the invisible light emitted by the light lamp can of course also be provided with a fill light on the same plane of the front camera.
  • Step S102 controlling the camera to collect invisible light image data of the target two-dimensional code image
  • the camera collects the invisible image data of the target two-dimensional code image, and filters the visible light image data during the collection process.
  • the filtering method may be one of the following methods:
  • the visible light filter lens and the invisible light filter lens are added in front of the lens of the camera, and the visible light filter lens and the invisible light filter lens can be switched to each other.
  • the visible light filter is a filter that allows only visible light to pass through
  • the invisible light filter is a filter that allows only invisible light of a corresponding wavelength to pass.
  • the invisible light filter can be blocked in front of the lens, the visible light filter leaves the lens, and the invisible light image can be collected.
  • visible light image data acquisition is required, the visible light can be filtered.
  • the film is blocked in front of the lens, and the invisible light filter leaves the lens to collect visible light images.
  • the invisible image data of the two-dimensional code image can be acquired by controlling the mutual switching between the visible light filter lens and the invisible light filter lens.
  • Method 2 The control camera collects the target two-dimensional code image data including the invisible image data and the visible light data, and then performs software separation processing. For example, the fill light emits infrared invisible light, its wavelength is greater than 760 nm, and the wavelength is less than 760 nm is visible light. At this time, the target two-dimensional code image can be obtained by saving the image data larger than 760 nm in the collected image data. Invisible image data.
  • Step S103 Identify two-dimensional code information included in the target two-dimensional code image based on the invisible light image data.
  • the two-dimensional code information in the two-dimensional code image is identified, and the two-dimensional code information includes coordinate values of coordinate points, brightness values of coordinate points, and the like, and identifies two according to the two-dimensional code information and the two-dimensional code recognition principle. Dimension image.
  • the mobile terminal may be any mobile terminal having a shooting function, such as a mobile phone, a tablet personal computer, a laptop computer, a personal digital assistant (PDA). ), Mobile Internet Device (MID) or Wearable Device.
  • a shooting function such as a mobile phone, a tablet personal computer, a laptop computer, a personal digital assistant (PDA).
  • PDA personal digital assistant
  • MID Mobile Internet Device
  • Wearable Device any mobile terminal having a shooting function, such as a mobile phone, a tablet personal computer, a laptop computer, a personal digital assistant (PDA).
  • PDA personal digital assistant
  • MID Mobile Internet Device
  • the invisible light having the reflection characteristic is emitted to the target two-dimensional code image; the invisible light image data of the target two-dimensional code image is controlled by the control camera; and the target two-dimensional code image is identified based on the invisible light image data. QR code information contained in it.
  • the two-dimensional code image recognition can be performed through the invisible light image data of the two-dimensional code image, thereby reducing the influence of the visible light reflection phenomenon on the two-dimensional code image recognition, and improving the effect of the two-dimensional code image recognition.
  • an embodiment of the present invention provides another two-dimensional code image recognition method, including the following steps:
  • Step S301 transmitting invisible light having a reflective characteristic to the target two-dimensional code image
  • the target two-dimensional code image is a two-dimensional code image to be recognized by the mobile terminal, and the invisible light having the reflective characteristic can be emitted to the target two-dimensional code image, and a complementary light that can emit invisible light is added to the mobile terminal.
  • the invisible light emitted may be invisible light having reflection characteristics such as infrared rays, ultraviolet rays, etc., and the position of the fill light lamp may be on the same plane as the photographing module of the camera, as shown in FIG. 2, so as to better ensure the image collected by the camera.
  • the invisible light emitted by the fill light can of course also be provided with a fill light on the same plane of the front camera.
  • Step S302 controlling the camera to collect invisible light image data of the target two-dimensional code image
  • the camera collects the invisible image data of the target two-dimensional code image, and filters the visible light image data during the collection process.
  • the filtering method may be one of the following methods:
  • Method 1 Add visible light filter lens and invisible light filter lens in front of the camera lens. And the visible light filter lens and the invisible light filter lens can be switched to each other.
  • the visible light filter is a filter that allows only visible light to pass through
  • the invisible light filter is a filter that allows only invisible light of a corresponding wavelength to pass.
  • the invisible light filter can be blocked in front of the lens, the visible light filter leaves the lens, and the invisible light image can be collected.
  • visible light image data acquisition is required, the visible light can be filtered.
  • the film is blocked in front of the lens, and the invisible light filter leaves the lens to collect visible light images. In this way, the invisible image data of the two-dimensional code image can be acquired by controlling the mutual switching between the visible light filter lens and the invisible light filter lens.
  • Method 2 The control camera collects the target two-dimensional code image data including the invisible image data and the visible light data, and then performs software separation processing; for example, the fill light emits infrared invisible light, and its wavelength is greater than 760 nm, and the wavelength is less than 760 nm.
  • the visible light is visible at this time.
  • Step S303 determining a rectangular area of the target two-dimensional code image
  • a rectangular area of the target two-dimensional code is included, and the rectangular area contains the two-dimensional code information.
  • Step S304 Acquire coordinate values and brightness values of coordinate points of the invisible light image data in the rectangular area.
  • each coordinate point represents an invisible light image data, and each coordinate point corresponds to the brightness value of the image data, so that it is convenient to decode the two-dimensional code image data according to the coordinate value of the coordinate point and the brightness value of the coordinate point. And identification.
  • Step S305 Identify the two-dimensional code information included in the target two-dimensional code image according to the coordinate value of the coordinate point and the brightness value.
  • the two-dimensional code information in the two-dimensional code image is identified, and the two-dimensional code information includes the coordinate value of the coordinate point, the brightness value of the coordinate point, and the like, and the two-dimensional code is identified according to the two-dimensional code information and the two-dimensional code recognition principle.
  • the image because the coordinate values and the luminance values of the coordinate points in each two-dimensional code image are unique, so the required information is linked according to these two-dimensional codes.
  • the determining a rectangular area of the target two-dimensional code image includes:
  • Image complementation processing is performed based on coordinate values of the edge coordinate points to obtain the rectangular region.
  • the coordinate value of the edge coordinate point of the visible light image data is first determined. If there is no reflection phenomenon, the connection line of the edge coordinate is a rectangular area, as shown by 4b in FIG. . If there is a reflection phenomenon, the connection line of the above edge coordinates will be partially missing, as shown by 4a in Fig. 4, at this time, the completion processing is required, that is, the connection of the edge coordinate points is extended to obtain four intersection points. The area where the four intersection points are located is the rectangular area, and the coordinate values of the rectangular area are saved.
  • the identifying, according to the brightness value and the coordinate value of the coordinate point, the two-dimensional code information included in the target two-dimensional code image including:
  • normal distribution processing is performed on the luminance values of the coordinate points, and a normal distribution processing map is obtained.
  • the abscissa indicates the luminance value
  • the ordinate indicates the image data of the luminance value.
  • Quantity if the color of the target QR code image is black and white, the image after normal distribution processing has two peaks. If the color of the target two-dimensional code image is colored, as shown in FIG. 6, the image after the normal distribution processing has a plurality of peaks, each peak represents a color, and then binarization processing is performed, The image data of the color is processed into image data corresponding to brightness in black and white.
  • the normalizing the processed luminance values to perform binarization processing to obtain target luminance values of each coordinate point including:
  • the brightness value of the coordinate point after the normal distribution processing is greater than or equal to the difference between the maximum brightness value and the preset threshold value, and the brightness value after the normal distribution processing is less than or equal to the maximum brightness value And the preset threshold value, the brightness value of the coordinate point is set to the brightness value corresponding to white; Then, if the brightness value of the coordinate point after the normal distribution processing is smaller than the difference between the maximum brightness value and the preset threshold value, or the brightness value after the normal distribution processing is greater than the maximum brightness value and the pre- When the sum of the threshold values is set, the brightness value of the coordinate point is set to the brightness value corresponding to black.
  • Y1 is the maximum brightness value among the brightness values of the coordinate points, and if the brightness value of the Y1 after the normal distribution processing is greater than or equal to the maximum brightness value and the preset threshold value, If the brightness value after the normal distribution processing is less than or equal to the sum of the maximum brightness value and the preset threshold value, the coordinate point brightness value is set to a white corresponding brightness value, that is, the brightness value.
  • the brightness value of the coordinate point after the normal distribution processing is smaller than the difference between the maximum brightness value and the preset threshold value, or the brightness value after the normal distribution processing is greater than the maximum brightness
  • the brightness value of the coordinate point is set to a brightness value corresponding to black, that is, the brightness value is 0.
  • the target two-dimensional code image is a color two-dimensional code
  • the maximum luminance value among the luminance values of the respective coordinate points, that is, the Y1 value is first found, and then the above judgment is performed.
  • the invisible light having the reflection characteristic is emitted to the target two-dimensional code image; the invisible light image data of the target two-dimensional code image is controlled by the camera; and the rectangular area of the target two-dimensional code image is determined; And a coordinate value and a brightness value of each coordinate point of the invisible light image data in the rectangular region; and the two-dimensional code information included in the target two-dimensional code image is identified according to the coordinate value and the brightness value of the coordinate point.
  • the two-dimensional code image recognition can be performed through the invisible light image data of the two-dimensional code image, thereby reducing the influence of the visible light reflection phenomenon on the two-dimensional code image recognition, and improving the effect of the two-dimensional code image recognition.
  • an embodiment of the present invention provides a mobile terminal, where the mobile terminal 700 includes:
  • the transmitting module 701 is configured to emit invisible light having a reflective characteristic to the target two-dimensional code image
  • the collecting module 702 is configured to control the camera to collect the invisible light image data of the target two-dimensional code image
  • the identification module 703 is configured to identify the two-dimensional code information included in the target two-dimensional code image based on the invisible light image data.
  • the identification module 703 includes:
  • Determining a sub-module 7031 configured to determine a rectangular area of the target two-dimensional code image
  • the obtaining submodule 7032 is configured to acquire coordinates of the invisible light image data in the rectangular area The coordinate value and brightness value of the point;
  • the identification submodule 7033 is configured to identify the two-dimensional code information included in the target two-dimensional code image according to the coordinate value and the brightness value of the coordinate point.
  • the determining submodule 7031 includes:
  • the collecting unit 70311 is configured to control the camera to collect visible light image data of the target two-dimensional code image
  • a first identifying unit 70312 configured to identify a coordinate value of an edge coordinate point of the visible light image data
  • the completion unit 70313 is configured to perform image completion processing based on the coordinate values of the edge coordinate points to obtain the rectangular region.
  • the identification submodule 7033 includes:
  • the normal distribution processing unit 70331 is configured to perform normal distribution processing on the luminance values of the coordinate points;
  • the binarization processing unit 70332 is configured to perform binarization processing on the luminance value after the normal distribution processing to obtain a target luminance value of the coordinate point;
  • the second identifying unit 70333 is configured to identify the two-dimensional code information included in the target two-dimensional code image according to the coordinate point and the target brightness value of the coordinate point.
  • the binarization processing unit 70332 includes:
  • the obtaining subunit 703321 is configured to acquire a maximum brightness value among the brightness values of the coordinate points after the normal distribution processing
  • the determining subunit 703322 is configured to: if the brightness value of the coordinate point after the normal distribution processing is greater than or equal to the difference between the maximum brightness value and the preset threshold value, and the brightness value after the normal distribution processing is smaller than Or equal to the sum of the maximum brightness value and the preset threshold value, the brightness value of the coordinate point is set to a brightness value corresponding to white; if the brightness value of the coordinate point after the normal distribution process is smaller than the maximum brightness value And the difference between the preset threshold value, or the brightness value after the normal distribution processing is greater than the sum of the maximum brightness value and the preset threshold value, setting the brightness value of the coordinate point to the brightness value corresponding to black .
  • the mobile terminal 700 can implement the process implemented by the mobile terminal in the method embodiment of FIG. 1 and FIG. And can achieve the same beneficial effects, in order to avoid duplication, no longer repeat here.
  • the identifying the two-dimensional code information included in the target two-dimensional code image based on the invisible light image data includes:
  • the two-dimensional code information included in the target two-dimensional code image is identified according to the coordinate value of the coordinate point and the brightness value.
  • the determining a rectangular area of the target two-dimensional code image includes:
  • Image complementation processing is performed based on coordinate values of the edge coordinate points to obtain the rectangular region.
  • the identifying, according to the brightness value and the coordinate value of the coordinate point, the two-dimensional code information included in the target two-dimensional code image including:
  • the normalizing the processed luminance values to perform binarization processing to obtain target luminance values of each coordinate point including:
  • the brightness value of the coordinate point after the normal distribution processing is greater than or equal to the difference between the maximum brightness value and the preset threshold value, and the brightness value after the normal distribution processing is less than or equal to the maximum brightness value And the preset threshold value, the brightness value of the coordinate point is set to a brightness value corresponding to white; if the brightness value of the coordinate point after the normal distribution process is smaller than the maximum brightness value and the preset threshold value If the difference is greater than the sum of the maximum brightness value and the preset threshold value, the brightness value of the coordinate point is set to a brightness value corresponding to black.
  • the storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
  • each module/unit in the above embodiment may be implemented in the form of hardware, for example, by implementing an integrated circuit to implement its corresponding function, or may be implemented in the form of a software function module, for example, executing a program stored in the memory by a processor. / instruction to achieve its corresponding function.
  • This application is not limited to any specific combination of hardware and software.
  • the above technical solution can reduce the influence of the reflection phenomenon of visible light on the recognition of the two-dimensional code image, and improve the effect of the image recognition of the two-dimensional code.

Abstract

一种二维码图像识别方法及移动终端，该方法包括：向目标二维码图像发射具有反射特性的不可见光（S101）；控制摄像头采集所述目标二维码图像的不可见光图像数据（S102）；基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息（S103）。该方法和移动终端可以通过二维码图像的不可见光图像数据来进行二维码图像识别，减少了可见光的反光现象对二维码图像识别的影响，提高了二维码图像识别的效果。

Description

一种二维码图像识别方法及移动终端 技术领域
本文涉及但不限于通信领域，涉及一种二维码图像识别方法及移动终端。
背景技术
随着科学技术的发展，移动终端的应用越来越广泛，特别是移动终端上的二维码图像识别，人们经常通过二维码图像识别实现一键上网、网上支付、查询定位以及下载资料等功能。相关的二维码图像识别过程中往往由于被拍摄的二维码图像表面出现反光现象，而造成识别后的二维码图像信息缺失，从而导致二维码图像识别失败。例如，通过移动终端A的摄像头去识别移动终端B的显示屏幕上的二维码，如果移动终端B的显示屏幕界面出现反光现象的话，这个时候就会导致二维码图像识别失败。可见，目前的二维码图像识别方法存在识别效果差的问题。
发明内容
以下是对本文详细描述的主题的概述。本概述并非是为了限制权利要求的保护范围。
本发明实施例提供一种二维码图像识别方法，解决了二维码图像识别效果差的问题。
本发明实施例提供一种二维码图像识别方法，包括：
向目标二维码图像发射具有反射特性的不可见光；
控制摄像头采集所述目标二维码图像的不可见光图像数据；
基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
本发明实施例还提供一种移动终端，包括：
发射模块，设置为向目标二维码图像发射具有反射特性的不可见光；
采集模块，设置为控制摄像头采集所述目标二维码图像的不可见光图像 数据；
识别模块，设置为基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
本发明实施例还提供一种计算机可读存储介质，所述计算机可读存储介质中存储有计算机可执行指令，所述计算机可执行指令被执行时实现二维码图像识别方法。
上述技术方案向目标二维码图像发射具有反射特性的不可见光；控制摄像头采集所述目标二维码图像的不可见光图像数据；基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。这样可以通过二维码图像的不可见光图像数据来进行二维码图像识别，减少了可见光的反光现象对二维码图像识别的影响，提高了二维码图像识别的效果。在阅读并理解了附图和详细描述后，可以明白其它方面。
附图说明
图1是本发明实施例提供的一种二维码图像识别方法的流程示意图；
图2是本发明实施例提供的一种不可见光发射装置的示意图；
图3是本发明实施例提供的另一种二维码图像识别方法的流程示意图；
图4是本发明实施例提供的一种矩形区域识别的示意图；
图5是本发明实施例提供的一种正态分布处理的示意图；
图6是本发明实施例提供的另一种正态分布处理的示意图；
图7是本发明实施例提供的一种移动终端的结构示意图；
图8是本发明实施例提供的另一种移动终端的结构示意图；
图9是本发明实施例提供的一种移动终端中的确定子模块的结构示意图；
图10是本发明实施例提供的一种移动终端中的识别子模块的结构示意图；
图11是本发明实施例提供的移动终端中的另一种识别子模块的结构示意图。
具体实施方式
下面将结合附图及具体实施例进行详细描述，应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
如图1所示，本发明实施例提供一种二维码图像识别方法，应用于移动终端，包括以下步骤：
步骤S101、向目标二维码图像发射具有反射特性的不可见光；
该步骤中，目标二维码图像即是该移动终端的待识别的二维码图像，可以向目标二维码图像发射具有反射特性的不可见光，通过在移动终端上增加一个可以发射不可见光的补光灯来实现。发射的不可见光可以是红外线、紫外线等具有反射特性的不可见光，补光灯的位置可以与摄像头的拍摄模块处于同一平面上，如图2所示，这样可以更好地保证摄像头采集到的补光灯发射的不可见光，当然也可以在前置摄像头的同一平面设置一补光灯。
步骤S102、控制摄像头采集所述目标二维码图像的不可见光图像数据；
该步骤中，摄像头采集的是目标二维码图像的不可见光图像数据，在采集的过程中对可见光图像数据进行过滤，该过滤方式可以是以下方式之一：
方式一：在摄像头的镜头前面增加可见光过滤镜片和不可见光过滤镜片，并且上述可见光过滤镜片和不可见光过滤镜片可以相互切换。可见光滤光片为仅允许可见光通过的滤光片，不可见光滤光片为仅允许对应波长的不可见光通过的滤光片。当需要进行不可见光图像数据采集的时候，可以将不可见光滤光片挡在镜头前，可见光滤光片离开镜头，采集不可见光图像；当需要进行可见光图像数据采集的时候，可以将可见光滤光片挡在镜头前，不可见光滤光片离开镜头，采集可见光图像。这样只要控制可见光过滤镜片和不可见光过滤镜片的相互切换就可以采集二维码图像的不可见光图像数据。方式二：控制摄像头采集包含不可见光图像数据和可见光数据的目标二维码图像数据，然后进行软件分离处理。例如，补光灯发射的是红外不可见光，它的波长大于760nm，而波长小于760nm的为可见光，这个时候通过对采集的图像数据中大于760nm的图像数据进行保存就可以得到目标二维码图像的不可见光图像数据。
步骤S103、基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
该步骤中，识别二维码图像中的二维码信息，该二维码信息包括坐标点的坐标值、坐标点的亮度值等等，根据这些二维码信息和二维码识别原则识别二维码图像。
本发明实施例中，上述移动终端可以为任何具备拍摄功能的移动终端，例如：手机、平板电脑(Tablet Personal Computer)、膝上型电脑(Laptop Computer)、个人数字助理(personal digital assistant，简称PDA)、移动上网装置(Mobile Internet Device，MID)或可穿戴式设备(Wearable Device)等。
本实施例中，向目标二维码图像发射具有反射特性的不可见光；控制摄像头采集所述目标二维码图像的不可见光图像数据；基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。这样可以通过二维码图像的不可见光图像数据来进行二维码图像识别，减少了可见光的反光现象对二维码图像识别的影响，提高了二维码图像识别的效果。
如图3所示，本发明实施例提供另一种二维码图像识别方法，包括以下步骤：
步骤S301、向目标二维码图像发射具有反射特性的不可见光；
该步骤中，目标二维码图像即是移动终端待识别的二维码图像，可以向目标二维码图像发射具有反射特性的不可见光，通过在移动终端上增加一个可以发射不可见光的补光灯来实现。发射的不可见光可以是红外线、紫外线等等具有反射特性的不可见光，补光灯的位置可以与摄像头的拍摄模块处于同一平面上，如图2所示，这样可以更好地保证摄像头采集到的补光灯发射的不可见光，当然也可以在前置摄像头的同一平面设置一补光灯。
步骤S302、控制摄像头采集所述目标二维码图像的不可见光图像数据；
该步骤中，摄像头采集的是目标二维码图像的不可见光图像数据，在采集的过程中对可见光图像数据进行过滤，该过滤方式可以是以下方式之一：
方式一：在摄像头的镜头前面增加可见光过滤镜片和不可见光过滤镜片， 并且上述可见光过滤镜片和不可见光过滤镜片可以相互切换。可见光滤光片为仅允许可见光通过的滤光片，不可见光滤光片为仅允许对应波长的不可见光通过的滤光片。当需要进行不可见光图像数据采集的时候，可以将不可见光滤光片挡在镜头前，可见光滤光片离开镜头，采集不可见光图像；当需要进行可见光图像数据采集的时候，可以将可见光滤光片挡在镜头前，不可见光滤光片离开镜头，采集可见光图像。这样只要控制可见光过滤镜片和不可见光过滤镜片的相互切换就可以采集二维码图像的不可见光图像数据。
方式二：控制摄像头采集包含不可见光图像数据和可见光数据的目标二维码图像数据，然后进行软件分离处理；例如，补光灯发射的是红外不可见光，它的波长大于760nm，而波长小于760nm的为可见光，这个时候通过对采集的图像数据中大于760nm的图像数据进行保存就可以得到目标二维码图像的不可见光图像数据。
步骤S303、确定所述目标二维码图像的矩形区域；
该步骤中，确定目标二维码的矩形区域，该矩形区域内包含的是二维码信息。
步骤S304、获取所述矩形区域内不可见光图像数据的坐标点的坐标值和亮度值。
该步骤中，每个坐标点表示一个不可见光图像数据，每个坐标点与图像数据的亮度值相对应，这样方便根据坐标点的坐标值和坐标点的亮度值进行二维码图像数据的解码和识别。
步骤S305、根据坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。
该步骤中，识别二维码图像中的二维码信息，该二维码信息包括坐标点的坐标值、坐标点的亮度值等，根据二维码信息和二维码识别原则识别二维码图像，因为每个二维码图像中的坐标点的坐标值与亮度值是唯一的，所以根据这些二维码链接所需要的信息。
可选的，所述确定所述目标二维码图像的矩形区域，包括：
控制摄像头采集所述目标二维码图像的可见光图像数据；
识别所述可见光图像数据的边缘坐标点的坐标值；
基于所述边缘坐标点的坐标值进行图像补全处理，以得到所述矩形区域。
该实施方式中，如图4所示，先确定可见光图像数据的边缘坐标点的坐标值，如果没有反光现象的话，上述边缘坐标的连接线就为一个矩形区域，如图4中的4b所示。如果存在反光现象的话，上述边缘坐标的连接线就会有一部分缺失，如图4中的4a所示，这个时候需要进行补全处理，即对边缘坐标点的连线进行延长处理得到四个交点，这四个交点的所在区域即所述矩形区域，并且将这个矩形区域的坐标值进行保存。
可选的，所述根据坐标点的亮度值和坐标值识别所述目标二维码图像中包含的二维码信息，包括：
对坐标点的亮度值进行正态分布处理；
将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值；
根据所述坐标点以及所述各坐标点的目标亮度值识别所述目标二维码图像中包含的二维码信息。
该实施方式中，对坐标点的亮度值进行正态分布处理会得到正态分布处理图，如图5所示，横坐标表示的是亮度值，纵坐标标识的是该亮度值的图像数据的数量，如果目标二维码图像的颜色为黑色和白色的话，正态分布处理后的图像有两个波峰。如果目标二维码图像的颜色为彩色的话，如图6所示，正态分布处理后的图像有多个波峰，每个波峰代表一种颜色，然后进行二值化处理，即可将多种颜色的图像数据处理为黑色和白色对应亮度的图像数据。
可选的，所述将所述正态分布处理后的亮度值进行二值化处理，以得到各坐标点的目标亮度值，包括：
获取所述正态分布处理后的坐标点的亮度值中的最大亮度值；
若所述正态分布处理后的坐标点的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，将该坐标点亮度值设定为白色对应的亮度值；否 则，若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设定为黑色对应的亮度值。
该实施方式中，如图5所示中，Y1为坐标点的亮度值中的最大亮度值，若正态分布处理后的Y1的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，，则将坐标点亮度值设定为白色对应的亮度值，即亮度值为255；否则，若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设定为黑色对应的亮度值即亮度值为0。当目标二维码图像为彩色二维码，这个时候先找出各坐标点的亮度值中的最大亮度值即Y1值，然后进行上述判断。
本实施例中，通过向目标二维码图像发射具有反射特性的不可见光；控制摄像头采集所述目标二维码图像的不可见光图像数据；确定所述目标二维码图像的矩形区域；获取所述矩形区域内不可见光图像数据的各坐标点的坐标值和亮度值；根据坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。这样可以通过二维码图像的不可见光图像数据来进行二维码图像识别，减少了可见光的反光现象对二维码图像识别的影响，提高了二维码图像识别的效果。
如图7所示，本发明实施例提供一种移动终端，移动终端700包括：
发射模块701，设置为向目标二维码图像发射具有反射特性的不可见光；
采集模块702，设置为控制摄像头采集所述目标二维码图像的不可见光图像数据；
识别模块703，设置为基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
可选的，如图8所示，所述识别模块703包括：
确定子模块7031，设置为确定所述目标二维码图像的矩形区域；
获取子模块7032，设置为获取所述矩形区域内不可见光图像数据的坐标 点的坐标值和亮度值；
识别子模块7033，设置为根据坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。
可选的，如图9所示，所述确定子模块7031包括：
采集单元70311，设置为控制摄像头采集所述目标二维码图像的可见光图像数据；
第一识别单元70312，设置为识别所述可见光图像数据的边缘坐标点的坐标值；
补全单元70313，设置为基于所述边缘坐标点的坐标值进行图像补全处理，以得到所述矩形区域。
可选的，如图10所示，所述识别子模块7033包括：
正态分布处理单元70331，设置为对坐标点的亮度值进行正态分布处理；
二值化处理单元70332，设置为将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值；
第二识别单元70333，设置为根据所述坐标点以及所述坐标点的目标亮度值识别所述目标二维码图像中包含的二维码信息。
可选的，如图11所示，所述二值化处理单元70332包括：
获取子单元703321，设置为获取所述正态分布处理后的坐标点的亮度值中的最大亮度值；
判断子单元703322，设置为若所述正态分布处理后的坐标点的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，将该坐标点亮度值设置为白色对应的亮度值；若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设置为黑色对应的亮度值。
移动终端700能够实现图1和图3的方法实施例中移动终端实现的过程， 以及能达到相同的有益效果，为避免重复，这里不再赘述。
本领域普通技术人员可以理解实现上述实施例方法的全部或者部分步骤是可以通过程序指令相关的硬件来完成，所述的程序可以存储于一计算机可读取介质中，该程序在执行时，包括以下步骤：
向目标二维码图像发射具有反射特性的不可见光；
控制摄像头采集所述目标二维码图像的不可见光图像数据；
基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
可选的，所述基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息，包括：
确定所述目标二维码图像的矩形区域；
获取所述矩形区域内不可见光图像数据的坐标点的坐标值和亮度值；
根据坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。
可选的，所述确定所述目标二维码图像的矩形区域，包括：
控制摄像头采集所述目标二维码图像的可见光图像数据；
识别所述可见光图像数据的边缘坐标点的坐标值；
基于所述边缘坐标点的坐标值进行图像补全处理，以得到所述矩形区域。
可选的，所述根据坐标点的亮度值和坐标值识别所述目标二维码图像中包含的二维码信息，包括：
对坐标点的亮度值进行正态分布处理；
将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值；
根据所述坐标点以及所述坐标点的目标亮度值识别所述目标二维码图像中包含的二维码信息。
可选的，所述将所述正态分布处理后的亮度值进行二值化处理，以得到各坐标点的目标亮度值，包括：
获取所述正态分布处理后的坐标点的亮度值中的最大亮度值；
若所述正态分布处理后的坐标点的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，将该坐标点亮度值设定为白色对应的亮度值；若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设定为黑色对应的亮度值。
所述的存储介质，如只读存储器(Read-Only Memory，简称ROM)、随机存取存储器(Random Access Memory，简称RAM)、磁碟或者光盘等。
以上所述是本申请的可选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请所述原理的前提下，还可以作出若干改进和润饰，这些改进和润饰也应视为本申请的保护范围。本领域普通技术人员可以理解上述方法中的全部或部分步骤可通过程序来指令相关硬件(例如处理器)完成，所述程序可以存储于计算机可读存储介质中，如只读存储器、磁盘或光盘等。可选地，上述实施例的全部或部分步骤也可以使用一个或多个集成电路来实现。相应地，上述实施例中的各模块/单元可以采用硬件的形式实现，例如通过集成电路来实现其相应功能，也可以采用软件功能模块的形式实现，例如通过处理器执行存储于存储器中的程序/指令来实现其相应功能。本申请不限制于任何特定形式的硬件和软件的结合。本领域的普通技术人员应当理解，可以对本申请的技术方案进行修改或者等同替换，而不脱离本申请技术方案的精神和范围，均应涵盖在本申请的权利要求范围当中。
工业实用性
上述技术方案可以减少可见光的反光现象对二维码图像识别的影响，提高二维码图像识别的效果。

Claims (10)

  1. 一种二维码图像识别方法，应用于移动终端，包括：
    向目标二维码图像发射具有反射特性的不可见光；
    控制摄像头采集所述目标二维码图像的不可见光图像数据；
    基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
  2. 根据权利要求1所述的方法，其中，所述基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息，包括：
    确定所述目标二维码图像的矩形区域；
    获取所述矩形区域内不可见光图像数据的坐标点的坐标值和亮度值；
    根据所述坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。
  3. 根据权利要求2所述的方法，其中，所述确定所述目标二维码图像的矩形区域，包括：
    控制摄像头采集所述目标二维码图像的可见光图像数据；
    识别所述可见光图像数据的边缘坐标点的坐标值；
    基于所述边缘坐标点的坐标值进行图像补全处理，以得到所述矩形区域。
  4. 根据权利要求2或者3所述的方法，其中，所述根据所述坐标点的亮度值和坐标值识别所述目标二维码图像中包含的二维码信息，包括：
    对坐标点的亮度值进行正态分布处理；
    将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值；
    根据所述坐标点以及所述坐标点的目标亮度值识别所述目标二维码图像中包含的二维码信息。
  5. 根据权利要求4所述的方法，其中，所述将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值，包括：
    获取所述正态分布处理后的坐标点的亮度值中的最大亮度值；
    若所述正态分布处理后的坐标点的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，则将该坐标点亮度值设定为白色对应的亮度值；若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设定为黑色对应的亮度值。
  6. 一种移动终端，包括：
    发射模块，设置为向目标二维码图像发射具有反射特性的不可见光；
    采集模块，设置为控制摄像头采集所述目标二维码图像的不可见光图像数据；
    识别模块，设置为基于所述不可见光图像数据识别所述目标二维码图像中包含的二维码信息。
  7. 根据权利要求6所述的移动终端，其中，所述识别模块包括：
    确定子模块，设置为确定所述目标二维码图像的矩形区域；
    获取子模块，设置为获取所述矩形区域内不可见光图像数据的坐标点的坐标值和亮度值；
    识别子模块，设置为根据坐标点的坐标值和亮度值识别所述目标二维码图像中包含的二维码信息。
  8. 根据权利要求7所述的移动终端，其中，所述确定子模块包括：
    采集单元，设置为控制摄像头采集所述目标二维码图像的可见光图像数据；
    第一识别单元，设置为识别所述可见光图像数据的边缘坐标点的坐标值；
    补全单元，设置为基于所述边缘坐标点的坐标值进行图像补全处理，以得到所述矩形区域。
  9. 根据权利要求6或者7所述的移动终端，其中，所述识别子模块包括：
    正态分布处理单元，设置为对坐标点的亮度值进行正态分布处理；
    二值化处理单元，设置为将所述正态分布处理后的亮度值进行二值化处理，以得到坐标点的目标亮度值；
    第二识别单元，设置为根据所述坐标点以及所述坐标点的目标亮度值识别所述目标二维码图像中包含的二维码信息。
  10. 根据权利要求9所述的移动终端，其中，所述二值化处理单元包括：
    获取子单元，设置为获取所述正态分布处理后的坐标点的亮度值中的最大亮度值；
    判断子单元，设置为若所述正态分布处理后的坐标点的亮度值大于或者等于所述最大亮度值与预设门限值之差，且所述正态分布处理后的亮度值小于或者等于所述最大亮度值与预设门限值之和，则将该坐标点亮度值设定置为白色对应的亮度值；若所述正态分布处理后的坐标点的亮度值小于所述最大亮度值与预设门限值之差，或者所述正态分布处理后的亮度值大于所述最大亮度值与预设门限值之和，则将该坐标点的亮度值设定为黑色对应的亮度值。
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