WO2018006847A1 - 一种基于移动终端的人脸识别优化方法及系统 - Google Patents

一种基于移动终端的人脸识别优化方法及系统 Download PDF

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Publication number
WO2018006847A1
WO2018006847A1 PCT/CN2017/091990 CN2017091990W WO2018006847A1 WO 2018006847 A1 WO2018006847 A1 WO 2018006847A1 CN 2017091990 W CN2017091990 W CN 2017091990W WO 2018006847 A1 WO2018006847 A1 WO 2018006847A1
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face recognition
thermal sensation
mobile terminal
feature
infrared thermal
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French (fr)
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尤雅各
张明秋
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JRD Communication Shenzhen Ltd
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JRD Communication Shenzhen Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G06F9/542—Event management; Broadcasting; Multicasting; Notifications
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G06V10/143—Sensing or illuminating at different wavelengths
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10048—Infrared image

Definitions

  • the present invention relates to the field of mobile terminals, and in particular, to a method and system for optimizing face recognition based on a mobile terminal.
  • Face recognition technology has gradually matured, and there are many applications in banks, customs and other systems. However, there are not many applications of face recognition technology in mobile phones and tablet computers.
  • One of the most important reasons is that the current camera only supports flat face recognition, and cannot perform 3D face recognition. This can lead to the use of photos or videos to crack the face, security is not guaranteed.
  • the technical problem to be solved by the present invention is to provide a face recognition optimization method and system based on a mobile terminal for the above-mentioned drawbacks of the prior art.
  • the invention is based on an infrared module, and improves the security of face recognition by judging whether the object has the characteristics of a real person, that is, the generation of infrared thermal sensation.
  • a face recognition optimization method based on a mobile terminal which comprises:
  • the recognized object does not have the infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person, if the character feature result is determined to be a photo or a video, the face recognition failure is prompted;
  • the face recognition is controlled.
  • step A the method further includes:
  • An infrared module for detecting whether there is an infrared thermal sensation is set in advance on the mobile terminal.
  • a face recognition optimization method based on a mobile terminal which comprises:
  • control is performed for face recognition.
  • the mobile terminal-based face recognition optimization method wherein before the step A, the method further includes:
  • An infrared module for detecting whether there is an infrared thermal sensation is set in advance on the mobile terminal.
  • step B further includes:
  • the face recognition is controlled.
  • step B further includes:
  • the recognized object does not have the infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person
  • the character feature result is determined to be a photo or a video, the face recognition failure is prompted.
  • a face recognition optimization system based on a mobile terminal which comprises:
  • the infrared inspection module is configured to determine a thermal sensation of the object when face recognition is required, and detect whether an infrared thermal sensation is generated to determine whether the feature has a real face;
  • a face recognition control module if it is detected that the recognized object does not have an infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person, the face recognition fails; if the recognized object is detected to have an infrared heat sensation The phenomenon that the object person has the characteristics of the real person controls the face recognition.
  • the mobile terminal-based face recognition optimization system further includes:
  • a pre-setting module is provided for setting an infrared module for detecting whether there is an infrared thermal sensation on the mobile terminal in advance.
  • the mobile terminal-based face recognition optimization system wherein the face recognition control module includes:
  • the face recognition unit is configured to control face recognition if it is detected that the recognized object has an infrared thermal sensation phenomenon, that is, the object character has a feature of a real person, and an algorithm is called.
  • the mobile terminal-based face recognition optimization system wherein the face recognition control module includes:
  • the face recognition failure prompting unit is configured to prompt the face recognition to fail if it is detected that the recognized object does not have the infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person, and if the character feature result is a photo or a video.
  • the mobile terminal-based face recognition optimization method and system provided by the present invention adopts an infrared module to determine whether a person object has an infrared thermal sensation phenomenon, and if a character has a thermal sensation, a traditional face recognition algorithm is combined. Perform face recognition. If the character does not have a sense of heat, the object is judged to be a virtual character, that is, a photo or a video. The operation of the entire infrared module can be completed in milliseconds without affecting the efficiency of the entire face recognition system.
  • the invention is based on an infrared module, which improves the security of face recognition by judging whether the object has the characteristics of a real person, that is, generating an infrared thermal sensation.
  • FIG. 1 is a flow chart of a preferred embodiment of a face recognition optimization method based on a mobile terminal of the present invention.
  • FIG. 2 is a functional block diagram of a preferred embodiment of a face recognition optimization system based on a mobile terminal of the present invention.
  • FIG. 1 is a flowchart of a preferred embodiment of a method for optimizing a face recognition based on a mobile terminal according to the present invention.
  • a face recognition optimization method based on a mobile terminal which comprises:
  • Step S10 An infrared module for detecting whether there is an infrared thermal sensation is set in advance on the mobile terminal.
  • the present invention needs to set an infrared module for detecting whether there is an infrared thermal sensation on the mobile terminal mobile phone.
  • an infrared module for detecting whether there is an infrared thermal sensation on the mobile terminal mobile phone.
  • the step can be omitted.
  • step S100 when face recognition is required, the thermal sensation phenomenon of the object is determined, and it is detected whether an infrared thermal sensation is generated to determine whether the feature has a real face; otherwise, the process proceeds to step S200, and if yes, the process proceeds to step S300.
  • step S300 when face recognition is required, the thermal sensation phenomenon of the recognized object is judged, and the infrared sensation phenomenon of the object is judged by the infrared module provided on the mobile phone, and whether the feature of the real face is present. If the judgment fails, that is, the object character does not have the feature of the real person, the process proceeds to step S200. If the judgment is successful, that is, the subject person has the feature of the real person, it proceeds to step S300.
  • Step S200 If it is detected that the recognized object does not have the infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person, the face recognition fails.
  • the recognized object does not have the infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person
  • the character feature result is determined to be a photo or a video, the face recognition failure is prompted.
  • Step S300 if it is detected that the recognized object has an infrared thermal sensation phenomenon, that is, the target person has the feature of the real person, then the face recognition is controlled.
  • the face recognition is controlled.
  • the method embodiment of the present invention determines whether the character object has an infrared thermal sensation phenomenon through the infrared module, and if the character has a thermal sensation, the face recognition algorithm is combined with the conventional face recognition algorithm. If the character does not have a sense of heat, the object is judged to be a virtual character, that is, a photo or a video.
  • the operation of the entire infrared module can be completed in milliseconds without affecting the efficiency of the entire face recognition system.
  • the present invention further provides a face recognition optimization system based on a mobile terminal.
  • the system includes:
  • the infrared inspection module 210 is configured to determine a thermal sensation of the object when face recognition is required, and detect whether an infrared thermal sensation is generated to determine whether the feature has a real face; as described above.
  • the face recognition control module 220 is configured to prompt face recognition failure if it is detected that the recognized object does not have an infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person; if the recognized object has infrared heat detected The sensation phenomenon, that is, the object character has the characteristics of the real person, then controls the face recognition; as described above.
  • the preset module 230 is configured to preset an infrared module for detecting whether there is an infrared thermal sensation on the mobile terminal; as described above.
  • the face recognition control module includes:
  • the face recognition unit is configured to control the face recognition if it is detected that the recognized object has an infrared thermal sensation phenomenon, that is, the object character has the feature of the real person, and the algorithm is called, as described above.
  • the face recognition control module comprises:
  • a face recognition failure prompting unit configured to prompt face recognition failure if it is detected that the recognized object does not have an infrared thermal sensation phenomenon, that is, the object character does not have the feature of the real person, and if the character feature result is a photo or a video; Specifically as described above.
  • the mobile terminal-based face recognition optimization method and system adopts an infrared module to determine whether a person object has an infrared thermal sensation phenomenon, and if a character has a thermal sensation, then combines the traditional Face recognition algorithm for face recognition. If the character does not have a sense of heat, the object is judged to be a virtual character, that is, a photo or a video.
  • the operation of the entire infrared module can be completed in milliseconds without affecting the efficiency of the entire face recognition system.
  • the invention is based on an infrared module, which improves the security of face recognition by judging whether the object has the characteristics of a real person, that is, generating an infrared thermal sensation.
  • a computer program to instruct related hardware (such as a processor, a controller, etc.), and the program can be stored in one.
  • the program when executed, may include the processes of the various method embodiments as described above.
  • the storage medium described therein may be a memory, a magnetic disk, an optical disk, or the like.

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Abstract

本发明公开了一种基于移动终端的人脸识别优化方法及系统，所述方法包括：当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。本发明由于采用了通过红外模块判断人物对象是否具有红外热感现象，整个红外模块的运作可以在毫秒级内完成，不影响整个人脸识别系统的效率。本发明提高人脸识别的安全性。

Description

一种基于移动终端的人脸识别优化方法及系统
【技术领域】
本发明涉及移动终端领域，尤其涉及的是一种基于移动终端的人脸识别优化方法及系统。
【背景技术】
人脸识别技术已经逐渐成熟，在银行、海关等系统中已经有许多的应用。但是人脸识别技术在手机以及平板电脑中的应用却不多，其中很重要的一个原因是当前的摄像头只支持平面人脸识别，而无法进行3D的人脸识别。这会导致使用照片或这视频都可以对人脸进行破解，安全性无法保障。
因此，现有技术还有待于改进和发展。
【发明内容】
本发明要解决的技术问题在于，针对现有技术的上述缺陷，提供一种基于移动终端的人脸识别优化方法及系统。本发明基于红外模块，通过判断对象是否具有真人的特征，即有红外热感的产生，提高了人脸识别的安全性。
本发明解决技术问题所采用的技术方案如下：
一种基于移动终端的人脸识别优化方法，其中，包括：
A、当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
B、如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败；
如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
其中，所述步骤A之前还包括：
S、预先在移动终端上设置用于检测是否有红外热感的红外模块。
一种基于移动终端的人脸识别优化方法，其中，包括：
A、当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
B、如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；
如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。
所述基于移动终端的人脸识别优化方法，其中，所述步骤A之前还包括：
S、预先在移动终端上设置用于检测是否有红外热感的红外模块。
所述基于移动终端的人脸识别优化方法，其中，所述步骤B还包括：
如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
所述基于移动终端的人脸识别优化方法，其中，所述步骤B还包括：
如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败。
一种基于移动终端的人脸识别优化系统，其中，包括：
红外检查模块，用于当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
人脸识别控制模块，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。
所述基于移动终端的人脸识别优化系统，其中，还包括：
预先设置模块，用于预先在移动终端上设置用于检测是否有红外热感的红外模块。
所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
人脸识别单元，用于如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
人脸识别失败提示单元，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败。
本发明所提供的基于移动终端的人脸识别优化方法及系统，由于采用了通过红外模块判断人物对象是否具有红外热感现象，如果人物有热感产生，则再结合传统的人脸识别算法，进行人脸识别。如果人物不具有热感，则判断对象为虚拟人物，即照片或视频。整个红外模块的运作可以在毫秒级内完成，不影响整个人脸识别系统的效率。本发明基于红外模块，通过判断对象是否具有真人的特征，即有红外热感的产生，借此提高人脸识别的安全性。
【附图说明】
图1是本发明基于移动终端的人脸识别优化方法的较佳实施例的流程图。
图2是本发明基于移动终端的人脸识别优化系统的较佳实施例的功能原理框图。
【具体实施方式】
下面结合附图和实施例对本发明进行详细说明。
请参见图1，图1是本发明基于移动终端的人脸识别优化方法的较佳实施例的流程图。一种基于移动终端的人脸识别优化方法，其中，包括：
步骤S10、预先在移动终端上设置用于检测是否有红外热感的红外模块。
本发明在具体实施例前需要在移动终端手机上设置用于检测是否有红外热感的红外模块，当然如果手机出厂已经设置有红外模块，则可以省去此步骤。
步骤S100、当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；当否则进入步骤S200，当是则进入步骤S300。
本步骤中，本发明中，当需进行人脸识别时，判断被识别的对象的热感现象，通过设置在手机上的红外模块判断对象的热感现象，是否具有真实人脸的特征。如果判断失败，即对象人物不具有真实人物的特征，则进入步骤S200、。如果判断成功，即对象人物具有真实人物的特征,则进入步骤S300。
步骤S200、如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败。
如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败。
步骤S300、如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。
即本步骤中，如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
由上可见，本发明方法实施例，通过红外模块判断人物对象是否具有红外热感现象，如果人物有热感产生，则再结合传统的人脸识别算法，进行人脸识别。如果人物不具有热感，则判断对象为虚拟人物，即照片或视频。整个红外模块的运作可以在毫秒级内完成，不影响整个人脸识别系统的效率。
基于上述方法实施例，本发明还提供了一种基于移动终端的人脸识别优化系统，如图2所示，所述系统包括：
红外检查模块210，用于当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；具体如上所述。
人脸识别控制模块220，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别；具体如上所述。
预先设置模块230，用于预先在移动终端上设置用于检测是否有红外热感的红外模块；具体如上所述。
进一步地，所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
人脸识别单元，用于如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别；具体如上所述。
进一步，所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
人脸识别失败提示单元，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败；具体如上所述。
综上所述，本发明所提供的基于移动终端的人脸识别优化方法及系统，由于采用了通过红外模块判断人物对象是否具有红外热感现象，如果人物有热感产生，则再结合传统的人脸识别算法，进行人脸识别。如果人物不具有热感，则判断对象为虚拟人物，即照片或视频。整个红外模块的运作可以在毫秒级内完成，不影响整个人脸识别系统的效率。本发明基于红外模块，通过判断对象是否具有真人的特征，即有红外热感的产生，借此提高人脸识别的安全性。
当然，本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关硬件（如处理器，控制器等）来完成，所述的程序可存储于一计算机可读取的存储介质中，该程序在执行时可包括如上述各方法实施例的流程。其中所述的存储介质可为存储器、磁碟、光盘等。
以上所述仅为本发明的实施方式，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (10)

  1. 一种基于移动终端的人脸识别优化方法，其中，包括：
    A、当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
    B、如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败；
    如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
  2. 根据权利要求1所述基于移动终端的人脸识别优化方法，其中，所述步骤A之前还包括：
    S、预先在移动终端上设置用于检测是否有红外热感的红外模块。
  3. 一种基于移动终端的人脸识别优化方法，其中，包括：
    A、当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
    B、如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；
    如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。
  4. 根据权利要求3所述基于移动终端的人脸识别优化方法，其中，所述步骤A之前还包括：
    S、预先在移动终端上设置用于检测是否有红外热感的红外模块。
  5. 根据权利要求3所述基于移动终端的人脸识别优化方法，其中，所述步骤B还包括：
    如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
  6. 根据权利要求3所述基于移动终端的人脸识别优化方法，其中，所述步骤B还包括：
    如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败。
  7. 一种基于移动终端的人脸识别优化系统，其中，包括：
    红外检查模块，用于当需进行人脸识别时，判断对象的热感现象，检测是否有红外热感产生，以判断是否具有真实人脸的特征；
    人脸识别控制模块，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则提示人脸识别失败；如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，则控制进行人脸识别。
  8. 根据权利要求7所述基于移动终端的人脸识别优化系统，其中，还包括：
    预先设置模块，用于预先在移动终端上设置用于检测是否有红外热感的红外模块。
  9. 根据权利要求7所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
    人脸识别单元，用于如果检测到被识别的对象具有红外热感现象，即对象人物具有真实人物的特征，调用其算法，则控制进行人脸识别。
  10. 根据权利要求7所述基于移动终端的人脸识别优化系统，其中，人脸识别控制模块包括：
    人脸识别失败提示单元，用于如果检测到被识别的对象不具有红外热感现象，即对象人物不具有真实人物的特征，则判断人物特征结果为照片或视频，则提示人脸识别失败。
PCT/CN2017/091990 2016-07-06 2017-07-06 一种基于移动终端的人脸识别优化方法及系统 Ceased WO2018006847A1 (zh)

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