WO2015172514A1 - Dispositif et procédé d'acquisition d'image - Google Patents
Dispositif et procédé d'acquisition d'image Download PDFInfo
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- WO2015172514A1 WO2015172514A1 PCT/CN2014/088977 CN2014088977W WO2015172514A1 WO 2015172514 A1 WO2015172514 A1 WO 2015172514A1 CN 2014088977 W CN2014088977 W CN 2014088977W WO 2015172514 A1 WO2015172514 A1 WO 2015172514A1
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- face
- iris
- imaging module
- image
- lens
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000003384 imaging method Methods 0.000 claims abstract description 194
- 238000012545 processing Methods 0.000 claims abstract description 17
- 230000003287 optical effect Effects 0.000 claims description 18
- 230000001815 facial effect Effects 0.000 abstract description 8
- 230000000694 effects Effects 0.000 abstract description 4
- 210000000554 iris Anatomy 0.000 description 182
- 238000010586 diagram Methods 0.000 description 12
- 230000008569 process Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 238000001514 detection method Methods 0.000 description 4
- 210000000887 face Anatomy 0.000 description 4
- 238000005286 illumination Methods 0.000 description 4
- 239000011521 glass Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/197—Matching; Classification
Definitions
- the present invention relates to the field of biometrics, and in particular to an image acquisition apparatus and method.
- the existing face and iris image acquisition and recognition devices generally have more than two imaging cameras.
- the image acquisition system uses a face camera to collect face information, and then uses a computer to analyze the collected face information to obtain control.
- the information is controlled by the stepper motor to drive the iris camera to adjust the shooting angle or the focal length of the iris camera.
- the iris information is collected by the adjusted iris camera, and the whole collection device is large in volume and complicated in structure, resulting in complicated operation of acquiring images. .
- the main object of the present invention is to provide an image acquisition apparatus and method to solve the problem of complicated operation when collecting a face image and an iris image in the prior art.
- an image pickup apparatus includes: a face imaging module for collecting a face image of a target object; and an iris imaging module for collecting an iris image of the target object, wherein the iris imaging module and the face imaging module are configured according to the face imaging module Predetermined position And a control processing unit, configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within the predetermined range.
- an image collection method includes: collecting a face image of the target object through the face imaging module; detecting whether the collected face image is within a predetermined range; and if the face image is within the predetermined range,
- the iris imaging module is configured to collect the iris image of the target object, wherein the facial imaging module and the iris imaging module are fixedly disposed according to a predetermined position.
- the invention adopts a face imaging module for collecting a face image of a target object, and an iris imaging module for collecting an iris image of the target object, wherein the iris imaging module and the face imaging module are in accordance with a predetermined position. a fixed setting; a control processing unit, configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within a predetermined range, and solve the prior art method for collecting the face image and The operation of the iris image is more complicated, and the effect of collecting the face image and the iris image is achieved.
- FIG. 1 is a schematic structural view of an image pickup device according to a first embodiment of the present invention
- FIG. 2 is a schematic structural diagram of an image capture device according to a second embodiment of the present invention.
- FIG. 3 is a schematic diagram of a face positioning prompt box according to an embodiment of the present invention.
- FIG. 4 is a schematic diagram of an iris imaging module and a face imaging module arranged up and down according to an embodiment of the invention
- FIG. 5 is a schematic diagram of left and right arrangement of an iris imaging module and a face imaging module according to an embodiment of the invention
- FIG. 6 is a schematic diagram of a collection device applied to a mobile phone according to an embodiment of the present invention.
- FIG. 7a to 7c are schematic diagrams of outputting prompt information according to an embodiment of the present invention, wherein FIG. 7a is a schematic diagram showing the front of the front view, FIG. 7b is a schematic diagram showing the leftward bias, and FIG. 7c is a schematic diagram showing the rightward bias;
- FIG. 8 is a flowchart of an image collection method according to an embodiment of the present invention.
- FIG. 9 is a flow chart of an image acquisition method in accordance with a preferred embodiment of the present invention.
- An embodiment of the invention provides an image acquisition device.
- the image acquisition device provided by the embodiment of the invention can be used in the field of biometric identification, and the combination of the face image and the iris image can improve the accuracy of the biometric recognition by combining the two biometric recognition technologies.
- the image acquisition device includes a face imaging module 12, an iris imaging module 13, and a control processing unit 16, as shown in FIG.
- the face imaging module 12 is configured to collect a face image of the target object.
- the iris imaging module 13 is configured to collect an iris image of the target object, wherein the iris imaging module and the face imaging module are fixedly disposed according to a predetermined position.
- the control processing unit 16 is configured to detect whether the face image is within a predetermined range, and control the iris imaging module to collect the iris image when the face image is within a predetermined range.
- the face imaging module collects the face image of the target object
- the iris imaging module collects the iris image of the target object
- the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position, that is, the positions of the two imaging units are fixed. It is not necessary to adjust the position and angle of both when collecting the face image and the iris image.
- the face image is relatively easy to collect
- the control processing unit controls the iris imaging module to collect the iris image.
- the suitable iris image is an image that can be used for iris recognition. When the control processing unit controls the iris imaging module to collect the iris image, it is not necessary to adjust the position or angle of the iris imaging module, and only needs to control the collection of the iris image.
- the iris imaging module when the face image is detected to be within a predetermined range, the iris imaging module is controlled to collect the iris image. Since the iris imaging module and the face imaging module are fixedly arranged according to a predetermined position, the iris is not imaged during the control process. The iris image can be acquired by adjusting the position and angle of the module. Wherein, when the face image is ensured to be clear, that is, the face image is within a predetermined range, that is, the face is within the depth of field range introduced in the following scheme, the face image is in the face positioning prompt box.
- the iris has the same depth of field as the face imaging module.
- the device further includes a self-feedback unit 11 configured to output prompt information when the control processing unit detects that the face image is not in the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
- a self-feedback unit 11 configured to output prompt information when the control processing unit detects that the face image is not in the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
- the self-feedback unit 11 can display the collected face image, and when the distance measuring unit 14 shown in FIG. 1 detects that the distance between the collecting device and the target object reaches a certain range, the face image collected by the face imaging unit is displayed.
- the ranging unit performs distance measurement by a distance measuring sensor such as laser, ultrasonic or infrared, and monitors the distance between the target object and the device in real time, and feeds the measured distance to the control processing unit.
- the self-feedback unit can By displaying a prompt box to prompt the target object to change the distance between the target device and the collecting device, for example, an elliptical prompt box similar to the face shape is displayed on the self-feedback unit, that is, the face positioning prompt box 211 shown in FIG. 3, along with The distance between the target object and the device changes, and the size of the face positioning prompt box changes accordingly.
- the face positioning prompt box is larger, so when the target object is within the working range of the face imaging module, the gesture and the face image 212 can be adjusted in the face positioning prompt box to collect the face and the iris image.
- the collected face image and iris image can be used for identity authentication.
- the arrangement can be performed in the following two arrangement manners.
- the iris imaging module and the face imaging module are arranged adjacent to each other in the vertical direction.
- Figure 4 shows the schematic diagram of the iris imaging module and the face imaging module.
- the face imaging module 321 and the iris imaging module 331 are arranged in an upper and lower direction.
- the iris imaging module is located above, the face imaging module is located below, or the face imaging module is located above, the iris imaging module is located below, and the shooting angle range of the face imaging module covers the angle of the iris imaging module Coverage.
- the iris lens optical axis is at an angle to the face lens optical axis. When the human face lens can capture a frontal face image, the iris lens can capture the viewing angle of the human eye region.
- the iris imaging module is located above, and the face imaging module is located below.
- the iris lens optical axis is horizontal, that is, the optical axis of the iris lens is perpendicular to the plane of the iris lens.
- the iris lens is placed on the same horizontal line as the human eye, and the face lens is placed at a certain oblique angle to ensure that the iris imaging module at the same position captures the binocular iris image, the face imaging mode.
- the group takes a frontal face image.
- the target object can easily adjust the eyes to the horizontal position of the iris lens, thereby avoiding the problem that the reflected iris is not clear due to the reflection of the light, and thus the iris lens and the face lens are not adjusted.
- you position you can also capture clear iris images and face images.
- the iris lens is placed above the face lens, and the face lens is placed at an angle to the plane of the iris lens.
- the iris lens is provided. Adjacent to the face lens, it can be separated by a predetermined distance, which can be finely adjusted according to the size of the lens.
- FIG. 6 is a schematic diagram of the left and right arrangement of the iris imaging module and the face imaging module.
- the iris imaging module 331 is located at the center of the entire device, and the face imaging module 321 is located at the left or right side of the iris imaging module 331 .
- the angle of view of the iris imaging module covers the range in which the human eye 301 is located, and the optical axis is at a position between the eyes, preferably at an intermediate point between the eyes, thus collecting
- the iris image is the front iris image of both eyes.
- the distance L between the face imaging module and the iris imaging module is preferably between 5-30 mm, so as to ensure that the image captured by the face module is not too far left or right in the display.
- the iris imaging module comprises an iris lens
- the face imaging module comprises a face lens.
- the iris head image can be collected when the face image is collected, and the iris imaging does not need to be adjusted.
- the planes are perpendicular to each other and are used to be at the same horizontal line as the human eye of the target object when acquiring the iris image.
- the optical axis of the face lens has an angle with the optical axis of the iris lens for capturing a frontal face image when capturing a face image.
- the field of view of the face imaging module 321 ranges from 50° ⁇ ⁇ ⁇ 75°.
- the iris imaging module 331 has an angle of view of 20° ⁇ ⁇ ⁇ 45°, preferably 38°.
- the field of view of the iris imaging module covers the face of the person, and the optical axis is substantially horizontal to the human eye.
- the range of the field of view of the face imaging module covers the range of the field of view of the iris imaging module.
- the angle and position of the target object can also enable the iris imaging module to collect the iris image when collecting the iris image.
- the iris imaging module collects the iris image, that is, the iris image and the face image that meet the requirements can be obtained without complicated adjustment and operation of the face imaging module and the iris imaging module.
- the face imaging module and the iris imaging module have a depth of field of 30-50 cm, and the face imaging module and the iris imaging module are placed adjacent to each other, and the field of view of the face imaging module covers the field of view of the iris imaging module.
- the optical axis of the face imaging module and the iris imaging module has an angle of 6° ⁇ ⁇ ⁇ 10° in the vertical direction. Since the iris imaging module is preferentially positioned in the opposite eyes when the face imaging module and the iris imaging module are set, the position of the face imaging module is relatively biased, so as to ensure that the face imaging module captures a suitable front.
- the face image has a certain angle between the optical axis and the iris imaging module when the face imaging module is set, preferably at the position where the face is located, and the optical axis of the iris imaging module and the iris imaging module intersect At one point, it is preferable that the iris imaging module captures a suitable binocular iris image at the same position within a shooting range of 30-50 cm from the face, and the face imaging module captures a suitable frontal face image.
- the distance L between the face imaging module and the iris imaging module is preferably between 5-30 mm, and the angle between the face imaging module and the iris imaging module is ⁇ . It needs to meet 6° ⁇ ⁇ ⁇ 10°, which is the same as the principle of the upper and lower arrangement. The angle is to ensure that the image taken by the face module is not too far left or right, but the front image of the face.
- a lighting unit 15 may be further provided for providing a near-infrared light source.
- the storage unit 17 can also be provided for the convenience of storing the operating parameters and image data of the device.
- the self-feedback unit in the above embodiment may display a face positioning prompt box, and may also output an acousto-optic prompt.
- the text information “Please face the front” as shown in FIG. 7a can be output; if the collected face image is as shown in FIG. 7b, the text information “Please turn left” can be output. If the collected face image is as shown in Fig. 7c, the text message "Please turn to the right” can be output. It can also be seen from FIG.
- the target object is adjusted to adjust the angle of the face, for example, Adjusting the distance between the face and the device adjusts the size of the collected face image, and adjusts the deflection angle of the face so that the face image collected by the device is a front image.
- the control processing unit analyzes the collected face image to determine whether the posture of the target object is appropriate, and issues a prompt message.
- the prompt information sent includes information such as sound, text, and color, but is not limited to these forms, and the face positioning prompt box in the drawing is only a schematic function, and may also be a dotted frame such as a square. Or a solid frame or the like, the form of the drawing is not intended to limit the form of the prompt box in the embodiment of the present invention.
- the image capture device described above can be used on mobile phones, tablets, PCs, and access control for image recognition by analyzing captured images for unlocking, payment, and the like.
- the above image acquisition device is disposed on a mobile phone as shown in FIG.
- the image capturing device comprises an iris imaging module 33, a face imaging module 32, a ranging unit 34, a lighting unit 352 and a lighting unit 351, and a mobile phone backend control processing platform.
- the face imaging module and the iris imaging module are mainly composed of an imaging module and a processing chip.
- the imaging module includes an optical lens and a CMOS sensor, and the back-end control processing platform simultaneously connects two cameras for processing two image data.
- the optical system of the face imaging module consists of two to three glass or plastic lenses with a spherical or aspherical lens. Due to the larger size of the sensor, the larger the photosensitive area, the better the imaging effect.
- the CMOS sensor size is less than or equal to 1/4, the horizontal direction is at least 640 pixels, and the vertical direction is at least 480. Pixels, the entire face imaging module size can reach 5mm * 5mm * 4mm (length * width * height).
- the optical system of the iris imaging module consists of 3-5 glass or plastic lenses. The lens adopts spherical or aspherical surface. Due to the larger size of the sensor, the larger the photosensitive area, the better the imaging effect, in order to achieve higher imaging.
- the CMOS sensor size is less than or equal to 1/4, horizontally at least 1900 pixels, vertical at least 800 pixels, meeting the requirements of binocular iris image acquisition, the entire iris imaging module size can reach 5.5mm* 5.5mm*4mm (length * width * height).
- the face imaging module and the iris imaging module have the same range of shooting depth of field, and can simultaneously capture clear face and iris images at 30-50 cm.
- the arrangement of the iris imaging module 33 and the face imaging module 32 is set according to the position and angle in the above embodiment of the present invention, that is, the iris imaging module is above the face imaging module, and passes through the ranging unit 34. Detect whether there is a face in front of the screen of the mobile phone.
- the iris imaging module and the face imaging module use the iris imaging module and the face imaging module to collect the face image and the iris image, and display the face image on the screen, as shown in FIG. 7 .
- the above-mentioned device is used to collect the face image and the iris image, thereby avoiding complicated mechanical mechanism and back-end control, making the whole device more compact and more convenient to use.
- the embodiment of the invention also provides an image acquisition method.
- 8 is a flow chart of an image acquisition method in accordance with an embodiment of the present invention. As shown, the image acquisition method includes:
- Step S102 collecting a face image of the target object by using the face imaging module.
- Step S104 detecting whether the collected face image is within a predetermined range.
- step S106 if the face image is within the predetermined range, the iris imaging module is controlled to collect the iris image of the target object, wherein the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position.
- the face imaging module collects the face image of the target object
- the iris imaging module collects the iris image of the target object
- the face imaging module and the iris imaging module are fixedly arranged according to the predetermined position, that is, the positions of the two imaging units are fixed. It is not necessary to adjust the position and angle of both when collecting the face image and the iris image.
- the control processing unit controls the iris imaging module to collect the iris image. When the control unit controls the iris imaging module to collect the iris image, it is not necessary to adjust the position or angle of the iris imaging module, and only the controller needs to collect the iris image.
- the iris imaging module is controlled to collect the iris image. Since the iris imaging module and the face imaging module are fixedly arranged according to a predetermined position, the iris is not imaged during the control process.
- the iris image can be acquired by adjusting the position and angle of the module.
- the method further includes: outputting prompt information if the face image is not within the predetermined range, wherein the prompt information is used to prompt the target object to adjust the face position.
- outputting the prompt information includes determining whether the size of the face image is larger than the size of the prompt frame. If the size of the face image is larger than the size of the prompt frame, the prompt information for increasing the distance between the face and the face imaging module is output. And if the size of the face image is smaller than the size of the prompt frame, the prompt information for reducing the distance between the face and the face imaging module is output.
- the face image and the face positioning prompt box can be seen on the screen. If the size of the face is larger than the size of the face prompt frame, it indicates that the distance of the face from the collection device is too close, and the target object needs to be prompted to increase the face and the person. Face imaging module distance, if the size of the face is smaller than the size of the face prompt box, indicating that the distance of the face from the collection device is too far, the target object needs to be prompted to reduce the distance between the face and the face imaging module. It should be noted that the face positioning prompt box has at least one approximate range, and the face image must not be completely coincident with the edge of the face positioning prompt frame, as long as the face in the depth of field of the lens can be collected clearly. Image.
- step S701 the ranging unit detects in real time, and detects that there is an object in front of the device.
- the ranging unit performs detection of whether there is an object in front of the collecting device, so as to facilitate detecting the face in time and performing image capturing. After detecting the object, step S703 is performed.
- Step S703 the face imaging module is activated to capture a face image, and the face detection is performed.
- the face imaging module is activated to collect a face image.
- Step S705 determining whether it is a human face, that is, detecting whether the captured image is a face image. This step can prevent the captured image from being an image of another object that is not a human face. When it is detected that the captured image is a human face, step S707 is performed, otherwise step S717 is performed to continue the detection.
- Step S707 displaying a face positioning prompt box, and all the target object faces enter the prompt box.
- the face positioning prompt box and the collected face image are displayed on the display unit (such as a screen), and it is determined whether the face is all in the prompt box.
- the display unit such as a screen
- the acquired iris image can ensure that the image quality satisfies the needs of biometric recognition.
- all the faces enter the prompt box. It is determined that the position of the face and the distance of the lens satisfy the range of the depth of field, and a clear image can be collected. Therefore, the face positioning prompt box is displayed to remind the target object to adjust the position in time to collect a clear face image and an iris image.
- Step S709 the iris imaging module and the illumination unit are activated to take an iris image for human eye detection. Since the iris image acquisition requirements are relatively fine, the accuracy of the iris image is higher when the iris image is used for biometric recognition, and the illumination unit can be used for light compensation when collecting the iris image.
- step S711 it is determined whether a human eye is detected. After the image of the human eye is collected, if the front of the face deviates from the iris imaging module, the acquired iris image may be inaccurate, and it is necessary to determine whether the human eye is detected. If the human eye is detected, step S713 is performed, otherwise step S715 is performed.
- Step S713 collecting a face and an iris image.
- the collected face image and the iris image can meet the requirements of biometric identification, and the collected image can be used to continue the recognition and other operations, such as unlocking the mobile phone and unlocking the access control.
- step S715 the target object is prompted to adjust the posture. Since the position of the face imaging module and the iris imaging module is fixed, when the distance between the face and the collecting device is too close or too far, the target object is prompted to adjust the posture.
- the adjustment may be performed by referring to the face positioning prompt frame and the face image, and may also be adjusted according to the output voice, text or color prompt information, and then executing step S707 until all the faces are entered into the face positioning prompt box. .
- modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in a storage device by a computing device, or they may be fabricated into individual integrated circuit modules, or Multiple modules or steps are made into a single integrated circuit module. Thus, the invention is not limited to any specific combination of hardware and software.
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Abstract
La présente invention concerne un dispositif et un procédé d'acquisition d'image. Le dispositif d'acquisition d'image comprend : un module d'imagerie faciale, utilisé afin d'acquérir une image faciale d'un objet cible ; un module d'imagerie d'iris, utilisé afin d'acquérir une image d'iris de l'objet cible, le module d'imagerie d'iris et le module d'imagerie faciale étant placés de manière fixe à des positions prédéterminées ; et une unité de traitement de commande, utilisée afin de détecter si l'image faciale est comprise dans une plage prédéterminée et de commander le module d'imagerie d'iris afin d'acquérir l'image d'iris lorsque l'image faciale est comprise dans la plage prédéterminée. La présente invention résout le problème de complexité des opérations d'acquisition d'image faciale et d'image d'iris de l'état antérieur de la technique, permettant ainsi d'acquérir de manière pratique des images faciales et des images d'iris.
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CN201410209168 | 2014-05-16 | ||
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CN201410514804.3 | 2014-09-29 | ||
CN201410514804.3A CN105095893A (zh) | 2014-05-16 | 2014-09-29 | 图像采集装置和方法 |
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CN110490096A (zh) * | 2019-07-31 | 2019-11-22 | 苏州思源科安信息技术有限公司 | 一种远距离无感人脸虹膜一体机 |
CN112764523B (zh) * | 2019-10-21 | 2022-11-18 | 北京眼神科技有限公司 | 一种基于虹膜识别的人机交互方法、装置及电子设备 |
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CN115567664B (zh) * | 2022-10-13 | 2023-06-23 | 长沙观谱红外科技有限公司 | 红外成像机器人 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1618079A (zh) * | 2002-01-16 | 2005-05-18 | 虹膜技术公司 | 利用立体人脸识别的虹膜识别系统和方法 |
CN1932840A (zh) * | 2005-09-16 | 2007-03-21 | 中国科学技术大学 | 基于虹膜和人脸的多模态生物特征身份识别系统 |
CN101261677A (zh) * | 2007-10-18 | 2008-09-10 | 周春光 | 人脸和虹膜混合识别的新方法——特征提取层融合 |
CN101520838A (zh) * | 2008-02-27 | 2009-09-02 | 中国科学院自动化研究所 | 自动跟踪和自动变焦的虹膜图像获取方法 |
CN102831392A (zh) * | 2012-07-09 | 2012-12-19 | 哈尔滨工业大学 | 一种远距离虹膜跟踪与采集装置及其方法 |
CN103279751A (zh) * | 2013-06-19 | 2013-09-04 | 电子科技大学 | 一种基于精确定位虹膜的眼动跟踪方法 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005292542A (ja) * | 2004-04-01 | 2005-10-20 | Matsushita Electric Ind Co Ltd | 目画像撮像装置および携帯端末装置 |
CN1936920A (zh) * | 2005-09-23 | 2007-03-28 | 乐金电子(昆山)电脑有限公司 | 移动虹膜识别系统及其方法 |
TWI266703B (en) * | 2005-10-19 | 2006-11-21 | Lite On Technology Corp | Thermal print head and control method thereof |
CN101388070B (zh) * | 2007-09-14 | 2011-11-30 | 鸿富锦精密工业(深圳)有限公司 | 选择最佳时机捕获影像的系统及方法 |
CN102799878B (zh) * | 2012-07-09 | 2015-10-21 | 中国科学技术大学 | 虹膜人脸融合采集装置 |
CN103152517B (zh) * | 2013-02-06 | 2018-06-22 | 北京中科虹霸科技有限公司 | 用于移动虹膜识别设备的成像模组及移动设备 |
CN103729925A (zh) * | 2014-01-15 | 2014-04-16 | 黄晓刚 | 一种智能化自动门管理系统 |
-
2014
- 2014-09-29 CN CN201410514804.3A patent/CN105095893A/zh active Pending
- 2014-10-20 WO PCT/CN2014/088977 patent/WO2015172514A1/fr active Application Filing
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1618079A (zh) * | 2002-01-16 | 2005-05-18 | 虹膜技术公司 | 利用立体人脸识别的虹膜识别系统和方法 |
CN1932840A (zh) * | 2005-09-16 | 2007-03-21 | 中国科学技术大学 | 基于虹膜和人脸的多模态生物特征身份识别系统 |
CN101261677A (zh) * | 2007-10-18 | 2008-09-10 | 周春光 | 人脸和虹膜混合识别的新方法——特征提取层融合 |
CN101520838A (zh) * | 2008-02-27 | 2009-09-02 | 中国科学院自动化研究所 | 自动跟踪和自动变焦的虹膜图像获取方法 |
CN102831392A (zh) * | 2012-07-09 | 2012-12-19 | 哈尔滨工业大学 | 一种远距离虹膜跟踪与采集装置及其方法 |
CN103279751A (zh) * | 2013-06-19 | 2013-09-04 | 电子科技大学 | 一种基于精确定位虹膜的眼动跟踪方法 |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107633243A (zh) * | 2017-11-10 | 2018-01-26 | 北京上古视觉科技有限公司 | 一种虹膜成像装置以及信息采集系统 |
CN110008786A (zh) * | 2018-01-04 | 2019-07-12 | 浙江湖州先牛信息科技有限公司 | 一种多镜头虹膜识别系统 |
CN110647828A (zh) * | 2019-09-10 | 2020-01-03 | 苏州思源科安信息技术有限公司 | 一种基于自动对焦技术的虹膜识别模块 |
CN110647828B (zh) * | 2019-09-10 | 2023-10-31 | 苏州思源科安信息技术有限公司 | 一种基于自动对焦技术的虹膜识别模块 |
CN112434595A (zh) * | 2020-11-20 | 2021-03-02 | 小米科技(武汉)有限公司 | 行为识别方法及装置、电子设备、存储介质 |
US11790692B2 (en) | 2020-11-20 | 2023-10-17 | Xiaomi Technology (Wuhan) Co., Ltd. | Method for behaviour recognition, electronic equipment, and storage medium |
US11816924B2 (en) | 2020-11-20 | 2023-11-14 | Xiaomi Technology (Wuhan) Co., Ltd. | Method for behaviour recognition based on line-of-sight estimation, electronic equipment, and storage medium |
CN113219870A (zh) * | 2021-05-07 | 2021-08-06 | 禹焱科技河北有限公司 | 一种用于工业仪表数据智能采集共享器 |
CN113219870B (zh) * | 2021-05-07 | 2022-03-08 | 禹焱科技河北有限公司 | 一种用于工业仪表数据智能采集共享器 |
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