CN101520838A - Automatic-tracking and automatic-zooming method for acquiring iris images - Google Patents
Automatic-tracking and automatic-zooming method for acquiring iris images Download PDFInfo
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- 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
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Abstract
The invention relates to an automatic-tracking and automatic-zooming method for acquiring iris images. The method includes the following steps: a camera with wide angle of view, a camera with narrow angle of view (long focus) and an infrared light source are closely installed on a controllable tripod head which drives the two cameras and the infrared light source to rotate simultaneously; a system adopts the camera with wide angle of view to continuously detect facial images of human; when the facial image is available, eye images of human are detected to obtain the exact locations of human eyes; and then the tripod head is controlled to rotate up and down or left and right, which allows that the camera with narrow angle of view and the infrared light source aim at the human eyes; user distance and picture quality are determined simultaneously to control the camera to automatically zoom; when clear iris images are acquired, image processing and iris recognition are carried out and the user identity is determined. A system device comprises a computer, the controllable tripod head, the camera with wide angle of view, the camera with narrow angle of view, the infrared light source, a power supply, an image grabbing card and other auxiliary equipments.
Description
Technical field
The present invention relates to the method for acquiring iris images of a kind of utilization from motion tracking and automatic focusing, is to combine technology such as computer vision, Flame Image Process, pattern-recognition and automatic control, is applied to the iris identification method in living things feature recognition field.
Background technology
In present biometrics identification technology, iris recognition technology is that accuracy is the highest, one of antifalsification best techniques, has market application foreground widely.Steps such as the step of iris recognition generally comprises that iris image obtains, live body detection, pre-service, feature extraction and characteristic matching.Wherein, to obtain be a very important link to iris image.Yet because the diameter of iris is very little, and the iris image of gathering requires that abundant pixel must be arranged, and also is a very difficult link so iris image obtains.
Iris image acquiring device the earliest is contact and fixing, need that promptly eyes are pressed close to camera lens tightly and come images acquired, the picture quality that obtains like this is fine, but can only be used for breadboard image acquisition, if be used for real life, can cause a lot of users' conflict psychology.
Iris image afterwards obtains the camera that has adopted long-focus, make the people need not press close to camera lens and just can carry out image acquisition, but, keep left to keep right after forward the leaning in position at people station and all can cause human eye misalignment camera because the visual angle and the depth of field of this camera are all smaller.Must the positive cooperation of user just can collect suitable image, use very inconvenient.
In order to address this problem, people have done a lot of improvement, a kind of is to utilize range sensor to record people's distance, utilize sound or pilot lamp prompter to advance then or retreat, thereby a kind of method is to utilize mirror or display to allow the people see that the image of oneself adjusts the position automatically.But still there are a lot of problems in these equipment: the first, and in some cases, the user is unwilling to cooperate with on one's own initiative equipment, and perhaps the user is inconvenient near instrument.The second, even the user is ready to cooperate with on one's own initiative, no matter be to utilize auditory tone cues or people oneself to aim at mirror, all must very important person's deallocation close instrument and move, caused very big inconvenience; Even take long to all misalignment camera lens or grasp bad distance of some people.
So, we have proposed the active iris capturing method from " people cooperates machine " to " machine cooperates the people ", promptly allow instrument go to initiatively to seek the position of people's eyes, no matter which position the people stands in, we utilize the rotation of The Cloud Terrace to remove to aim at eyes, and autozoom catches the image of people's eyes, have so just enlarged scope, increase the depth of field, made things convenient for the user.
Mode identification technology makes that detecting people's face in image becomes possibility, and the existing long-focus in market (greater than 75mm) camera lens makes on a large scale (0.3m-1m rice) shooting iris (the iris diameter is greater than 150 pixels) become possibility, controlled The Cloud Terrace makes to follow the tracks of fast becomes possibility, and these all provide condition for active iris capturing method.
Summary of the invention
The objective of the invention is to disclose a kind of method for acquiring iris images,, carry out iris recognition to realize initiatively seeking user's eyes from motion tracking and autozoom.
For achieving the above object, technical solution of the present invention is:
A kind ofly it is characterized in that, comprise the steps: based on method for acquiring iris images from motion tracking and autozoom
1) a wide visual angle camera, narrow visual angle camera and an infrared light supply are installed on the controlled The Cloud Terrace;
2) utilize wide visual angle camera continuously shot images, detect whether facial image is arranged, when detecting facial image, carry out human eye detection, obtain the accurate position of eyes in first zone of people's face;
3) according to the position of eyes in the camera image of wide visual angle, rotary head makes the eye image that the people is arranged in the video camera of narrow visual angle simultaneously up to narrow visual angle camera and infrared light supply aligning people's eyes;
4) judge user distance and picture quality, control camera autozoom of narrow visual angle and focusing automatically;
5) in the video camera of narrow visual angle people's eye image is arranged and to defocused, narrow visual angle camera is taken iris image continuously;
6) judge whether to collect iris image clearly,, judge user identity if distinct image is arranged then carry out Flame Image Process and iris recognition.
Described method, it is the described the 1st years old) in the step, a wide visual angle camera, narrow visual angle camera and an infrared light supply are snugly fitted on the controlled The Cloud Terrace the parallel installation of two camera angles, but conllinear not with light source; The Cloud Terrace drives the three and rotates jointly.
Described method, it is the described the 2nd years old) in the step, utilize wide visual angle camera to detect people's face, its step comprises:
When a) moving, utilize wide visual angle camera continuously shot images in system;
B) in the sorter detected image of utilizing existing method to train whether facial image is arranged, when facial image is arranged, obtain the coordinate and the size of people's face.
Described method, it is the described the 2nd years old) in the step, in facial image, carry out human eye detection, its step comprises:
A) according to detected people's face position, the general location of assessor's eyes,
B) the human eye sorter that utilizes existing method to train detects the eyes whether people is arranged in this zone, when human eye is arranged, obtains the coordinate and the size of human eye.
Described method, it is the described the 3rd years old) in the step, coming rotary platform in the picture position of wide visual angle camera according to eyes, its concrete grammar is as follows:
A) calculate the calibration position whether eyes appear at wide visual angle camera: if in calibration position, illustrate that then narrow visual angle camera aimed at eyes, if do not exist, illustrating needs rotary head;
B) when eye position departs from calibration position, rotary platform makes it to get back to calibration position: when eye position is taken back or take over, calculate rotational time, then then rotary head to the right or between anticlockwise this moment; When eye position on the upper side or on the lower side the time, calculate rotational time, then rotary head rotates this time downward or upward then; Rotation appears at calibration point up to eyes.
Described method, its described calibration position is to come linear calculating according to user's approximate distance, concrete grammar is as follows:
A) calibration position is linear apart from the distance D of camera about Δ h place, the below of wide camera central point and people greatly, simultaneously and the substantial distance H of detected people's face linear, i.e. Δ h=aH+b, wherein a, b are parameter to be calculated;
B) in preliminary work, the different distance at the user distance camera draws some different calibration position Δ h1 respectively, Δ h2 ... Δ hn and corresponding different people are bold and are caused length value H1, H2 ... Hn, order,
, Δ h=[Δ h
1, Δ h
2..., Δ h
n]
T, do linear regression then and calculate, promptly draw
When c) moving in system, the people who obtains by each detection people face is bold and causes length H, calculates calibration position, contrasts the coordinate of this position then and detects the coordinate of human eye, judges whether eyes appear at calibration position.
Described method, the calculating of its described rotational time is to judge that by experience concrete grammar is as follows:
A) in preliminary work, set different rotational times respectively, allow The Cloud Terrace rotate respectively to level and vertical direction, rotated the variation distance of eye position at every turn;
B) these empirical datas are tabulating, record in the computer program;
C) in service in system, inquiry should level and the distance of vertical rotation, this form of program inquiring, and both having drawn need be to the time of level with vertical rotation.
Described method, it is the described the 4th years old) in the step, control camera autozoom of narrow visual angle and focusing automatically, its concrete mode comprises:
1) according to the big or small rough estimate user's of people's face distance;
2) zoom to the focal length that sets in advance according to the distance adjustment of roughly estimating, distance then changes to long-focus, and distance closely then changes to short focal length;
3) high fdrequency component of judgement iris image, the controls lens focusing becomes far away or becomes closely then, and is big if the zoom high fdrequency component becomes, and then continue former mode and focus, otherwise, if the zoom high fdrequency component diminishes, to focusing in the other direction;
4) till collecting clearly iris image, wherein the judgement of clear picture is to determine by the high fdrequency component empirical value that obtains in the system test.
Described method, it is the described the 6th years old) need to carry out iris recognition after collecting clear iris image in the step, iris identification method comprises that step is as follows:
A) carry out image pre-service and normalization;
B) carrying out Iris Location and iris feature extracts;
C) iris feature of gathering is compared with the iris feature in the database, whether see with database in iris image identical;
D) if identical, then read this people's name automatically, preserve the successful image of identification with the iris image in the database.
Described method, it is when the 5th) operation carrying out auditory tone cues, light prompt or open or do not open the door after the step, iris recognition was finished according to comparison result.
The system that a kind of described method is used, it comprises controlled The Cloud Terrace, wide visual angle camera, narrow visual angle camera, infrared light supply, computing machine, power supply, audio amplifier; An one wide visual angle camera and a narrow visual angle camera and infrared light supply order are stacked, are installed on the vertical rotating shaft of controlled The Cloud Terrace;
Wherein, the type selecting of each equipment be connected:
A) wide visual angle camera is selected common meeting camera for use, is connected with computing machine by USB interface;
B) narrow visual angle camera is selected the integrated camera of repacking for use, and its video data is connected with computing machine by data collecting card, and integrated camera is with by total line traffic control focusing of RS-232 and zoom;
C) controlled The Cloud Terrace is selected the fast digital The Cloud Terrace of 100 degree/seconds for use, is connected with computing machine by the RS-485 interface, by standardized Pelco-D agreement control;
D) infrared light supply is selected LED lamp array for use, is that 15 infrared LEDs of spending constitute by a plurality of emission angles.
Described system, copied software in its described hard disc of computer:
A) software is opened two threads, handles the view data of wide visual angle camera and narrow visual angle camera respectively, and carries out Flame Image Process, motion control and database retrieval functions on the backstage;
B) main window of software has two pictures, shows facial image and iris image respectively; After the User Recognition success, display user's information, and send the sound of address name; Registration, recognition button at user management are arranged on the main window.
The present invention has used computer vision technique, mode identification technology and movement control technology and has assisted iris image acquiring, iris recognition can be carried out within a large range, and do not need the people to cooperate with on one's own initiative and aim at camera lens, thereby improved efficient greatly, expanded the range of application of iris recognition.
Description of drawings
Fig. 1 is the basic step schematic block diagram of the inventive method;
Fig. 2 is the employed system hardware equipment of a inventive method synoptic diagram;
Fig. 3 is the calibration synoptic diagram of two cameras;
Fig. 4 turns to the example schematic of ideal position for the control The Cloud Terrace;
Fig. 5 is the employed system software schematic flow sheet of the inventive method.
Embodiment
A kind of method for acquiring iris images from motion tracking and autozoom of the present invention comprises the steps: a wide visual angle camera and narrow visual angle camera and infrared light supply are installed on the controlled The Cloud Terrace jointly; System when detecting facial image, carries out human eye detection at the roughly position of people's face by a wide visual angle camera continuous detecting facial image, obtains the accurate position of eyes; The control The Cloud Terrace rotates narrow visual angle camera and infrared light supply, aims at people's eyes; Judge customer location and picture quality simultaneously, and carry out zoom and focusing; When collecting clearly iris image, carry out Flame Image Process and iris recognition, judge user identity.Thereby realize initiatively seeking user's eyes, carry out iris recognition.
What the inventive method was used is to utilize the iris image gathering system of The Cloud Terrace from motion tracking, and this system is made of following equipment: computing machine, controlled The Cloud Terrace, wide visual angle camera, narrow visual angle video camera, utility appliance such as infrared light supply and power supply, image pick-up card.
(1) basic step such as Fig. 1 of system's operation:
S1: a wide visual angle camera and narrow visual angle camera and infrared light supply are installed on the controlled The Cloud Terrace jointly;
S2: system utilizes wide visual angle camera continuously shot images, and whether detect has facial image; When detecting facial image, carry out human eye detection at the roughly position of people's face, obtain the accurate position of eye;
S3: according to the position of eyes in the camera image of wide visual angle, rotary head makes narrow visual angle video camera and infrared light supply all aim at people's eyes;
S4: judge user's distance, control autozoom according to the size of people's face; According to the high fdrequency component size estimation picture quality of image, control is focusing automatically;
S5: judge whether to collect iris image clearly,, judge user identity if distinct image is arranged then carry out Flame Image Process and iris recognition.
(2) composition of system hardware equipment be connected as Fig. 2, wherein, controlled The Cloud Terrace 1, wide visual angle camera 2, narrow visual angle camera 3, infrared light supply 4, computing machine 5, actuating unit 6; The image that equipment captures is as follows: the user 7; The image 8 that wide visual angle camera is taken; Utilize the detected human face region 9 of people's face detection algorithm; The eye image 10 that narrow visual angle camera is taken.
The type selecting of equipment is as follows: controlled The Cloud Terrace is the The Cloud Terrace of horizontal vertical rotational speed greater than 100 degree/seconds; Wide visual angle camera is a common USB meeting camera; Narrow visual angle camera is chosen the integrated camera after the repacking, and maximum focal length is greater than 75mm, can focus automatically, autozoom; Infrared light supply is an infrared LED array, wavelength 850nm, emission angle 15 degree.
The connected mode of equipment is as follows: controlled The Cloud Terrace is connected with computing machine by the RS-485 bus; Wide visual angle camera is to be connected with computing machine by USB; Integrated camera is connected with computing machine by the digital image acquisition card; Two cameras tightly come to together, install jointly basically; Controlled The Cloud Terrace, camera and infrared light supply all have the power supply power supply.
(3) the operating concrete grammar of system
1, the method for detection of people's face and human eye detection
The classification that people's face detects has several different methods, and we adopt the haar-like feature, and train with the algorithm of boosting, and can satisfy time requirement in a few tens of milliseconds the averaging time that people's face of the image of a 320*240 detects.Human eye detection is similar substantially with the method that people's face detects, but human eye detection is to search in the first half of facial image, so seek scope is very little, detection time also relatively seldom.
The calibrating method of 2, two cameras such as Fig. 3:
Can see, because two cameras are installed together, so the image of the image of narrow visual angle camera and wide visual angle camera has corresponding relation: when impact point (eyes) image appears at the wide position (12) of looking camera image central point (11) vertical off setting △ h, will appear in the image-region (10) of narrow visual angle camera.
In system when operation,, promptly according to as above principle, after having found glasses at wide visual angle camera, rotary platform makes the position of eyes appear at camera calibration position, wide visual angle (12), and eyes are appeared in the image (10) of narrow visual angle camera.
Wherein, △ h can change along with the distance D of people and camera, and people △ h far away more can be more little, and the near more △ h of people can be big more.
Suppose that calibration position Δ h and people are linear apart from the position D of camera, and D is linear with detected people's face height H.So also assume linear relationship between Δ h and the H, i.e. Δ h=aH+b.We in experiment respectively the people apart from camera diverse location D1, D2 ... during Dn, draw different calibration position Δ h1, Δ h2 ... Δ hn.Do linear regression by many groups experiment value then,
Wherein,
Δh＝[Δh
1，Δh
2，...，Δh
n]
T。Can obtain a, the experience of b is straight.
3, the control The Cloud Terrace rotates method such as Fig. 4 of camera:
In the image of wide visual angle camera, detect and eye detection by people's face, draw the physical location of eyes and the deviation of calibration position, come rotary head according to this deviation then.Fig. 4 is an example of rotation, a process has been described, big image is the image of wide visual angle camera, the little image in the upper left corner is the image of narrow visual angle camera, wherein (12) are calibration position, (11) be central point,, also appear at simultaneously in the camera zone, narrow visual angle (10) when the position of eyes moves to the calibration point of wide visual angle camera.
In order to make the The Cloud Terrace rotation faster, we have adopted the method for searching the experience table: eye position deviation calibration point is big more, and it is big more that rotational speed and rotational time need be set; Deviation is more little, needs the rotational time of setting more little.Relation between deviate and the rotational time is not a linear relationship, but can come to determine the look-up table of an experience by experiment.For example, deviate is 5 pixels, is determined by experiment, and the setting rotational time is 300ms; Deviate is 10 pixels, is determined by experiment, and the setting rotational time is 400ms.
For example, people's eyes are positioned at wide visual angle camera calibration point 5 pixels left, then control The Cloud Terrace to right rotation 300ms; People's eyes are positioned at upwards 10 pixels of calibration point, then control The Cloud Terrace and are rotated down 400ms.If once do not rotate to the precalculated position, then rotation once more in next one circulation arrives calibration point up to the position of eyes.
4, the method for control zoom and focusing:
The shelves of several zooms are set, when the user when remote, be transferred to long focal length, as user during, be transferred to short focal length closely, as user during in the centre position, the focal length in the middle of being transferred to.No matter can guarantee like this that no matter a long way off or nearby the user, can make the image of its iris enough big.
Wherein user's distance can be estimated according to the size of people's face in the image of wide visual angle.Because the size and the user distance of detected people's face frame are inversely proportional, can roughly estimate user distance.
Zoom is in order to guarantee that the size of iris in image can satisfy the requirement of pattern-recognition.Except zoom, must focus automatically simultaneously, to guarantee to obtain iris image clearly.
Judge the high fdrequency component of image, the controls lens zoom is far away or become near then.If it is big that the zoom high fdrequency component becomes, then continue zoom, if high fdrequency component diminishes, then control zoom, in the time of the high fdrequency component maximum of image to opposite direction.
Camera (comprising camera lens) is connected with computing machine by the RS-232 bus, can be by Pelco-D agreement control zoom and focusing, and simultaneously, camera itself also has the function of utilizing video component to drive automatic focusing.
(4) software of system
Software has good interactive interface: two zones are arranged in the main window, and a zone shows the image of wide visual angle camera, and a zone shows the image of narrow visual angle camera; After the eyes that trace into the people, the former shows the image of people's face, and the latter shows the image of human eye under the infrared light (iris); After discerning successfully, software can show the name that identifies the identification user; Window has function keys such as " registration ", " identification ", convenient management
Fig. 5 is the system software schematic flow sheet.In the program of computing machine, open two threads after the initialization, a thread is with wide visual angle camera continuously shot images, seeks people's face, the rotation of control The Cloud Terrace; Another thread is with narrow visual angle camera continuously shot images, carries out iris recognition.
P0: system initialization.There are many work to do during system initialization, comprise: load the people's face sorter, the human eye sorter that have trained; Open the iris characteristic data storehouse; Open the cradle head control interface; Open infrared light supply etc.After system initialization finishes, open two threads.
P1-1: wide visual angle camera is taken a hardwood image, and shows in window.
P1-2: in image, utilize the sorter that has trained to detect the image whether people's face is arranged.
P1-3:,, then obtain the parameter information of the position of people's face in image and size if having if nobody's face then continues to detect
P1-4: human eye detection is carried out in the first half zone at people's face, and human eye detection still relies on the sorter that has trained, obtains the accurate coordinate value of two eye center positions.
P1-5: according to the coordinate of human eye and the deviation of center, the control The Cloud Terrace rotates to calibration position.(when departing from people's face left side, then aim at left eye; When departing from people's face the right, then aim at right eye.If deviation in allowed band, is then stopped the rotation.
P1-6: according to the big or small guestimate user's of people's face distance, then according to this apart from the focal length that changes camera.And open the automatic focus function of camera simultaneously.Return P1-1 after finishing, continue the track human faces image.
P2-1: narrow visual angle camera is taken a hardwood image, and shows in window.
Whether P2-2: detecting has iris image clearly.If no, illustrate that the The Cloud Terrace rotation does not also finish, and continues images acquired.
P2-3: if collect image.Iris recognition, Algorithm of Iris Recognition adopts the iris recognition SDK software package irismatching.dll of Institute of Automation, Chinese Academy of sociences, carries out pre-service, Iris Location, feature extraction, the aspect ratio equity step of iris image.
P2-4: if iris recognition success, auditory tone cues success is simultaneously carried out the switch passage, is opened action such as pilot lamp; If unsuccessful then continue identification, continuous three times unsuccessful, then carry out alarm.
The present invention designs a kind of method for acquiring iris images from motion tracking and autozoom of knowing clearly.Through experiment, generally speaking, for 0.4 meter to 1 meter of distance, in the level 30 degree angles, height on average can be finished image acquisition and identification 1.55 to 1.90 meters users in 5 seconds.
The advantage of this method is the following aspects:
1. this method can carried out image acquisition more at a distance, and adaptability is wider.
2. this method can initiatively be followed the tracks of people's eyes, has enlarged the scope of images acquired.
3. this method can autozoom and focusing, has enlarged the depth of field of images acquired.
4. this method can adapt to various dissimilar crowds, and anyone in seconds finishes identification automatically, can not occur aiming at the problem that maybe can't focus and be brought, greatly facilitates the user.
In sum, the present invention is a very big improvement for present iris authentication system, can carry out image acquisition in farther distance, and people's eyes and autozoom just can be initiatively followed the tracks of in the cooperation that does not need the people, thereby improved the range of application of iris authentication system widely, convenient for users to use, have very big market potential.
Embodiment 1: be applied to robotization and intelligentized iris authentication system
The present invention can be used for robotization and intelligentized iris authentication system.Use is as follows: at certain guild hall's inlet, need carry out the iris recognition identity verification to visiting personnel, but because the guest is more honorable, is inconvenient to allow machine commander guest go to move up and down and finishes identification, so guild hall's inlet has adopted the iris image recognition device of robotization.After the guest enters guild hall, stayed for 3 times in second in the face of intelligent iris authentication system, equipment is the narrow visual angle of rotation camera automatically, has captured iris image, identifies guest's identity, and sends the sound of this " so-and-so Mr., welcome ".The guest feels that guild hall's safety practice is fine, and easy to use, intelligent high, and the result is very satisfied.
Embodiment 2: the iris authentication system that is applied to large-scale consumer
The present invention can improve the practicality of iris authentication system, especially for large-scale consumer and special population.Example is as follows:
Certain port of being open to the custom need utilize the iris authentication system identity verification, and passing people need line up and verify, three people are wherein arranged: Zhang San, and height 190, Li Si, height 150, the king five, never use this instrument.Three people had once registered the iris image of oneself, and they come the critical point and discern.The previously used iris recognition instrument in critical point is high by 150, need squat down body and face lifted just and can discern of Zhang San, and Li Si has weighed tiptoe in the hand and just can see camera lens, king five is owing to be unfamiliar with instrument, though aimed at eyes, can not get hold of distance with camera.Three people can not just finish identification with the eye alignment camera lens of oneself for a long time afterwards under staff's help as a result, to such an extent as to wait for it being that others lines up and blocks up in the back, had wasted the plenty of time.
After using iris authentication system of the present invention, Zhang San stands in instrument several approximately seconds, and camera has rotated up certain angle rapidly, aims at Zhang San's eyes, the iris recognition success; Li Si stands in instrument precontract several seconds, and camera has been rotated down certain angle rapidly, aims at Li Si's eyes, the iris recognition success; King five is unfamiliar with instrument, stands in instrument place far away, the time in several approximately seconds, camera rotational alignment king five eyes and focusing automatically, iris recognition success.The whole identification troop of back has all successfully finished identification, and on average everyone has only several seconds the time spent, has saved the plenty of time.
Embodiment 3: be used for hidden iris authentication system
The present invention can be used for the hidden iris recognition of carrying out under the unwitting situation of user.Implementation method is as follows: must the iris authentication system from motion tracking be installed through the area (for example elevator) in certain security centre.And before equipment, the one side mirror of infrared light, reflect visible light thoroughly is installed, and make the user in mirror, to see oneself, but can't see the equipment of the inside.Certain suspicion of crime molecule relies on false certificate to enter this security centre, enters elevator, looks in the mirror unintentionally in elevator and puts hair in order.The iris capturing instrument of mirror back has captured this person's iris image automatically, and identifies and be the suspicion of crime molecule, so send chimes of doom, the public security officer comes it is arrested.
Claims (12)
1. one kind based on the method for acquiring iris images from motion tracking and autozoom, it is characterized in that, comprises the steps:
1) a wide visual angle camera, narrow visual angle camera and an infrared light supply are installed on the controlled The Cloud Terrace;
2) utilize wide visual angle camera continuously shot images, detect whether facial image is arranged, when detecting facial image, carry out human eye detection, obtain the accurate position of eyes in first zone of people's face;
3) according to the position of eyes in the camera image of wide visual angle, rotary head makes the eye image that the people is arranged in the video camera of narrow visual angle simultaneously up to narrow visual angle camera and infrared light supply aligning people's eyes;
4) judge user distance and picture quality, control camera autozoom of narrow visual angle and focusing automatically;
5) in the video camera of narrow visual angle people's eye image is arranged and to defocused, narrow visual angle camera is taken iris image continuously;
6) judge whether to collect iris image clearly,, judge user identity if distinct image is arranged then carry out Flame Image Process and iris recognition.
2. method according to claim 1 is characterized in that, the described the 1st) in the step, a wide visual angle camera, narrow visual angle camera and an infrared light supply are snugly fitted on the controlled The Cloud Terrace the parallel installation of two camera angles, but conllinear not with light source; The Cloud Terrace drives the three and rotates jointly.
3. method according to claim 1 is characterized in that, the described the 2nd) in the step, utilize wide visual angle camera to detect people's face, its step comprises:
When 1) moving, utilize wide visual angle camera continuously shot images in system;
2) in the sorter detected image of utilizing existing method to train whether facial image is arranged, when facial image is arranged, obtain the coordinate and the size of people's face.
4. method according to claim 1 is characterized in that, the described the 2nd) in the step, carry out human eye detection in facial image, its step comprises:
1) according to detected people's face position, the general location of assessor's eyes,
2) the human eye sorter that utilizes existing method to train detects the eyes whether people is arranged in this zone, when human eye is arranged, obtains the coordinate and the size of human eye.
5. method according to claim 1 is characterized in that, the described the 3rd) in the step, come rotary platform according to eyes in the picture position of wide visual angle camera, its concrete grammar is as follows:
1) calculate the calibration position whether eyes appear at wide visual angle camera: if in calibration position, illustrate that then narrow visual angle camera aimed at eyes, if do not exist, illustrating needs rotary head;
2) when eye position departs from calibration position, rotary platform makes it to get back to calibration position: when eye position is taken back or take over, calculate rotational time, then then rotary head to the right or between anticlockwise this moment; When eye position on the upper side or on the lower side the time, calculate rotational time, then rotary head rotates this time downward or upward then; Rotation appears at calibration point up to eyes.
6. method according to claim 5 is characterized in that, described calibration position is to come linear calculating according to user's approximate distance, and concrete grammar is as follows:
A) calibration position is linear apart from the distance D of camera about Δ h place, the below of wide camera central point and people greatly, simultaneously and the substantial distance H of detected people's face linear, i.e. Δ h=aH+b, wherein a, b are parameter to be calculated;
B) in preliminary work, the different distance at the user distance camera draws some different calibration position Δ h1 respectively, Δ h2 ... Δ hn and corresponding different people are bold and are caused length value H1, H2 ... Hn, order,
Δ h=[Δ h
1, Δ h
2..., Δ h
n]
T, do linear regression then and calculate, promptly draw
When c) moving in system, the people who obtains by each detection people face is bold and causes length H, calculates calibration position, contrasts the coordinate of this position then and detects the coordinate of human eye, judges whether eyes appear at calibration position.
7. method according to claim 5 is characterized in that, the calculating of described rotational time is to judge that by experience concrete grammar is as follows:
A) in preliminary work, set different rotational times respectively, allow The Cloud Terrace rotate respectively to level and vertical direction, rotated the variation distance of eye position at every turn;
B) these empirical datas are tabulating, record in the computer program;
C) in service in system, inquiry should level and the distance of vertical rotation, this form of program inquiring, and both having drawn need be to the time of level with vertical rotation.
8. method according to claim 1 is characterized in that, the described the 4th) in the step, control camera autozoom of narrow visual angle and focusing automatically, its concrete mode comprises:
1) according to the big or small rough estimate user's of people's face distance;
2) zoom to the focal length that sets in advance according to the distance adjustment of roughly estimating, distance then changes to long-focus, and distance closely then changes to short focal length;
3) high fdrequency component of judgement iris image, the controls lens focusing becomes far away or becomes closely then, and is big if the zoom high fdrequency component becomes, and then continue former mode and focus, otherwise, if the zoom high fdrequency component diminishes, to focusing in the other direction;
4) till collecting clearly iris image, wherein the judgement of clear picture is to determine by the high fdrequency component empirical value that obtains in the system test.
9, method according to claim 1 is characterized in that, the described the 6th) need to carry out iris recognition after collecting clear iris image in the step, iris identification method comprises that step is as follows:
A) carry out image pre-service and normalization;
B) carrying out Iris Location and iris feature extracts;
C) iris feature of gathering is compared with the iris feature in the database, whether see with database in iris image identical;
D) if identical, then read this people's name automatically, preserve the successful image of identification with the iris image in the database.
10, method according to claim 1 is characterized in that, when the 5th) operation carrying out auditory tone cues, light prompt or open or do not open the door after finishing of step iris recognition according to comparison result.
11, a kind of system of method use according to claim 1 is characterized in that, comprises controlled The Cloud Terrace, wide visual angle camera, narrow visual angle camera, infrared light supply, computing machine, power supply, audio amplifier; An one wide visual angle camera and a narrow visual angle camera and infrared light supply order are stacked, are installed on the vertical rotating shaft of controlled The Cloud Terrace;
Wherein, the type selecting of each equipment be connected:
A) wide visual angle camera is selected common meeting camera for use, is connected with computing machine by USB interface;
B) narrow visual angle camera is selected the integrated camera of repacking for use, and its video data is connected with computing machine by data collecting card, and integrated camera is with by total line traffic control focusing of RS-232 and zoom;
C) controlled The Cloud Terrace is selected the fast digital The Cloud Terrace of 100 degree/seconds for use, is connected with computing machine by the RS-485 interface, by standardized Pelco-D agreement control;
D) infrared light supply is selected LED lamp array for use, is that 15 infrared LEDs of spending constitute by a plurality of emission angles.
12, system according to claim 11 is characterized in that, has copied software in the described hard disc of computer:
A) software is opened two threads, handles the view data of wide visual angle camera and narrow visual angle camera respectively, and carries out Flame Image Process, motion control and database retrieval functions on the backstage;
B) main window of software has two pictures, shows facial image and iris image respectively; After the User Recognition success, display user's information, and send the sound of address name; Registration, recognition button at user management are arranged on the main window.
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| CN200810100948A CN101520838A (en) | 2008-02-27 | 2008-02-27 | Automatic-tracking and automatic-zooming method for acquiring iris images |
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| CN200810100948A CN101520838A (en) | 2008-02-27 | 2008-02-27 | Automatic-tracking and automatic-zooming method for acquiring iris images |
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