CN104584030A - Verification application method and device based on face recognition - Google Patents
Verification application method and device based on face recognition Download PDFInfo
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- CN104584030A CN104584030A CN201480001802.2A CN201480001802A CN104584030A CN 104584030 A CN104584030 A CN 104584030A CN 201480001802 A CN201480001802 A CN 201480001802A CN 104584030 A CN104584030 A CN 104584030A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/2133—Verifying human interaction, e.g., Captcha
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Abstract
The invention is suitable for the field of smart terminals, and provides a verification application method based on face recognition. The method comprises the following steps of acquiring photos of an operator; extracting facial images of the operator from the photos; comparing the figure image with an image template; and determining whether a smart device is opened or not in dependence on the comparison result. The verification application method based on face recognition is advantaged by high accuracy and safety.
Description
Technical field
The invention belongs to intelligent terminal field, particularly relate to a kind of checking using method based on recognition of face and device.
Background technology
Mobile terminal, be commonly called as mobile phone, existing mobile phone have passed through the simulation epoch, digital Age and intelligence epoch, existing mobile phone major part is smart mobile phone, its function is also more powerful, comprising: the function that online, video calling, app application etc. are numerous, and mobile phone also becomes the instrument of people's a kind of indispensability in daily life gradually.
Mobile phone, due to smaller and more exquisite, often can be lost in actual life, for the personal effects that mobile phone is such, is that a lot of user is unacceptable by others' maloperation, so present market needs a kind of safe mobile phone verify using method.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of mobile phone based on recognition of face to verify using method, and it solves the low problem of the security of prior art.
The embodiment of the present invention is achieved in that a kind of checking using method based on recognition of face, described method comprises the steps: on the one hand
Obtain the photo of operator;
The face-image of operator is extracted from photo;
Character image and image template are compared, determines whether to open smart machine according to comparison result.
Optionally, described the implementation that character image and image template are compared to be specially:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
Optionally, described method, after opening smart machine, also comprises:
Then replace image template with this character image.
Optionally, described character image and image template to be compared, determine whether that opening smart machine specifically comprises according to comparison result:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
Optionally, described character image and image template to be compared, determine whether that opening smart machine specifically comprises according to comparison result:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
On the other hand, provide a kind of intelligent end device, described device comprises:
Acquiring unit, for obtaining the photo of operator;
Extraction unit, for extracting the face-image of operator from photo;
Image comparing unit, for character image and image template being compared, determines whether to open smart machine according to comparison result.
Optionally, described image comparing unit specifically for:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
Optionally, described device also comprises:
Replacement unit, for opening after unit opens smart machine described, replaces image template with this character image.
Optionally, described image comparing unit specifically for:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
Optionally, described image comparing unit specifically for:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
In embodiments of the present invention, the mobile phone of technical scheme provided by the invention adopts the mode of recognition of face to monitor checking mobile phone, so it is when cellphone subscriber changes, can the operation of the non-owner of automatic shield, thus its to have security a little high.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of checking using method based on recognition of face provided by the invention;
Fig. 2 is the structural drawing of a kind of intelligent end device provided by the invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
The specific embodiment of the invention provides a kind of checking using method based on recognition of face, and said method is performed by mobile phone or other smart machine (such as ipad, PDA etc.), and the method as shown in Figure 1, comprises the steps:
101, the photo of operator is obtained;
102, from photo, extract the face-image of operator;
103, character image and image template are compared, determine whether to open smart machine according to comparison result.
Above-mentioned comparison result can be: similar or dissimilar.Because for operator, its face-image can not be constant, so identical possibility is little, because face can change to some extent, so only need similarly just can to realize, specifically judges that similar method can see the following describes here.
Optionally, above-mentioned the implementation that character image and image template are compared to be specifically as follows:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
The identification of character image is mainly carried out in this design by speckle regions, because for portrait, general all spottiness, and the gray-scale value of spot is within the scope of one substantially, than being easier to distinguish gray-scale value, then by contrast spotted problem just can realize the differentiation of character image, because for everyone, its spot certainly can not be consistent, all its also can significantly be distinguished, in addition, here be also the thin caused impact on comparison result of filling out in order to avoid people using eyes central point as reference point, with eyes central point for reference point can avoid its impact produced, so said method has the high advantage of comparison accuracy.
Optionally, said method can also comprise after 103:
As opened smart machine, then replace image template with this character image.
Described character image and image template to be compared, determine whether that opening smart machine specifically comprises according to comparison result:
Optionally, the concrete methods of realizing of above-mentioned 103 can be:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
Optionally, the concrete methods of realizing of above-mentioned 103 can be:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
This kind of mode is equivalent to add learning functionality, and namely each comparison can ensure that it belongs to up-to-date image.
The specific embodiment of the invention also provides a kind of intelligent end device, and this device as shown in Figure 2, comprising:
Acquiring unit 21, for obtaining the photo of operator;
Extraction unit 22, for extracting the face-image of operator from photo;
Image comparing unit 25, for character image and image template being compared, determines whether to open smart machine according to comparison result.
Optionally, image comparing unit 25 specifically for:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
Optionally, said apparatus also comprises:
Replacement unit 26, for opening after unit opens smart machine described, replaces image template with this character image.
Image comparing unit 25 specifically for:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
Optionally, described image comparing unit 25 specifically for:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
It should be noted that in above-described embodiment, included unit is carry out dividing according to function logic, but is not limited to above-mentioned division, as long as can realize corresponding function; In addition, the concrete title of each functional unit, also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
In addition, one of ordinary skill in the art will appreciate that all or part of step realized in the various embodiments described above method is that the hardware that can carry out instruction relevant by program has come, corresponding program can be stored in a computer read/write memory medium, described storage medium, as ROM/RAM, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any amendments done within the spirit and principles in the present invention, equivalent replacement and improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. based on a checking using method for recognition of face, it is characterized in that, described method comprises the steps:
Obtain the photo of operator;
The face-image of operator is extracted from photo;
Character image and image template are compared, determines whether to open smart machine according to comparison result.
2. method according to claim 1, is characterized in that, describedly the implementation that character image and image template are compared is specially:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
3. method according to claim 1, is characterized in that, described method, after opening smart machine, also comprises:
Then replace image template with this character image.
4. method according to claim 1, is characterized in that, describedly character image and image template is compared, and determines whether that opening smart machine specifically comprises according to comparison result:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
5. method according to claim 1, is characterized in that, describedly character image and image template is compared, and determines whether that opening smart machine specifically comprises according to comparison result:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
6. an intelligent end device, is characterized in that, described device comprises:
Acquiring unit, for obtaining the photo of operator;
Extraction unit, for extracting the face-image of operator from photo;
Image comparing unit, for character image and image template being compared, determines whether to open smart machine according to comparison result.
7. device according to claim 6, is characterized in that, described image comparing unit specifically for:
Extract the gray-scale value of each pixel in character image, extract the pixel in spot intensity value ranges and coordinate thereof, pixel in spot intensity value ranges and spot, as the distance between adjacent spots is less than setpoint distance, then this adjacent spots is divided into a spot region, travels through all speckle regions and separate all spot region; All spot region are presented at the correspondence position of character image, extract all spot region in image template, with eyes central point for initial point, evenly release many rays through all spot region for 360 °, the intersection point according to many rays and all spot region edges obtains the distance of each spot region margin and center point; Obtain the distance of each spot region margin and center point in character image, the distance of spot region margin and center point each in image template is compared with the distance of each spot region margin and center point in character image one by one, do not exist in character image as there being a setting quantity spot region in image template, then determine that comparison is dissimilar, otherwise determine similar.
8. device according to claim 6, is characterized in that, described device also comprises:
Replacement unit, for opening after unit opens smart machine described, replaces image template with this character image.
9. device according to claim 6, is characterized in that, described image comparing unit specifically for:
Obtain the outline line of character image, using the mid point between the eyes of character image as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and outline line, the distance L of datum point and each intersecting point coordinate; Obtain the outline line of image template, using the mid point between the eyes of image template as initial point, go out 360 rays in 360 ° of uniform emissions, record the intersecting point coordinate of every bar ray and image template outline line, the distance E of datum point and each intersecting point coordinate;
∑ (L
n-E
n) <c formula 1;
When meeting formula 1, determining that character image and image template are similar to, opening smart machine;
Wherein, L
ndistance in character image between initial point and the n-th intersecting point coordinate; E
ndistance in image template between initial point and the n-th intersecting point coordinate, C is setting threshold value, is constant.
10. device according to claim 6, is characterized in that, described image comparing unit specifically for:
Obtain the mid point of the outline line of character image and the eyes of character image, obtain the outline line of image template and the mid point of eyes, the eyes mid point of image module is overlapped with the mid point of the eyes of character image, as the outline line of character image also overlaps with the outline line of image module, open smart machine.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2014/091213 WO2016074248A1 (en) | 2014-11-15 | 2014-11-15 | Verification application method and apparatus based on face recognition |
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| CN104584030A true CN104584030A (en) | 2015-04-29 |
| CN104584030B CN104584030B (en) | 2017-02-22 |
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| CN111932283A (en) * | 2020-09-22 | 2020-11-13 | 北京大鱼梦想科技有限公司 | Anti-counterfeiting detection method and device |
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| Publication number | Publication date |
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| WO2016074248A1 (en) | 2016-05-19 |
| CN104584030B (en) | 2017-02-22 |
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