CN105718922B - Adaptive adjusting method and device for iris recognition - Google Patents
Adaptive adjusting method and device for iris recognition Download PDFInfo
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- CN105718922B CN105718922B CN201610126072.XA CN201610126072A CN105718922B CN 105718922 B CN105718922 B CN 105718922B CN 201610126072 A CN201610126072 A CN 201610126072A CN 105718922 B CN105718922 B CN 105718922B
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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
- G06V40/19—Sensors therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/141—Control of illumination
Abstract
The invention discloses an iris recognition adaptability adjusting method and device, belonging to the field of iris recognition, wherein the method comprises the following steps: acquiring the overall illumination intensity and environment type of an environment; obtaining an adjusting parameter under the current environment type according to the corresponding relation between different pre-stored environment types and the adjusting parameter; calculating according to the total illumination intensity of the environment and the adjusting parameters to obtain the near-infrared illumination intensity; and adjusting the infrared light illuminating source according to the near-infrared illumination intensity. The invention can automatically adjust the infrared light illumination light source according to different environment types, has wide application range and high adjustment accuracy, and acquires high quality iris images.
Description
Technical Field
The invention relates to the field of iris recognition, in particular to an iris recognition adaptability adjusting method and device.
Background
With the advent of the internet information age, the security and stability requirements of people on information, especially personal information, have been increasing, and the application of identity authentication using unique physiological characteristics or behavioral characteristics inherent to people itself has become more and more widespread, wherein iris recognition technology is gaining favor as "most accurate" and "most difficult to counterfeit" biometric technology. However, iris recognition is a biological recognition technology based on the texture characteristics of the iris of an eye, and because the surface of the iris is a spherical surface, the area is small, and the color is dark, the requirement on the imaging quality of an optical system for acquiring the iris image is high.
The existing iris image acquisition is generally finished by supplementing light by using an infrared illumination light source and equipping a high-resolution acquisition module (comprising a camera and an image sensor); and requires a user to have a certain degree of compliance. And the iris image is collected under different environments, and external environment light can interfere imaging, so that the quality of the iris image cannot meet the requirements of collecting, comparing and the like.
Therefore, how to acquire high-quality iris images under different external environments becomes important research in the field.
Disclosure of Invention
The invention provides an iris identification adaptability adjusting method and device, the method can automatically adjust the infrared light illumination light source according to different environment types, the application range is wide, the adjusting accuracy is high, and the quality of the acquired iris image is high.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, an adaptive adjustment method for iris recognition is provided, including:
acquiring the overall illumination intensity and environment type of an environment;
obtaining an adjusting parameter under the current environment type according to the corresponding relation between different pre-stored environment types and the adjusting parameter;
calculating according to the total illumination intensity of the environment and the adjusting parameters to obtain the near-infrared illumination intensity;
and adjusting the infrared light illuminating source according to the near-infrared illumination intensity.
In another aspect, an adaptive adjustment device for iris recognition is provided, including:
the acquisition module is used for acquiring the total illumination intensity and the environment type of the environment;
the adjusting parameter acquiring module is used for acquiring adjusting parameters under the current environment type according to the corresponding relationship between different pre-stored environment types and the adjusting parameters;
the near-infrared illumination intensity acquisition module is used for calculating to obtain the near-infrared illumination intensity according to the total illumination intensity of the environment and the adjusting parameters;
and the infrared illumination light source adjusting module is used for adjusting the infrared illumination light source according to the near-infrared illumination intensity.
The invention has the following beneficial effects:
because the total illumination intensity is different under different environmental types and the proportion of near infrared light in the total illumination intensity is also different, if the same means is used for adjustment under different environmental types, high-quality iris images cannot be obtained. The invention can adaptively adjust the infrared illumination light source according to different environment types, and acquires and obtains high-quality iris images, and the specific process is as follows: the method comprises the steps of firstly obtaining the total illumination intensity and the environment type of the environment, then determining an adjusting parameter according to the environment type, then calculating to obtain the near-infrared illumination intensity in the total illumination intensity of the environment, and adjusting the infrared illumination light source according to the intensity of the near-infrared illumination intensity.
The invention flexibly adjusts the infrared light illuminating source according to different environment types, so that the adjustment is more comprehensive and the quality of the iris image is higher.
In conclusion, the invention can automatically adjust the infrared illumination light source according to different environment types, has wide application range and high adjustment accuracy, and can acquire high quality iris images.
Drawings
FIG. 1 is a flow chart of one embodiment of a method for adaptive adjustment of iris recognition in accordance with the present invention;
FIG. 2 is an iris image acquired with an over-bright infrared illumination source according to the present invention;
FIG. 3 is an iris image acquired with an infrared illumination source of the present invention being too dark;
FIG. 4 shows an iris image collected by an infrared illumination light source according to the present invention;
fig. 5 is a schematic diagram of an embodiment of the iris recognition adaptive adjusting apparatus according to the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
In one aspect, an embodiment of the present invention provides an adaptive adjustment method for iris recognition, as shown in fig. 1, including:
step 101: the overall illumination intensity and environment type of the environment are obtained. In this step, the total illumination intensity of the environment may be acquired by the ambient light sensor, and the environment type may be determined according to the total illumination intensity of the environment (the total illumination intensity of the environment is different under different environment types), or may be determined by external input.
Step 102: and obtaining the adjusting parameters under the current environment type according to the pre-stored corresponding relation between different environment types and the adjusting parameters. The pre-stored correspondence between different environment types and the adjustment parameters is preferably in a table form, and different environment types correspond to different adjustment parameters.
Step 103: and calculating to obtain the near-infrared illumination intensity according to the total illumination intensity of the environment and the adjusting parameters. The adjusting parameters can also reflect the relation between the total illumination intensity and the near-infrared illumination intensity of the environment, and the near-infrared illumination intensity can be calculated according to the total illumination intensity and the adjusting parameters of the environment and is used as a basis for adjusting the infrared illumination light source subsequently.
Step 104: and adjusting the infrared light illuminating source according to the near-infrared illumination intensity. After the near-infrared illumination intensity is obtained, the infrared illumination light source can be adjusted according to the obtained near-infrared illumination intensity, if the near-infrared illumination intensity is low, the brightness of the infrared illumination light source is increased, and otherwise, the brightness of the infrared illumination light source is reduced.
In the process of performing the above steps, the image sensor may also be adjusted. Specifically, the functions of the image sensor, such as exposure, gain, white balance, Black Level, and Gamma, may be adjusted.
After the steps are finished, the iris image can be acquired, or the iris image can be acquired in real time while the steps are carried out.
The embodiment and the subsequent embodiments of the invention are applied to an iris recognition device or an iris acquisition device, the device comprises a processor, a memory, an ambient light sensor, an infrared light illuminating source, an iris module and the like, and the iris module comprises an acquisition lens and an image sensor.
Because the total illumination intensity is different under different environmental types and the proportion of near infrared light in the total illumination intensity is also different, if the same means is used for adjustment under different environmental types, high-quality iris images cannot be obtained. The embodiment of the invention can adaptively adjust the infrared illumination light source according to different environment types, and acquire and obtain the high-quality iris image, and the specific process is as follows: the method comprises the steps of firstly obtaining the total illumination intensity and the environment type of the environment, then determining an adjusting parameter according to the environment type, then calculating to obtain the near-infrared illumination intensity in the total illumination intensity of the environment, and adjusting the infrared illumination light source according to the intensity of the near-infrared illumination intensity.
According to the embodiment of the invention, the infrared illumination light source is flexibly adjusted according to different environment types, so that the adjustment is more comprehensive, and the quality of an iris image is higher.
In conclusion, the embodiment of the invention can automatically adjust the infrared illumination light source according to different environment types, and has the advantages of wide application range, high adjustment accuracy and high quality of the acquired iris image.
The adjustment parameters in the above embodiments may be in various forms, and an embodiment is given here: the adjusting parameters are a proportionality coefficient a and a deviation parameter b, and the near-infrared illumination intensity is calculated by the following formula: x ═ aY + b, where X is the overall illumination intensity of the environment and Y is the near-infrared illumination intensity.
For a certain environment type, the near infrared illumination intensity and the total illumination intensity of the environment can be expressed linearly, a large amount of X and Y data are collected and fitted to obtain values of a and b, and meanwhile, the a and b are used as adjusting parameters.
The embodiment of the invention expresses the near-infrared illumination intensity and the total illumination intensity of the environment through a linear relation, and is simple, convenient and easy to calculate.
Further, the environment type is obtained by the following method:
the environment type is determined according to the overall illumination intensity and time of the environment. The total illumination intensity under different environment types is different, the environment type can be preliminarily judged through the total illumination intensity, and the time of the iris acquisition device and the iris recognition device can further enable the result to be more accurate.
Alternatively, the environment type is determined from external input. If the external input indicates the environment type, the environment type can be directly determined, and the method is simple and convenient.
And, there are a plurality of classification methods for the environment type, and an embodiment is provided herein, where the environment type includes: black night (0.001-0.02), moonlight (0.02-0.3), cloudy day indoor (5-50), cloudy day outdoor (50-500), clear day indoor (100-1000) and clear day outdoor (about 10 x 6 power), wherein the range of the illumination intensity is in brackets.
The embodiment of the invention has reasonable environment type division, can reduce the number of the environment types as much as possible, and can effectively distinguish different types of environment types.
The invention is illustrated below in a preferred embodiment:
1. using attached table 1, a number of tests were performed, and the results of the formula were obtained under different environment types, and the formula of the relationship between the near-infrared light finding intensity and the environment total illumination intensity was found, where the formula type is X ═ aY + b, where X is the environment total illumination intensity and Y is the near-infrared illumination intensity (where different environment types, X, Y, a and b, are given different superscripts and subscripts, respectively).
Table 1: statistical table of near-infrared illumination intensity and environment overall illumination intensity under various environments
For a certain environment type, the near infrared illumination intensity and the total illumination intensity of the environment can be expressed by linear expression, such as in outdoor sunlight, through the collected multiple groups of data
Fitting to obtain a1And b1To get the formula under this environment type: x1＝a1Y1+b1；
Similarly, the environment type under the outdoor cloud is changed for testing to obtain a formula under the illumination environment type: x2＝a2Y2+b2，
By analogy, for the nth lighting environment (the indoor night condition in table 1), the formula under the lighting environment type is obtained: xn＝anYn+bn。
Of course, the similar environment can be configured as a parameter, for example, the similar parameter can be classified into a type of environment through tests at indoor night and outdoor night, and the number of environment classification is reduced as much as possible.
2. The environment type (and including the illumination intensity value range of the environment type) and the parameters a and b are stored in the iris recognition device or the iris acquisition device for later use.
3. The overall illumination intensity of the environment is collected by an ambient light sensor.
4. And judging the type of the environment in which the value of the total illumination intensity of the environment falls to obtain the environment type.
5. And a and b are obtained through the corresponding relation between the environment type and the parameters a and b.
6. The near-infrared illumination intensity is calculated by using the formula X ═ aY + b.
7. And judging whether the near-infrared illumination intensity is slightly bright or slightly dark, if so, reducing the infrared illumination light source, and otherwise, enhancing the infrared illumination light source.
8. And collecting and outputting an iris image.
Wherein fig. 2 is an image in which the infrared illumination light source is too bright and the image sensor is not adjusted, fig. 3 is an image in which the infrared illumination light source is too dark and collected, fig. 4 is an image in which the infrared illumination light source is supplemented with light up to the standard, and the image sensor provides a very good compensation effect. Therefore, the embodiment of the invention can acquire the high-quality iris image.
In another aspect, an embodiment of the present invention provides an adaptive adjustment apparatus for iris recognition, as shown in fig. 5, including:
the acquisition module 11 is used for acquiring the overall illumination intensity and the environment type of the environment;
the adjusting parameter acquiring module 12 is configured to obtain an adjusting parameter in the current environment type according to a pre-stored correspondence between different environment types and the adjusting parameter;
the near-infrared illumination intensity acquisition module 13 is used for calculating the near-infrared illumination intensity according to the total illumination intensity of the environment and the adjustment parameters;
and the infrared illumination light source adjusting module 14 is used for adjusting the infrared illumination light source according to the near-infrared illumination intensity.
The embodiment of the invention can automatically adjust the infrared illumination light source according to different environment types, has wide application range and high adjustment accuracy, and acquires high quality iris images.
The adjustment parameters in the above embodiments may be in various forms, and an embodiment is given here: the adjusting parameters are a proportionality coefficient a and a deviation parameter b, and the near-infrared illumination intensity is calculated by the following formula: x ═ aY + b, where X is the overall illumination intensity of the environment and Y is the near-infrared illumination intensity.
For a certain environment type, the near infrared illumination intensity and the total illumination intensity of the environment can be expressed linearly, a large amount of X and Y data are collected and fitted to obtain values of a and b, and meanwhile, the a and b are used as adjusting parameters.
The embodiment of the invention expresses the near-infrared illumination intensity and the total illumination intensity of the environment through a linear relation, and is simple, convenient and easy to calculate.
Further, the environment type is obtained by the following units:
a first determining unit for determining the environment type according to the overall illumination intensity and time of the environment. The total illumination intensity under different environment types is different, the environment type can be preliminarily judged through the total illumination intensity, and the time of the iris acquisition device and the iris recognition device can further enable the result to be more accurate.
Or, a second determining unit for determining the environment type according to an external input. If the external input indicates the environment type, the environment type can be directly determined, and the method is simple and convenient.
And, there are a plurality of classification methods for the environment type, and an embodiment is provided herein, where the environment type includes: black night, night of the moon, cloudy day indoor, cloudy day outdoor, sunny day indoor and sunny day outdoor.
The embodiment of the invention has reasonable environment type division, can reduce the number of the environment types as much as possible, and can effectively distinguish different types of environment types.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (2)
1. An adaptive adjustment method for iris recognition, comprising:
acquiring the overall illumination intensity and environment type of an environment;
obtaining an adjusting parameter under the current environment type according to the corresponding relation between different pre-stored environment types and the adjusting parameter;
calculating according to the total illumination intensity of the environment and the adjusting parameters to obtain the near-infrared illumination intensity;
adjusting the infrared light illuminating source according to the near-infrared illumination intensity;
adjusting exposure, gain, white balance, Black Level and Gamma of the image sensor;
the adjusting parameters are a proportionality coefficient a and a deviation parameter b, and the near-infrared illumination intensity is calculated by the following formula: x ═ aY + b, where X is the overall illumination intensity of the environment and Y is the near-infrared illumination intensity;
the environment type is obtained by the following method:
determining the environment type according to the total illumination intensity and time of the environment;
the environment types include: black night, evening, cloudy day indoor, cloudy day outdoor, sunny day indoor and sunny day outdoor;
wherein, the total illumination intensity range of the night is 0.001-0.02 lux, the total illumination intensity range of the night is 0.02-0.3 lux, the total illumination intensity range of the cloudy room is 5-50 lux, the total illumination intensity range of the cloudy room is 50-500 lux, the total illumination intensity range of the sunny room is 100-1000 lux, and the total illumination intensity of the sunny room is 1 x 106lux。
2. An iris recognition adaptive adjustment device, comprising:
the acquisition module is used for acquiring the total illumination intensity and the environment type of the environment;
the adjusting parameter acquiring module is used for acquiring adjusting parameters under the current environment type according to the corresponding relationship between different pre-stored environment types and the adjusting parameters;
the near-infrared illumination intensity acquisition module is used for calculating to obtain the near-infrared illumination intensity according to the total illumination intensity of the environment and the adjusting parameters;
the infrared illumination light source adjusting module is used for adjusting the infrared illumination light source according to the near-infrared illumination intensity;
the adjusting parameters are a proportionality coefficient a and a deviation parameter b, and the near-infrared illumination intensity is calculated by the following formula: x ═ aY + b, where X is the overall illumination intensity of the environment and Y is the near-infrared illumination intensity;
the environment type is obtained by the following units:
a first determining unit for determining the environment type according to the total illumination intensity and time of the environment;
adjusting exposure, gain, white balance, Black Level and Gamma of the image sensor;
the environment types include: black night, evening, cloudy day indoor, cloudy day outdoor, sunny day indoor and sunny day outdoor;
wherein, the total illumination intensity range of the night is 0.001-0.02 lux, the total illumination intensity range of the night is 0.02-0.3 lux, the total illumination intensity range of the cloudy room is 5-50 lux, the total illumination intensity range of the cloudy room is 50-500 lux, the total illumination intensity range of the sunny room is 100-1000 lux, and the total illumination intensity of the sunny room is 1 x 106lux。
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| CN107506696A (en) | 2017-07-29 | 2017-12-22 | 广东欧珀移动通信有限公司 | Anti-fake processing method and related product |
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| CN109635678A (en) * | 2018-11-26 | 2019-04-16 | 北京无线电计量测试研究所 | A kind of iris information acquisition method and device |
| CN112130320A (en) * | 2019-06-24 | 2020-12-25 | 宏碁股份有限公司 | Head-mounted display device and adjustment method thereof |
| CN113536863A (en) * | 2020-04-22 | 2021-10-22 | 上海聚虹光电科技有限公司 | Spectral band selection method for self-adaptive iris gray scale |
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| CN204129753U (en) * | 2014-05-22 | 2015-01-28 | 宁波舜宇光电信息有限公司 | iris identification device |
| CN104848892A (en) * | 2015-04-02 | 2015-08-19 | 广东小天才科技有限公司 | Method and device for spectrum detection of user environment |
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