CN204480255U - A kind of encrypting fingerprint type computing machine - Google Patents
A kind of encrypting fingerprint type computing machine Download PDFInfo
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- CN204480255U CN204480255U CN201520211524.5U CN201520211524U CN204480255U CN 204480255 U CN204480255 U CN 204480255U CN 201520211524 U CN201520211524 U CN 201520211524U CN 204480255 U CN204480255 U CN 204480255U
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Abstract
The utility model relates to a kind of computing machine, more specifically to a kind of encrypting fingerprint type computing machine, utilize fingerprint to open computer, and finger print information adopts multiwindow collection, also can open computer when a part of fingerprint cannot be identified.Fingerprint sensor is for gathering finger print information, and the finger print information Image Segmentation Using that image segmentating device will collect, transmits fingerprint signal subregion.Noise in wave filter elimination signal, strengthens fingerprint texture structure.Filtering is carried out to signal in the streakline direction of direction extraction apparatus along signal in the zonule that image segmentating device is split, and strengthens the contrast of crestal line and valley line, and crestal line extraction apparatus is used for the valley line in elimination signal, extracts crestal line.The signal received is converted to digital signal by analog to digital converter.CPU Received signal strength also judges signal and processes.Digital signal is converted into simulating signal by video card, and carries out decoding process to signal, and digital signal is converted into picture signal.Display screen is for showing image.
Description
Technical field
The utility model relates to a kind of computing machine, more specifically to a kind of encrypting fingerprint type computing machine.
Background technology
Along with the universal of computing machine and application, also from strength to strength, a lot of Industry Control and office all be unable to do without computing machine to the function of computing machine.Store a lot of user profile in computing machine, and in order to protection calculation machine, a lot of people can arrange password at log-in interface.If the complexity that password is arranged, easily forget, if simple simon says is easy to again crack.And the password that the modern times have invented a kind of unlocked by fingerprint arranges form, gather user's fingerprint, not only facilitate, security is also high.But the finger of user becomes easily infected by spot, the insensitive words of fingerprint recognition, many times can cause recognition failures.
Summary of the invention
The technical matters that the utility model mainly solves is: provide a kind of encrypting fingerprint type computing machine, utilize fingerprint to open computer, and finger print information adopts multiwindow collection, also can open computer when a part of fingerprint cannot be identified.
For solving the problems of the technologies described above, the utility model relates to a kind of computing machine, more specifically to a kind of encrypting fingerprint type computing machine, comprise fingerprint sensor, image segmentating device, wave filter, direction extraction apparatus, crestal line extraction apparatus, analog to digital converter, CPU, FLASH memory, video card and display screen, fingerprint is utilized to open computer, and finger print information adopts multiwindow collection, also can open computer when a part of fingerprint cannot be identified.
Fingerprint sensor is connected with image segmentating device, and fingerprint sensor is for gathering finger print information, and the finger print information Image Segmentation Using that image segmentating device will collect, transmits fingerprint signal subregion.The output terminal of image segmentating device is connected with filter input end, the noise in wave filter elimination signal, strengthens fingerprint texture structure.Direction extraction apparatus input end is connected with wave filter, output terminal is connected with crestal line extraction apparatus, filtering is carried out to signal in the streakline direction of direction extraction apparatus along signal in the zonule that image segmentating device is split, strengthen the contrast of crestal line and valley line, crestal line extraction apparatus is used for the valley line in elimination signal, extracts crestal line.The signal received is converted to digital signal by analog to digital converter.CPU Received signal strength also judges signal and processes.FLASH memory is for storing the data of CPU transmission and calling stored data for CPU.Digital signal is converted into simulating signal by video card, and carries out decoding process to signal, and digital signal is converted into picture signal.Display screen is for showing image.
As the further optimization of this programme, the fingerprint sensor that the fingerprint sensor described in a kind of encrypting fingerprint type of the utility model computing machine selects Ao Sen company to produce, its model is AES1660.
As the further optimization of this programme, the direction extraction apparatus described in a kind of encrypting fingerprint type of the utility model computing machine is made up of wave filter, and Gabor filter selected by wave filter.
The beneficial effect of a kind of encrypting fingerprint type of the utility model computing machine is:
A. the security of computing machine improves, and improves data protection ability;
B. computing machine is opened conveniently;
C. there is higher fingerprint recognition sensitivity.
Accompanying drawing explanation
Fig. 1 is a kind of encrypting fingerprint type of the utility model system for computer block diagram.
Embodiment
In FIG, the utility model relates to a kind of computing machine, more specifically to a kind of encrypting fingerprint type computing machine, comprise fingerprint sensor, image segmentating device, wave filter, direction extraction apparatus, crestal line extraction apparatus, analog to digital converter, CPU, FLASH memory, video card and display screen, fingerprint is utilized to open computer, and finger print information adopts multiwindow collection, also can open computer when a part of fingerprint cannot be identified.
Fingerprint sensor is connected with image segmentating device, and fingerprint sensor is for gathering finger print information, and the finger print information Image Segmentation Using that image segmentating device will collect, transmits fingerprint signal subregion.The fingerprint sensor that fingerprint sensor selects Ao Sen company to produce, its model is AES1660.AES1660 is semiconductor-type sensors, finger contact fingerprint sensor, the actual range that salient point and the concave point place of finger contact fingerprint sensor is in different size, form different inductance value, the different induction value collected gathers by fingerprint sensor, namely complete the input of signal, fingerprint is collected.A fingerprint signal is divided into multiple zonule by image segmentating device, and CPU can identify each zonule respectively when identifying, the signal in last comprehensive all regions judges, reduces False Rate.
The output terminal of image segmentating device is connected with filter input end, the noise in wave filter elimination signal, strengthens fingerprint texture structure.Direction extraction apparatus is made up of wave filter, and Gabor filter selected by wave filter.Gabor filter carries out filtering to the signal of each zonule, and signal is divided into different frequency components, the frequency domain of effective binding signal and spatial domain, while elimination noise, retains crestal line and the valley line part of fingerprint, improves signal identification rate.
Direction extraction apparatus input end is connected with wave filter, output terminal is connected with crestal line extraction apparatus, filtering is carried out to signal in the streakline direction of direction extraction apparatus along signal in the zonule that image segmentating device is split, strengthen the contrast of crestal line and valley line, crestal line extraction apparatus is used for the valley line in elimination signal, extracts crestal line.Anisotropic filter makes fingerprint along the Smoothing of Gray Image of streakline, and is separated at the signal perpendicular to streakline direction, thus makes crestal line signal more level and smooth, and inhibits the signal intensity in valley line direction.Signal through the filtering of crestal line extraction apparatus, extracts crestal line signal again.
The signal received is converted to digital signal by analog to digital converter.CPU Received signal strength also judges signal and processes.FLASH memory is for storing the data of CPU transmission and calling stored data for CPU.Digital signal is converted into simulating signal by video card, and carries out decoding process to signal, and digital signal is converted into picture signal.Display screen is for showing image.The signal extracted from crestal line extraction apparatus is simulating signal, and signal is converted to CPU through analog to digital converter and can be other digital signal and transfers to CPU.In CPU, signal stores after treatment in digital form, and the information transmission of storage, to FLASH memory, namely completes the typing of signal.
When user opens computer, finger is placed on Fingerprint Identification Unit, and CPU receives information and the data transferred in FLASH memory are compared, and comparison success, sends signal to display screen, controls display screen and enters computation desktop.
Certain above-mentioned explanation is not limitation of the utility model; the utility model is also not limited only to above-mentioned citing; the change that those skilled in the art make in essential scope of the present utility model, remodeling, interpolation or replacement, also belong to protection domain of the present utility model.
Claims (3)
1. an encrypting fingerprint type computing machine, comprise fingerprint sensor, image segmentating device, wave filter, direction extraction apparatus, crestal line extraction apparatus, analog to digital converter, CPU, FLASH memory, video card and display screen, it is characterized in that: fingerprint sensor is connected with image segmentating device, fingerprint sensor is for gathering finger print information, the finger print information Image Segmentation Using that image segmentating device will collect, transmits fingerprint signal subregion; The output terminal of image segmentating device is connected with filter input end, the noise in wave filter elimination signal, strengthens fingerprint texture structure; Direction extraction apparatus input end is connected with wave filter, output terminal is connected with crestal line extraction apparatus, filtering is carried out to signal in the streakline direction of direction extraction apparatus along signal in the zonule that image segmentating device is split, strengthen the contrast of crestal line and valley line, crestal line extraction apparatus is used for the valley line in elimination signal, extracts crestal line; The signal received is converted to digital signal by analog to digital converter; CPU Received signal strength also judges signal and processes; FLASH memory is for storing the data of CPU transmission and calling stored data for CPU; Digital signal is converted into simulating signal by video card, and carries out decoding process to signal, and digital signal is converted into picture signal; Display screen is for showing image.
2. a kind of encrypting fingerprint type computing machine according to claim 1, it is characterized in that: the fingerprint sensor that described fingerprint sensor selects Ao Sen company to produce, its model is AES1660.
3. a kind of encrypting fingerprint type computing machine according to claim 1, is characterized in that: described direction extraction apparatus is made up of wave filter, and Gabor filter selected by wave filter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520211524.5U CN204480255U (en) | 2015-04-04 | 2015-04-04 | A kind of encrypting fingerprint type computing machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520211524.5U CN204480255U (en) | 2015-04-04 | 2015-04-04 | A kind of encrypting fingerprint type computing machine |
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| Publication Number | Publication Date |
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| CN204480255U true CN204480255U (en) | 2015-07-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201520211524.5U Expired - Fee Related CN204480255U (en) | 2015-04-04 | 2015-04-04 | A kind of encrypting fingerprint type computing machine |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260672A (en) * | 2015-09-18 | 2016-01-20 | 宇龙计算机通信科技(深圳)有限公司 | Bio-information storage method, bio-information storage apparatus and terminal |
| CN105956448A (en) * | 2016-05-27 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and apparatus, and user terminal |
-
2015
- 2015-04-04 CN CN201520211524.5U patent/CN204480255U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260672A (en) * | 2015-09-18 | 2016-01-20 | 宇龙计算机通信科技(深圳)有限公司 | Bio-information storage method, bio-information storage apparatus and terminal |
| CN105956448A (en) * | 2016-05-27 | 2016-09-21 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and apparatus, and user terminal |
| CN105956448B (en) * | 2016-05-27 | 2017-11-24 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method, apparatus and user terminal |
| US10146990B2 (en) | 2016-05-27 | 2018-12-04 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | Method and device for fingerprint unlocking and user terminal |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20160804 Address after: 150040 Northeast Forestry University, Harbin Road, Xiangfang District, Heilongjiang, 26 Patentee after: Northeast Forestry University Address before: 150040 Northeast Forestry University, Harbin Road, Xiangfang District, Heilongjiang, 26 Patentee before: Ni Zengchao Patentee before: Xu Luyang |
|
| CB03 | Change of inventor or designer information |
Inventor after: Li Luoni Inventor after: Huang Shan Inventor before: Ni Zengchao Inventor before: Xu Luyang Inventor before: Wang Jing |
|
| CB03 | Change of inventor or designer information | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150715 Termination date: 20170404 |
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| CF01 | Termination of patent right due to non-payment of annual fee |