CN108537167A - A kind of channel scanning method for fingerprint recognition - Google Patents

A kind of channel scanning method for fingerprint recognition Download PDF

Info

Publication number
CN108537167A
CN108537167A CN201810309062.9A CN201810309062A CN108537167A CN 108537167 A CN108537167 A CN 108537167A CN 201810309062 A CN201810309062 A CN 201810309062A CN 108537167 A CN108537167 A CN 108537167A
Authority
CN
China
Prior art keywords
channel
pixel
difference value
fingerprint
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810309062.9A
Other languages
Chinese (zh)
Inventor
余佳
余扬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Xinsi Technology Co.,Ltd.
Original Assignee
Chengdu Hi Tech Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chengdu Hi Tech Technology Co Ltd filed Critical Chengdu Hi Tech Technology Co Ltd
Priority to CN201810309062.9A priority Critical patent/CN108537167A/en
Publication of CN108537167A publication Critical patent/CN108537167A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor

Landscapes

  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Image Input (AREA)
  • Collating Specific Patterns (AREA)

Abstract

The present invention discloses a kind of channel scanning method for fingerprint recognition, including step:Pass through image scanning sensor scan fingerprint image;Each pixel scanned is connected into multiple channels;Each pixel passes sequentially through the recognition result that each channel passes through amplification and is converted to each channel, and the recognition result in each channel has a difference value;Total variances value of each pixel under multiple channels is the sum of each channel difference value;To each continuous pixels multi collect, according to the product of times of collection and total variances value as pixel difference value;Conversion fingerprint image is carried out by pixel difference value, obtains identification image.The present invention can completely eliminate the difference between each scan channel, improve the accuracy and speed of fingerprint recognition.

Description

A kind of channel scanning method for fingerprint recognition
Technical field
The invention belongs to fingerprint identification technology fields, more particularly to a kind of channel scanning method for fingerprint recognition.
Background technology
Now, more next as a variety of biological identification technologies of representative using fingerprint recognition with internet, the development of mobile payment More as the important means that cybertimes discriminate one's identification.
The fingerprint recognition product or scheme of complete set include three essential elements:Fingerprint sensor, fingerprint algorithm processing Chip and fingerprint algorithm software.Fingerprint Identification Unit reads fingerprint, and there are many different modes, but particular technique mainly also relates to four A function:It reads fingerprint image, extraction feature, preserve data and comparison.Somatic fingerprint is read by fingerprint reading systems Then image will carry out original image preliminary processing, be allowed to apparent, then establish the spy of fingerprint by identification of fingerprint software Levy data.Fingerprint Identification Unit spectroscopy, semiconductor transducer and capacitance sensor etc. on the market.Wherein capacitive sensing technology Basic principle is its aberrant conduction fingerprint image according to the capacitance of live finger surface layer microgroove valley and a ridge.
Existing technology is using the data of one frame of access, then in the data for each pixel for checking each frame, profit It is adjusted with algorithm, this method needs chip occupying area, because to use flash or OTP to carry out data storage, substantially Degree increases the cost of chip.
Existing imaging sensor be by condenser type detect in the way of, including capacitor array, analog channel, digital processing Unit, power supply unit and interface.Wherein capacitor array, such as 112*96, expression capacitor array has and laterally has 112 pixels, longitudinal There are 96 pixels.Analog channel, that is, AFE+ADC arrays include what amplifier and ADC converters of front end.The main work(of the module It can be the charge variation for detecting front capacitor array, amplify by amplifier, digital signal is converted to by ADC, so as to Digital circuit later handles these signals.Digital signal that treated.It is transferred to master by SPI interface or other interfaces Machine host.
But due in image sensor chip manufacturing process, although the same when being designed between multiple analog channels, Due to the Gradient Effect caused by dopant concentration in manufacturing process, it is difficult to accomplish that each channel is just the same.Therefore, each A channel is all and design value is all there are one deviation, leverages the precision of fingerprint recognition.
Invention content
To solve the above-mentioned problems, the present invention proposes a kind of channel scanning method for fingerprint recognition, can be complete The difference between each scan channel is eliminated, the accuracy and speed of fingerprint recognition is improved.
In order to achieve the above objectives, the technical solution adopted by the present invention is:A kind of channel scanning method for fingerprint recognition, Including step:
Pass through image scanning sensor scan fingerprint image;
Each pixel scanned is connected into multiple channels;
Each pixel passes sequentially through the recognition result that each channel passes through amplification and is converted to each channel, often There is a difference value in the recognition result in a channel;
Total variances value of each pixel under multiple channels is the sum of each channel difference value;
To each continuous pixels multi collect, according to the product of times of collection and total variances value as pixel difference value;
Conversion fingerprint image is carried out by pixel difference value, obtains identification image.
Further, the times of collection is the integral multiple of channel number.
Further, the fingerprint image each pixel connect 8 channels include channel 1, channel 2, channel 3, Channel 4, channel 5, channel 6, channel 7 and channel 8;Difference value for 8 channels be respectively Δ a, Δ b, Δ c, Δ d, Δ e, Δ f, Δ g and Δ h;Times of collection is the integral multiple N in 8 channels, therefore pixel difference value is N* (Δ a+ Δ b+ Δ c+ Δs d+Δe+Δf+Δg+Δh)。
Further, the channel includes amplifier and analog-digital converter, the pixel of the scanning passes sequentially through amplification Device and analog-digital converter are amplified and are converted to recognition result.
Using the advantageous effect of the technical program:
Using scan mode of the present invention, to each pixel, the difference that channel is brought is all just the same, is all channel differences It is different cumulative and, therefore the difference between each channel can be completely eliminated, improve the accuracy and speed of fingerprint recognition;
Using scan method of the present invention, system cost will not be increased, and the problem of eliminating channel difference can be reached.
Description of the drawings
Fig. 1 is a kind of channel scanning method flow diagram for fingerprint recognition of the present invention;
Fig. 2 is the scanning process schematic diagram in channel 1 in the embodiment of the present invention;
Fig. 3 is the scanning process schematic diagram in channel 2 in the embodiment of the present invention;
Fig. 4 is the scanning process schematic diagram in channel 8 in the embodiment of the present invention.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention is made into one below in conjunction with the accompanying drawings Step illustrates.
In the present embodiment, shown in Figure 1, the present invention proposes a kind of channel scanning method for fingerprint recognition, Including step:
Pass through image scanning sensor scan fingerprint image;
Each pixel scanned is connected into multiple channels;
Each pixel passes sequentially through the recognition result that each channel passes through amplification and is converted to each channel, often There is a difference value in the recognition result in a channel;
Total variances value of each pixel under multiple channels is the sum of each channel difference value;
To each continuous pixels multi collect, according to the product of times of collection and total variances value as pixel difference value;
Conversion fingerprint image is carried out by pixel difference value, obtains identification image.
As the prioritization scheme of above-described embodiment, the times of collection is the integral multiple of channel number.
As the prioritization scheme of above-described embodiment, as shown in figs 2-4, each pixel connection 8 of the fingerprint image A channel includes channel 1, channel 2, channel 3, channel 4, channel 5, channel 6, channel 7 and channel 8;For 8 channels Difference value is respectively Δ a, Δ b, Δ c, Δ d, Δ e, Δ f, Δ g and Δ h;Times of collection is the integral multiple N in 8 channels, therefore Pixel difference value is N* (Δ a+ Δ b+ Δ c+ Δ d+ Δ e+ Δ f+ Δ g+ Δs h).
As the prioritization scheme of above-described embodiment, the channel includes amplifier and analog-digital converter, the picture of the scanning Element passes sequentially through amplifier and analog-digital converter is amplified and is converted to recognition result.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention.The technology of the industry Personnel are it should be appreciated that the present invention is not limited to the above embodiments, and the above embodiments and description only describe this The principle of invention, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes Change and improvement all fall within the protetion scope of the claimed invention.The claimed scope of the invention by appended claims and its Equivalent thereof.

Claims (4)

1. a kind of channel scanning method for fingerprint recognition, which is characterized in that including step:
Pass through image scanning sensor scan fingerprint image;
Each pixel scanned is connected into multiple channels;
Each pixel passes sequentially through the recognition result that each channel passes through amplification and is converted to each channel, Mei Getong There is a difference value in the recognition result in road;
Total variances value of each pixel under multiple channels is the sum of each channel difference value;
To each continuous pixels multi collect, according to the product of times of collection and total variances value as pixel difference value;
Conversion fingerprint image is carried out by pixel difference value, obtains identification image.
2. a kind of channel scanning method for fingerprint recognition according to claim 1, which is characterized in that the acquisition time Number is the integral multiple of channel number.
3. a kind of channel scanning method for fingerprint recognition according to claim 2, which is characterized in that the fingerprint image It includes channel 1, channel 2, channel 3, channel 4, channel 5, channel 6, channel 7 and channel that each pixel of picture, which connects 8 channels, 8;Difference value for 8 channels is respectively Δ a, Δ b, Δ c, Δ d, Δ e, Δ f, Δ g and Δ h;Times of collection is 8 The integral multiple N in channel, therefore pixel difference value is N* (Δ a+ Δ b+ Δ c+ Δ d+ Δ e+ Δ f+ Δ g+ Δs h).
4. a kind of channel scanning method for fingerprint recognition according to claim 3, which is characterized in that the channel packet Amplifier and analog-digital converter are included, the pixel of the scanning passes sequentially through amplifier and analog-digital converter is amplified and converts To recognition result.
CN201810309062.9A 2018-04-09 2018-04-09 A kind of channel scanning method for fingerprint recognition Pending CN108537167A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810309062.9A CN108537167A (en) 2018-04-09 2018-04-09 A kind of channel scanning method for fingerprint recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810309062.9A CN108537167A (en) 2018-04-09 2018-04-09 A kind of channel scanning method for fingerprint recognition

Publications (1)

Publication Number Publication Date
CN108537167A true CN108537167A (en) 2018-09-14

Family

ID=63483422

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810309062.9A Pending CN108537167A (en) 2018-04-09 2018-04-09 A kind of channel scanning method for fingerprint recognition

Country Status (1)

Country Link
CN (1) CN108537167A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1474590A (en) * 2002-06-28 2004-02-11 �ֵܹ�ҵ��ʽ���� Image reading device
CN105718851A (en) * 2015-10-30 2016-06-29 深圳芯启航科技有限公司 Fingerprint image filtering method and apparatus applied to fingerprint sensor
CN105718850A (en) * 2015-10-21 2016-06-29 深圳芯启航科技有限公司 Pixel point sampling method and apparatus applied to fingerprint sensor

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1474590A (en) * 2002-06-28 2004-02-11 �ֵܹ�ҵ��ʽ���� Image reading device
CN105718850A (en) * 2015-10-21 2016-06-29 深圳芯启航科技有限公司 Pixel point sampling method and apparatus applied to fingerprint sensor
CN105718851A (en) * 2015-10-30 2016-06-29 深圳芯启航科技有限公司 Fingerprint image filtering method and apparatus applied to fingerprint sensor

Similar Documents

Publication Publication Date Title
US7203347B2 (en) Method and system for extracting an area of interest from within a swipe image of a biological surface
EP3218849B1 (en) Fingerprint sensors having in-pixel optical sensors
US7200250B2 (en) Sweep-type fingerprint sensor module
US7606440B2 (en) Linear image sensing device with image matching function
US6333989B1 (en) Contact imaging device
US7272247B2 (en) Method and system for fingerprint authentication
US6538456B1 (en) Capacitive fingerprint sensor with adjustable gain
US20090252386A1 (en) Apparatus and Method for Reducing Parasitic Capacitive Coupling and Noise in Fingerprint Sensing Circuits
KR102028243B1 (en) Fingerprint detection circuit and capacitive fingerprint sensor thereof, and mobile terminal
JP2004199691A5 (en)
US9699396B2 (en) Surface contact imaging sensor
CN108537167A (en) A kind of channel scanning method for fingerprint recognition
US20070019843A1 (en) Wireless peripheral device having a sweep-type fingerprint sensing chip
US20090224047A1 (en) Contactless Scan Position Orientation Sensing
KR100431750B1 (en) Unit fixel for capacitive semiconductor fingerprint sensor and fingerprint sensing device having the same
KR100473383B1 (en) Unit fixel for capacitive fingerprint sensor and fingerprint sensing device having the same
US20060078178A1 (en) Swipe sensor
CN114627512A (en) Fingerprint image generating method and device capable of saving internal memory
CN111709380A (en) Optical fingerprint identification method of screen and related product
JP2004213689A (en) Image input device and fingerprint recognition device
JP2003242489A (en) Image input device and fingerprint recognizing device
CN209803816U (en) Capacitive sensor and electronic device
JP2590099B2 (en) Character reading method
CN107967464B (en) Capacitive sensor and electronic device
US20190187816A1 (en) Mouse with capacitance fingerprint sensor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20200901

Address after: Building 12-463, No. 29, buyue Road, Qiaolin street, Pukou District, Nanjing City, Jiangsu Province

Applicant after: Nanjing Xinsi Technology Co.,Ltd.

Address before: 610000 1 1, Tian Shun Street, hi tech Zone, Chengdu, Sichuan.

Applicant before: CHENGDU GAOKE CHUANGZHI TECHNOLOGY Co.,Ltd.

TA01 Transfer of patent application right
RJ01 Rejection of invention patent application after publication

Application publication date: 20180914

RJ01 Rejection of invention patent application after publication