CN104603790B - The scan method and system of intelligent mobile terminal - Google Patents

The scan method and system of intelligent mobile terminal Download PDF

Info

Publication number
CN104603790B
CN104603790B CN201580000006.1A CN201580000006A CN104603790B CN 104603790 B CN104603790 B CN 104603790B CN 201580000006 A CN201580000006 A CN 201580000006A CN 104603790 B CN104603790 B CN 104603790B
Authority
CN
China
Prior art keywords
picture
axis coordinate
vein
standard
midpoint
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.)
Active
Application number
CN201580000006.1A
Other languages
Chinese (zh)
Other versions
CN104603790A (en
Inventor
张黎君
熊胜峰
叶培锋
郑旭升
田辉
朱晨露
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.)
Shenzhen Miki Intelligent Technology Co Ltd
Original Assignee
Shenzhen Miki Intelligent 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 Shenzhen Miki Intelligent Technology Co Ltd filed Critical Shenzhen Miki Intelligent Technology Co Ltd
Publication of CN104603790A publication Critical patent/CN104603790A/en
Application granted granted Critical
Publication of CN104603790B publication Critical patent/CN104603790B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • 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
    • 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
    • G06V40/14Vascular patterns

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Collating Specific Patterns (AREA)
  • Telephone Function (AREA)
  • Image Analysis (AREA)

Abstract

The applicable electronic communication field of the present invention, there is provided a kind of scan method of intelligent mobile terminal, methods described include:Mobile terminal infrared scan obtains the vein picture of user's finger;The vein picture and the standard IV prestored are compared;Determine whether to open mobile terminal according to comparison result.Method provided by the invention has the advantages of accuracy of identification is high.

Description

The scan method and system of intelligent mobile terminal
Technical field
The invention belongs to the scan method and system of electronic communication field, more particularly to a kind of intelligent mobile terminal.
Background technology
Mobile terminal makes mobile communication terminal refer to the computer equipment that can be used on the move, and broad sense says bag Include mobile phone, notebook, tablet personal computer, POS or even include vehicle-mounted computer.But refer to mobile phone in most cases or have The smart mobile phone and tablet personal computer of a variety of application functions.Intelligent mobile terminal refer to system can Intelligent Installation it is corresponding Application program terminal device, generally mobile phone and tablet personal computer.
Existing mobile phone and tablet personal computer can not realize infrared scan, and for mobile phone, security is particularly significant, not only Only it is the security of network, the security used is also extremely important, after IPONE5s has introduced fingerprint identification device, mobile phone Safeguard protection be not only to be realized by password, but the security of fingerprint recognition is still too low, because the essence of fingerprint recognition Degree and reliability can not ensure, because finger is a position for being easier injury, existing intelligent mobile terminal Need a kind of brand-new scanning recognition method.
The content of the invention
Purpose of the embodiment of the present invention is to provide a kind of scan method of intelligent mobile terminal solve the safety of prior art The problem of property is low.
The embodiment of the present invention is achieved in that a kind of scan method of intelligent mobile terminal, and methods described includes:
Mobile terminal infrared scan obtains the vein picture of user's finger;
The vein picture and the standard IV prestored are compared;
Determine whether to open mobile terminal according to comparison result.
Optionally, it is described by the vein picture and the standard IV that prestores be compared for:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, N number of specified size picture is extracted, extracts the f picture that vein is included in N number of picture, m bar equal space lines are set to f picture, obtained Take the X-axis coordinate X of m intersection point of m bars equal space line and veinfm
Wherein, which width picture f represents, m represents the label of intersection point;Obtain the X-axis coordinate of all intersection points in f picture With, such as all intersection points it is X-axis coordinate and with standard IV picture set in advance and same or similar, it is determined that compare knot Fruit is to meet;Otherwise, comparison result is not met.
Optionally, all intersection points is X-axis coordinate and to standard IV picture set in advance and similar specific For:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis at the vein midpoint of standard IV picture Then the X-axis coordinate square at the difference of coordinate square divided by the vein midpoint of standard IV picture is multiplied by absolutely;With deviation hundred The X-axis coordinate sum of point ratio=all intersection points subtracts the difference divided by standard IV of all X-axis coordinate sums of standard IV picture Then all X-axis coordinate sums of picture are multiplied by absolutely.
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
On the other hand, there is provided a kind of scanning system of intelligent mobile terminal, the system include:
Infrared scan unit, the vein picture of user's finger is obtained for infrared scan;
Comparing unit, for the vein picture and the standard IV prestored to be compared;
Start unit, for determining whether to open mobile terminal according to comparison result.
Optionally, the comparing unit is specifically used for:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, N number of specified size picture is extracted, extracts the f picture that vein is included in N number of picture, m bar equal space lines are set to f picture, obtained Take the X-axis coordinate X of m intersection point of m bars equal space line and veinfm
Wherein, which width picture f represents, m represents the label of intersection point;Obtain the X-axis coordinate of all intersection points in f picture With, such as all intersection points it is X-axis coordinate and with standard IV picture set in advance and same or similar, it is determined that compare knot Fruit is to meet;Otherwise, comparison result is not met.
Optionally, all intersection points is X-axis coordinate and to standard IV picture set in advance and similar specific For:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis at the vein midpoint of standard IV picture Then the X-axis coordinate square at the difference of coordinate square divided by the vein midpoint of standard IV picture is multiplied by absolutely;With deviation hundred The X-axis coordinate sum of point ratio=all intersection points subtracts the difference divided by standard IV of all X-axis coordinate sums of standard IV picture Then all X-axis coordinate sums of picture are multiplied by absolutely.
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
In embodiments of the present invention, the technical scheme that technical scheme provided by the invention provides provides a kind of brand-new scanning Scheme, it has the advantages of infrared vein identification, and compared to fingerprint recognition, hand vein recognition has very high reliability, and vein Stability it is also more much higher than fingerprint, so it has the advantages of safe.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the scan method of intelligent mobile terminal provided by the invention;
Fig. 2 is the structure chart of the scanning system of intelligent mobile terminal provided by the invention;
Fig. 3 is the discrimination schematic diagram of method provided by the invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
The specific embodiment of the invention provides a kind of scan method of intelligent mobile terminal, and this method is by intelligent mobile terminal Complete, as shown in figure 1, including:
101st, mobile terminal infrared scan obtains the vein picture of user's finger;
102nd, the vein picture and the standard IV prestored are compared;
103rd, determine whether to open mobile terminal according to comparison result.
Technical scheme provided by the invention provides a kind of brand-new scan method, and vein scanning is increased to mobile terminal by it It is interior, and a kind of brand-new vein infrared identification algorithm is provided, the hand vein recognition algorithm, which has, improves the excellent of hand vein recognition accuracy rate Point, so it has the advantages of safe, in addition, vein, unlike fingerprint, it does not allow easy damaged, so its reliability can also carry It is much higher.
Optionally, above-mentioned 102 implementation method is specifically as follows:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, N number of specified size picture is extracted, extracts the f picture that vein is included in N number of picture, m bar equal space lines are set to f picture, obtained Take the X-axis coordinate X of m intersection point of m bars equal space line and veinfm
Wherein, which width picture f represents, m represents the label of intersection point;Obtain the X-axis coordinate of all intersection points in f picture With, such as all intersection points it is X-axis coordinate and with standard IV picture set in advance and same or similar, it is determined that compare knot Fruit is to meet;Otherwise, comparison result is not met.
The present invention, which provides this scheme, extraordinary to solve the problems, such as picture rotation, because coming for hand vein recognition contrast Say, in angle difference, the difficulty of identification is very big for it, and the change of especially trickle angle is especially big to influenceing, but such a side The identification of method can avoid the change of microgroove angle to the influence of accuracy of identification, its identification essence for angular deviation within 5 ° Degree is especially high, so it has the advantages of improving accuracy of identification.
The X-axis coordinate and to standard IV picture set in advance and similar of above-mentioned all intersection points is specifically as follows:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis at the vein midpoint of standard IV picture Then the X-axis coordinate square at the difference of coordinate square divided by the vein midpoint of standard IV picture is multiplied by absolutely;With deviation hundred The X-axis coordinate sum of point ratio=all intersection points subtracts the difference divided by standard IV of all X-axis coordinate sums of standard IV picture Then all X-axis coordinate sums of picture are multiplied by absolutely.
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
In order to represent the recognition performance of the present invention, the method (normalization and bidirectional weighting that the present invention is provided by prior art Vein identification method) it is identified and compares with method provided by the invention, experimental data is as follows:
Table 1:
After rotating to an angle, such as 5 °, the experimental data of identification is as follows:
Table 2:
It can see by the experimental data of table 1, table 2, after rotating to an angle, the method that the present invention uses has The advantages of obviously improving percent of pass, its percent of pass is as shown in Figure 3.
The present invention a kind of scanning system of intelligent mobile terminal is also provided, the system as shown in Fig. 2 including:
Infrared scan unit 21, the vein picture of user's finger is obtained for infrared scan;
Comparing unit 22, for the vein picture and the standard IV prestored to be compared;
Start unit 23, for determining whether to open mobile terminal according to comparison result.
Optionally, comparing unit 22 is specifically used for:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, N number of specified size picture is extracted, extracts the f picture that vein is included in N number of picture, m bar equal space lines are set to f picture, obtained Take the X-axis coordinate X of m intersection point of m bars equal space line and veinfm
Wherein, which width picture f represents, m represents the label of intersection point;Obtain the X-axis coordinate of all intersection points in f picture With, such as all intersection points it is X-axis coordinate and with standard IV picture set in advance and same or similar, it is determined that compare knot Fruit is to meet;Otherwise, comparison result is not met.
Optionally, all intersection points is X-axis coordinate and to standard IV picture set in advance and similar specific For:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture The X-axis coordinate at vein midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis at the vein midpoint of standard IV picture Then the X-axis coordinate square at the difference of coordinate square divided by the vein midpoint of standard IV picture is multiplied by absolutely;With deviation hundred The X-axis coordinate sum of point ratio=all intersection points subtracts the difference divided by standard IV of all X-axis coordinate sums of standard IV picture Then all X-axis coordinate sums of picture are multiplied by absolutely.
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.

Claims (4)

1. a kind of scan method of intelligent mobile terminal, it is characterised in that methods described includes:
Mobile terminal infrared scan obtains the vein picture of user's finger;
The vein picture and the standard IV prestored are compared;
Determine whether to open mobile terminal according to comparison result;
Wherein, it is described by the vein picture and the standard IV that prestores be compared for:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, extracts N Individual specified size picture, the f picture that vein is included in N number of picture is extracted, m bar equal space lines are set to f picture, obtain m bars The X-axis coordinate X of m intersection point of equal space line and veinfm;Wherein, which width picture f represents, m represents the label of intersection point;Obtain f The sum of the X-axis coordinate of all intersection points in picture, such as the X-axis coordinate of all intersection points and with standard IV picture set in advance With it is same or similar, it is determined that comparison result is meets;Otherwise, comparison result is not met.
2. according to the method for claim 1, it is characterised in that all intersection points X-axis coordinate and with presetting It is standard IV picture and similar be specially:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture vein The X-axis coordinate at midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis coordinate at the vein midpoint of standard IV picture Square difference divided by standard IV picture vein midpoint X-axis coordinate square then be multiplied by absolutely;And deviation percent The X-axis coordinate sum of=all intersection points subtracts the difference divided by standard IV picture of all X-axis coordinate sums of standard IV picture All X-axis coordinate sums then be multiplied by absolutely;
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
3. a kind of scanning system of intelligent mobile terminal, it is characterised in that the system includes:
Infrared scan unit, the vein picture of user's finger is obtained for infrared scan;
Comparing unit, for the vein picture and the standard IV prestored to be compared;
Start unit, for determining whether to open mobile terminal according to comparison result;
Wherein, the comparing unit is specifically used for:
The picture that the vein picture switches to N number of specified size is extracted, N number of specified size picture is pre-processed, extracts N Individual specified size picture, the f picture that vein is included in N number of picture is extracted, m bar equal space lines are set to f picture, obtain m bars The X-axis coordinate X of m intersection point of equal space line and veinfm;Wherein, which width picture f represents, m represents the label of intersection point;Obtain f The sum of the X-axis coordinate of all intersection points in picture, such as the X-axis coordinate of all intersection points and with standard IV picture set in advance With it is same or similar, it is determined that comparison result is meets;Otherwise, comparison result is not met.
4. system according to claim 3, it is characterised in that all intersection points X-axis coordinate and with presetting It is standard IV picture and similar be specially:
The X-axis coordinate of all intersection points is sorted by numerical values recited, searches the X-axis coordinate at midpoint, obtains standard IV picture vein The X-axis coordinate at midpoint,
The X-axis coordinate square at midpoint deviation percent=lookup midpoint subtracts the X-axis coordinate at the vein midpoint of standard IV picture Square difference divided by standard IV picture vein midpoint X-axis coordinate square then be multiplied by absolutely;And deviation percent The X-axis coordinate sum of=all intersection points subtracts the difference divided by standard IV picture of all X-axis coordinate sums of standard IV picture All X-axis coordinate sums then be multiplied by absolutely;
As and deviation percent and midpoint deviation percent not less than given threshold, it is determined that it is similar;
As and deviation percent and midpoint deviation percent and any of exceed given threshold, it is determined that dissmilarity.
CN201580000006.1A 2015-01-15 2015-01-15 The scan method and system of intelligent mobile terminal Active CN104603790B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2015/070791 WO2016112515A1 (en) 2015-01-15 2015-01-15 Scanning method and system for smart mobile terminal

Publications (2)

Publication Number Publication Date
CN104603790A CN104603790A (en) 2015-05-06
CN104603790B true CN104603790B (en) 2018-02-02

Family

ID=53127897

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201580000006.1A Active CN104603790B (en) 2015-01-15 2015-01-15 The scan method and system of intelligent mobile terminal

Country Status (2)

Country Link
CN (1) CN104603790B (en)
WO (1) WO2016112515A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104603790B (en) * 2015-01-15 2018-02-02 深圳市三木智能技术有限公司 The scan method and system of intelligent mobile terminal

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201282494Y (en) * 2008-09-19 2009-07-29 深圳华为通信技术有限公司 Mobile terminal with vena recognition function
CN202520091U (en) * 2012-02-15 2012-11-07 上海迪堡安防设备有限公司 Finger vein identification electronic coded lock

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101222330A (en) * 2007-01-09 2008-07-16 金宝电子工业股份有限公司 Control module group and method for identity authentication
JP5292821B2 (en) * 2008-01-16 2013-09-18 ソニー株式会社 Vein image acquisition device and vein image acquisition method
CN201349235Y (en) * 2008-12-22 2009-11-18 康佳集团股份有限公司 Mobile phone with venous recognition function
EP2704077A1 (en) * 2012-08-31 2014-03-05 Nxp B.V. Authentication system and authentication method
CN103646203A (en) * 2013-12-20 2014-03-19 中晟国计科技有限公司 Computer safety system with human body biological characteristic recognition
CN104603790B (en) * 2015-01-15 2018-02-02 深圳市三木智能技术有限公司 The scan method and system of intelligent mobile terminal

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201282494Y (en) * 2008-09-19 2009-07-29 深圳华为通信技术有限公司 Mobile terminal with vena recognition function
CN202520091U (en) * 2012-02-15 2012-11-07 上海迪堡安防设备有限公司 Finger vein identification electronic coded lock

Also Published As

Publication number Publication date
WO2016112515A1 (en) 2016-07-21
CN104603790A (en) 2015-05-06

Similar Documents

Publication Publication Date Title
US10643055B2 (en) Fingerprint recognition method and system capable of improving fingerprint recognition rate
CN102830931B (en) Method for checking notification information of smart terminal by shaking
CN102819721B (en) NFC (near field communication)-based information interaction method and device
WO2016061899A1 (en) Fingerprint decryption method and device
CN105160228A (en) Mobile terminal unlocking method and mobile terminal
CN106355141B (en) Portable electronic device and operation method thereof
CN107944247B (en) Unlocking control method and device and electronic equipment
CN101848276A (en) Method and system for locking and unlocking mobile phone screens
US20170255772A1 (en) Electronic device and a screen unlocking method thereof
CN104598792A (en) Terminal
CN104850774A (en) System and method for controlling computer locking and unlocking wirelessly
US20140230026A1 (en) Biometric-Based Access Control System Comprising a Near Field Communication Link
CN107454251B (en) Unlocking control method and related product
US20130260722A1 (en) Anti-theft system for mobile electronic device and method thereof
CN104407803A (en) Screen unlocking method and device based on handwriting recognition and electronic equipment
CN103324875A (en) Data protection system and method
WO2017185667A1 (en) Method and apparatus for controlling fingerprint sensor, and electronic device
US20170011209A1 (en) Electronic device and method for controlling access to same
CN103544422A (en) Intelligent screen display terminal with function of fingerprint identification
CN104603790B (en) The scan method and system of intelligent mobile terminal
CN106250730A (en) A kind of intelligent watch unlocking method and a device
WO2017185670A1 (en) Method and device for controlling fingerprint sensor, and electronic device
CN107545163A (en) Solve lock control method and Related product
CN106940764A (en) A kind of user authentication method and terminal device
CN107730263A (en) A kind of high safety fingerprint method of payment and system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information

Address after: 518000 Nanshan District Shenzhen software industry base, building A, block 5, level 503, level 505 and level 1702, No. 17, No. first

Applicant after: Shenzhen Miki Intelligent Technology Co., Ltd.

Address before: 518000 T2-A3_2, South District, Nanshan District hi tech Zone, Guangdong, Shenzhen

Applicant before: Shenzhen Sanmu Commutication Technology Co., Ltd.

CB02 Change of applicant information
GR01 Patent grant
GR01 Patent grant