CN109214310A - Improve the method and face identification system of recognition of face efficiency - Google Patents
Improve the method and face identification system of recognition of face efficiency Download PDFInfo
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- CN109214310A CN109214310A CN201810934526.5A CN201810934526A CN109214310A CN 109214310 A CN109214310 A CN 109214310A CN 201810934526 A CN201810934526 A CN 201810934526A CN 109214310 A CN109214310 A CN 109214310A
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
- G06V40/172—Classification, e.g. identification
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Abstract
The present invention relates to technical field of face recognition, and disclose the method and face identification system for improving recognition of face efficiency, including input module, human image collecting module, facial image processing module, portrait storage module, management control module, portrait contrast module and display module, the output end of the input module is connect with the input end signal of human image collecting module, the output end of the human image collecting module is connect with facial image processing module by signal, the facial image processing module is connect with the input end signal of portrait storage module, the output end of the facial image processing module is also connect with the input end signal of management control module, the management control module is connect with portrait contrast module signal, the portrait contrast module is connect with portrait storage module signal.The method and face identification system of recognition of face efficiency can be improved in this, and the multiple notable features that can be extracted in face are identified, so as to improve the efficiency of recognition of face.
Description
Technical field
The present invention relates to technical field of face recognition, the specially method of raising recognition of face efficiency and recognition of face system
System.
Background technique
Recognition of face is a kind of biological identification technology for carrying out identification based on facial feature information of people.With camera shooting
Machine or camera acquire image or video flowing containing face, and automatic detection and tracking face in the picture, and then to detection
To a series of the relevant technologies for being identified of face, usually also referred to as Identification of Images, face recognition.
In recent years, as in the method for face recognition technology technology, face recognition technology is used in multiple fields, particularly for
Register field in the face of company's working, but in the prior art, recognition of face be usually entire portrait is identified, thus
When people are when dressing up different, the efficiency of recognition of face is lower, and being easy, which influences portrait comparison, does not pass through, and causes to register unsuccessfully, no
Convenient for people's use, therefore propose to improve the method and face identification system of recognition of face efficiency.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides the method and face identification system that improve recognition of face efficiency, have
The advantages of recognition of face efficiency can be improved solves the problems, such as recognition of face low efficiency now on the market.
(2) technical solution
To realize the above-mentioned purpose that recognition of face efficiency can be improved, the invention provides the following technical scheme: improving recognition of face
The face identification system of efficiency, including input module, human image collecting module, facial image processing module, portrait storage module, management control
Molding block, portrait contrast module and display module, the output end of the input module and the input terminal of human image collecting module are believed
Number connection, the output end of the human image collecting module connect with facial image processing module by signal, the facial image processing module and portrait
The input end signal of storage module connects, the output end of the facial image processing module also with the input end signal of management control module
Connection, the management control module are connect with portrait contrast module signal, and the portrait contrast module and portrait storage module are believed
Number connection, the portrait contrast module also connect with display module signal；
The input module includes input keyboard, and the input module is to need to be implemented instruction for inputting；
The human image collecting module includes high-definition camera, and the acquisition module is stated for carrying out shooting, collecting to face, and will
The portrait of acquisition passes through data transmission to facial image processing module；
The facial image processing module includes high definition human face analysis instrument, and the portrait that the facial image processing modular is used to shoot carries out
Analysis processing, makes one as being more clear；
The portrait storage module includes storage hard disk, and the portrait storage module is that portrait stores by treated；
The management control module includes central processing unit, and the management control module is for will be after facial image processing resume module
Portrait the transmission of control data is carried out by central processing unit and executes order；
The portrait contrast module includes face comparative analysis cloud platform, and the portrait contrast module is used in will be after acquisition process
Portrait and storage module in portrait compare, analyze contrast；
The display module includes display screen, and the display module is for by the face comparative analysis in portrait contrast module
As a result it is shown.
Preferably, human face characteristic point extraction unit is additionally provided in the human image collecting module, Soviet Union's Sohu's face characteristic extracts
Unit is label to be extracted for the local notable feature to face, and the human image collecting module is realtime graphic acquisition,
The acquisition time is set as 0.2s-0.4s.
Preferably, the input module includes recognition of face mode and face registration mode, the recognition of face mode table
Progress human image collecting is compared with the portrait in storage module again after showing input recognition of face instruction, the face registration mode
Progress human image collecting is stored again after indicating input face registration instruction.
Preferably, the facial image processing module further includes displacement output unit, and the amount removed output unit is to be used for
Azimuth is carried out to the image of acquisition and displacement is marked, to obtain being more clear three-dimensional portrait.
Preferably, it is additionally provided with portrait in the portrait storage module and deletes unit, it is for inciting somebody to action that the portrait, which deletes unit,
Unwanted portrait is deleted.
Preferably, secret order unit is equipped in the portrait registration mode, the secret order unit is for entering portrait note
It needs to carry out Password Input confirmation when volume.
Preferably, the management control module includes signal transmission and receiving unit, and the signal transmits and receiving unit
It is that will acquire portrait and be converted into signal in systems to be transmitted and received.
Preferably, judging unit and alarm unit are equipped in the display module, the judging unit is for portrait
The result of comparison carries out judging whether that comparison passes through, and the alarm unit and judging unit are electrically connected, and the alarm unit is
For out-of-date alarming when judging that comparing result is obstructed.
The method for improving recognition of face efficiency:
Step 1: recognition of face instruction is inputted by input module and enters recognition of face mode；
Step 2: shooting, collecting is carried out to face by the high-definition camera in human image collecting module and is sent to image procossing mould
Block；
Step 3: azimuth is carried out by portrait of the facial image processing module to acquisition and displacement is marked, is made one as more
Clearly；
Step 4: identification is compared to the image in treated portrait and storage module by portrait contrast module；
Step 5: the result of comparison identification is shown by display module.
(3) beneficial effect
Compared with prior art, the present invention provides the method and face identification system that improve recognition of face efficiency, have following
The utility model has the advantages that
1, the method and face identification system that recognition of face efficiency can be improved input recognition of face instruction by input module
Into recognition of face mode, shooting, collecting is carried out to face by the high-definition camera in human image collecting module and is sent to image
Processing module carries out azimuth by portrait of the facial image processing module to acquisition and displacement is marked, makes one as more clear
It is clear, identification is compared to the image in treated portrait and storage module by portrait contrast module, passes through display module
The result of comparison identification is shown, is identified by the notable feature to portrait, so as to raising Identification of Images
Efficiency.
Detailed description of the invention
Fig. 1 is the method and face identification system configuration diagram proposed by the present invention for improving recognition of face efficiency.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, improving the face identification system of recognition of face efficiency, including input module, human image collecting module, people
As processing module, portrait storage module, management control module, portrait contrast module and display module, the output of input module
End is connect with the input end signal of human image collecting module, and the output end of human image collecting module is connect with facial image processing module by signal,
Facial image processing module is connect with the input end signal of portrait storage module, and the output end of facial image processing module also controls mould with management
The input end signal of block connects, and management control module is connect with portrait contrast module signal, and portrait contrast module and portrait store
Module by signal connection, portrait contrast module are also connect with display module signal；
Input module includes input keyboard, and input module is to need to be implemented instruction for inputting, and input module includes recognition of face
Mode and face registration mode, recognition of face mode indicate input recognition of face instruction after carry out human image collecting again with storage module
In portrait compare, face registration mode indicate input face registration instruction after carry out human image collecting stored again；
Human image collecting module includes high-definition camera, and acquisition module is stated for carrying out shooting, collecting to face, and by the people of acquisition
As to facial image processing module, human face characteristic point extraction unit is additionally provided in human image collecting module by data transmission, revive people from Sohu
Face feature extraction unit is label to be extracted for the local notable feature to face, and human image collecting module is realtime graphic
It obtains, acquisition time is set as 0.2s-0.4s, is equipped with secret order unit in portrait registration mode, secret order unit is for entering
Portrait needs to carry out Password Input confirmation when registering；
Facial image processing module includes high definition human face analysis instrument, and facial image processing modular is for carrying out the portrait of shooting at analysis
Reason makes one as being more clear, and facial image processing module further includes displacement output unit, and amount removed output unit is for acquisition
Image carry out azimuth and displacement and be marked, to obtain being more clear three-dimensional portrait；
Portrait storage module includes storage hard disk, and portrait storage module is that portrait stores by treated, and portrait stores mould
It is additionally provided with portrait in block and deletes unit, it is for deleting unwanted portrait that portrait, which deletes unit,；
Management control module includes central processing unit, and management control module is for leading to the portrait after facial image processing resume module
It crosses central processing unit to carry out the transmission of control data and execute order, management control module includes signal transmission and receiving unit, letter
Number transmission and receiving unit are will to acquire portrait and be converted into signal in systems to be transmitted and received；
Portrait contrast module includes face comparative analysis cloud platform, portrait contrast module be used in by after acquisition process portrait with
Portrait in storage module compares, and analyzes contrast；
Display module includes display screen, and display module is for carrying out the result of the face comparative analysis in portrait contrast module
It shows, judging unit and alarm unit is equipped in display module, judging unit is for judging the result that portrait compares
Whether comparison passes through, and alarm unit and judging unit are electrically connected, and alarm unit is to judge that comparing result is obstructed out-of-date for working as
It alarms.
The method for improving recognition of face efficiency:
Step 1: recognition of face instruction is inputted by input module and enters recognition of face mode；
Step 2: shooting, collecting is carried out to face by the high-definition camera in human image collecting module and is sent to image procossing mould
Block；
Step 3: azimuth is carried out by portrait of the facial image processing module to acquisition and displacement is marked, is made one as more
Clearly；
Step 4: identification is compared to the image in treated portrait and storage module by portrait contrast module；
Step 5: the result of comparison identification is shown by display module.
In conclusion the method and face identification system of recognition of face efficiency can be improved in this, in use, passing through input mould
Block inputs recognition of face instruction and enters recognition of face mode, is clapped by the high-definition camera in human image collecting module face
It takes the photograph and acquires and be sent to image processing module, azimuth is carried out by portrait of the facial image processing module to acquisition and displacement carries out
Label, makes one as being more clear, and is compared to treated portrait with the image in storage module by portrait contrast module
Identification is shown the result of comparison identification by display module.
It should be noted that the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (9)
1. improving the face identification system of recognition of face efficiency, it is characterised in that: including input module, human image collecting module, people
Picture processing module, portrait storage module, management control module, portrait contrast module and display module, the input module
Output end is connect with the input end signal of human image collecting module, and the output end and facial image processing module of the human image collecting module are believed
Number connection, the facial image processing module connect with the input end signal of portrait storage module, the output of the facial image processing module
End is also connect with the input end signal of management control module, and the management control module is connect with portrait contrast module signal, institute
It states portrait contrast module to connect with portrait storage module signal, the portrait contrast module is also connect with display module signal；
The input module includes input keyboard, and the input module is to need to be implemented instruction for inputting；
The human image collecting module includes high-definition camera, and the acquisition module is stated for carrying out shooting, collecting to face, and will
The portrait of acquisition passes through data transmission to facial image processing module；
The facial image processing module includes high definition human face analysis instrument, and the portrait that the facial image processing modular is used to shoot carries out
Analysis processing, makes one as being more clear；
The portrait storage module includes storage hard disk, and the portrait storage module is that portrait stores by treated；
The management control module includes central processing unit, and the management control module is for will be after facial image processing resume module
Portrait the transmission of control data is carried out by central processing unit and executes order；
The portrait contrast module includes face comparative analysis cloud platform, and the portrait contrast module is used in will be after acquisition process
Portrait and storage module in portrait compare, analyze contrast；
The display module includes display screen, and the display module is for by the face comparative analysis in portrait contrast module
As a result it is shown.
2. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: the portrait is adopted
Human face characteristic point extraction unit is additionally provided in collection module, Soviet Union's Sohu's face characteristic extraction unit is significant for the part to face
Feature extracts label, and the human image collecting module is realtime graphic acquisition, and the acquisition time is set as 0.2s-
0.4s。
3. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: the input mould
Block includes recognition of face mode and face registration mode, and the recognition of face mode indicates that input recognition of face instructs laggard pedestrian
It is compared again with the portrait in storage module as acquiring, the face registration mode carries out after indicating input face registration instruction
Human image collecting is stored again.
4. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: at the portrait
Managing module further includes displacement output unit, and the amount removed output unit is for carrying out azimuth and position to the image of acquisition
Shifting amount is marked, to obtain being more clear three-dimensional portrait.
5. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: the portrait storage
It is additionally provided with portrait in storing module and deletes unit, it is for deleting unwanted portrait that the portrait, which deletes unit,.
6. the face identification system according to claim 2 for improving recognition of face efficiency, it is characterised in that: the portrait note
Secret order unit is equipped in volume mode, the secret order unit is for needing to carry out Password Input confirmation when entering portrait registration.
7. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: the management control
Molding block includes signal transmission and receiving unit, and the signal transmission and receiving unit are will to acquire portrait to be converted into systems
Signal is transmitted and is received.
8. the face identification system according to claim 1 for improving recognition of face efficiency, it is characterised in that: the display mould
Judging unit and alarm unit are equipped in block, the judging unit is that the result for comparing to portrait carries out judging whether to compare
Pass through, the alarm unit and judging unit are electrically connected, and the alarm unit is to judge that comparing result is obstructed out-of-date for working as
It alarms.
9. the method for improving recognition of face efficiency, it is characterised in that:
Step 1: recognition of face instruction is inputted by input module and enters recognition of face mode；
Step 2: shooting, collecting is carried out to face by the high-definition camera in human image collecting module and is sent to image procossing mould
Block；
Step 3: azimuth is carried out by portrait of the facial image processing module to acquisition and displacement is marked, is made one as more
Clearly；
Step 4: identification is compared to the image in treated portrait and storage module by portrait contrast module；
Step 5: the result of comparison identification is shown by display module.
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Cited By (1)
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| CN113343001A (en) * | 2021-05-27 | 2021-09-03 | 武汉楚冠信息科技有限公司 | Data storage system of face recognition terminal |
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