CN110263636A - A kind of lossless person's handwriting restoring method and system - Google Patents
A kind of lossless person's handwriting restoring method and system Download PDFInfo
- Publication number
- CN110263636A CN110263636A CN201910400777.XA CN201910400777A CN110263636A CN 110263636 A CN110263636 A CN 110263636A CN 201910400777 A CN201910400777 A CN 201910400777A CN 110263636 A CN110263636 A CN 110263636A
- Authority
- CN
- China
- Prior art keywords
- point
- handwriting
- person
- derivative
- edge
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 230000035945 sensitivity Effects 0.000 claims abstract description 25
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 12
- 230000009466 transformation Effects 0.000 claims description 7
- 235000013350 formula milk Nutrition 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 241001442234 Cosa Species 0.000 claims description 2
- 244000089409 Erythrina poeppigiana Species 0.000 claims description 2
- 235000009776 Rathbunia alamosensis Nutrition 0.000 claims description 2
- 238000009499 grossing Methods 0.000 claims description 2
- 230000008901 benefit Effects 0.000 abstract description 2
- 238000004590 computer program Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 230000003321 amplification Effects 0.000 description 4
- 238000003199 nucleic acid amplification method Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 241000238097 Callinectes sapidus Species 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 235000015170 shellfish Nutrition 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
- G06V40/30—Writer recognition; Reading and verifying signatures
- G06V40/37—Writer recognition; Reading and verifying signatures based only on signature signals such as velocity or pressure, e.g. dynamic signature recognition
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Character Discrimination (AREA)
- Collating Specific Patterns (AREA)
Abstract
Technical solution of the present invention includes kind of a lossless person's handwriting restoring method and system; it is characterized in that; this method comprises: S10, is acquired the handwriting image data write based on writing device, wherein the image data acquired is the coordinate of collection point, pressure sensitivity coefficient and apart from the upper time；The data of each stroke in handwriting image data are grouped by S20；S30, coordinate data and pressure sensitivity coefficient based on each stroke collection point calculate the derivative point of corresponding first edge and the derivative point of second edge, and the derivative point in each group of multiple edges is attached, and generate person's handwriting file；S40 is handled using Bezier algorithm by point is derived per two adjacent edges in person's handwriting file, obtains final person's handwriting.The invention has the benefit that the person's handwriting for improving accuracy rate and generation that person's handwriting identifies is more life-like.
Description
Technical field
The present invention relates to a kind of lossless person's handwriting restoring method and systems, belong to computer field.
Background technique
At present in service industries such as bank, telecommunications, with no paper handle affairs has become normality, needs the ground of handwritten signature in the past
Side is required to become electronic handwritten signature.Due to naturally write when, stroke dynamics, writing fluency, influence
To the validity of signature writing.Therefore, in no paper working, need a kind of algorithm that can accurately restore true person's handwriting, and
Can accomplish amplification and it is undistorted, to carry out Detail contrast.Way more common at present was write by intensive acquisition
The point that the vigour of style in writing passes through in journey, records each coordinate position and pressure sensitivity coefficient in stroke, is with the coordinate of each point when reduction
The center of circle, pressure sensitivity coefficient are radius/diameter, form dot not of uniform size, polymerize to form upper visual lines by dot.It is logical
The person's handwriting that the mode of such " You Dianju line " is formed is crossed, after amplifying certain multiple, the details of lines, especially lines are turned round
Place, letter lapping defect mark can obviously occurs, lead to lines localized distortion.And the person's handwriting intensive for signature lines, dot concentration cause
Lines are difficult to differentiate between.
Summary of the invention
The present invention provides a kind of lossless person's handwriting restoring method and systems, for solving the deficiencies in the prior art.
Technical solution of the present invention includes a kind of lossless person's handwriting restoring method, which is characterized in that this method comprises: S10, right
The handwriting image data write based on writing device are acquired, wherein the image data acquired is the coordinate of collection point, pressure sensitivity
Coefficient and apart from the upper time；The data of each stroke in handwriting image data are grouped by S20；S30 is based on
The coordinate data and pressure sensitivity coefficient of each stroke collection point calculate the derivative point of corresponding first edge and the derivative point of second edge, raw
At person's handwriting file；S40 is handled using Bezier algorithm by point is derived per two adjacent edges in person's handwriting file, is obtained
Final person's handwriting.
According to the lossless person's handwriting restoring method, S10 therein is specifically included: being filled using the writing for having acquisition function
Being acquired for the handwriting image data of acquisition user's input is set, collection point includes abscissa, ordinate and pressure sensitivity data；To pen
Mark image data, which carries out retouching side, is depicted as stroke image.
According to the lossless person's handwriting restoring method, stroke image therein is SVG polar plot.
According to the lossless person's handwriting restoring method, S20 therein is specifically included: based on apart from the upper time will even
Continuous collection point is more than preset time as then starting as new stroke as a complete stroke, further will company
Continuous collection point is as one group of data.
According to the lossless person's handwriting restoring method, S30 therein includes: the coordinate data and pressure according to the collection point that is connected
Sense coefficient calculates the derivative point of first edge and the derivative point of second edge of the collection point, specifically includes: S31 and is connected according to any
Two collection point (x1,y1) and (x2,y2), calculate two collection points formation straight line and abscissa angle a sin value and
Cos value；S32, with (x1,y1) it is used as starting point, with (x2,y2) it is used as terminal, according to the sin value of straight line and abscissa angle a, cos
Value and pressure sensitivity coefficient, calculate length of rotation r, further execute inverse time and 90 ° of up time rotations respectively, obtain corresponding first
The derivative point in edge and the derivative point of second edge；S33 carries out the derivative point of the first edge of each collection point of same group of stroke suitable
Sequence label, the marginal point that another mistake sequence marks the derivative point of the second edge of each collection point to form a complete stroke mark.
According to the lossless person's handwriting restoring method, S31 therein is specifically included: with the distance of axis of ordinates divided by two o'clock
Distance, obtain the sin value of a, calculation is sina=(y2-y1)/R；With the distance of axis of abscissas divided by two o'clock away from
From obtaining the cos value of a, calculation is cosa=(x2-x1)/R。
According to the lossless person's handwriting restoring method, S32 therein includes: by left side transformation to the derivative point of first edge
And the derivative point of second edge is calculated, and by coordinate geometry transformation for mula, is rotated by 90 ° counterclockwise, is calculated first edge
Derivative point (x1A,y1A)x1A=x1-rsin (a-90)=x1+rcosa, y1A=y1-rcos (a-90)=y1-rsina；Pass through
Coordinate geometry transformation for mula rotates clockwise 90 degree, calculates the derivative point (x1 in second edgeB,y1B), x1A=x1-rsin
(a-90)=x1+rcosa, y1A=y1-rcos (a-90)=y1-rsina.
According to the lossless person's handwriting restoring method, S40 therein includes: that point derivative to first edge and second edge are spread out
Raw point is handled using Bezier algorithm, and the collection point including being connected to each collection point calculates the control of Bezier
It is processed, the Bezier after optimization is generated according to control point.
It according to the lossless person's handwriting restoring method, calculates Bezier control point and specifically includes: calculating the first control
Point, specifically: PA (n) _ x=x (n)+(x (n+1)-x (n-1)) * 0.15, PA (n) _ y=y (n)+(y (n+1)-y (n-1)) *
0.15, wherein 0.15 is smoothing factor；The second control point is calculated, specifically: pB (n) _ x=x (n+1)-(x (n+2)-x (n)) *
0.15, pB (n) _ y=y (n+1)+(y (n+2)-y (n)) * 0.15；It is generated according to the first obtained control point and the second control point
The match Bell curve of each collection point completes the optimization to each stroke.
Numerical procedure of the invention further includes a kind of lossless person's handwriting also original system of above-mentioned any the method, and feature exists
In the system includes: stroke acquisition module, and the handwriting image data for being write by writing device are acquired, wherein adopting
The image data integrated is as the coordinate of collection point, pressure sensitivity coefficient and apart from the upper time；Stroke groupings module is used for person's handwriting
The data of each stroke in image data are grouped；Derivative point computing module, for the seat based on each stroke collection point
It marks data and pressure sensitivity coefficient calculates the derivative point of corresponding first edge and the derivative point of second edge, and each group of multiple edges are spread out
Raw point is attached, and generates person's handwriting file；Optimization module, by derivative point uses shellfish plug per two adjacent edges in person's handwriting file
You are handled algorithm, and final person's handwriting is obtained.
The invention has the benefit that the person's handwriting for improving accuracy rate and generation that person's handwriting identifies is more life-like, natural
And amplify undistorted.
Detailed description of the invention
Fig. 1 show the overview flow chart of embodiment according to the present invention；
Fig. 2 show the system block diagram of embodiment according to the present invention；
Fig. 3 a, 3b, 3c show the person's handwriting also original image of embodiment according to the present invention；
It is respectively the handwriting signature figure and position enlarged drawing of embodiment according to the present invention shown in Fig. 4 a, 4b.
Specific embodiment
It is carried out below with reference to technical effect of the embodiment and attached drawing to design of the invention, specific structure and generation clear
Chu, complete description, to be completely understood by the purpose of the present invention, scheme and effect.
It should be noted that unless otherwise specified, when a certain feature referred to as " fixation ", " connection " are in another feature,
It can directly fix, be connected to another feature, and can also fix, be connected to another feature indirectly.In addition, this
The descriptions such as the upper and lower, left and right used in open are only the mutual alignment pass relative to each component part of the disclosure in attached drawing
For system.The "an" of used singular, " described " and "the" are also intended to including most forms in the disclosure, are removed
Non- context clearly expresses other meaning.In addition, unless otherwise defined, all technical and scientific terms used herein
It is identical as the normally understood meaning of those skilled in the art.Term used in the description is intended merely to describe herein
Specific embodiment is not intended to be limiting of the invention.Term as used herein "and/or" includes one or more relevant
The arbitrary combination of listed item.
It will be appreciated that though various elements, but this may be described using term first, second, third, etc. in the disclosure
A little elements should not necessarily be limited by these terms.These terms are only used to for same type of element being distinguished from each other out.For example, not departing from
In the case where disclosure range, first element can also be referred to as second element, and similarly, second element can also be referred to as
One element.The use of provided in this article any and all example or exemplary language (" such as ", " such as ") is intended merely to more
Illustrate the embodiment of the present invention well, and unless the context requires otherwise, otherwise the scope of the present invention will not be applied and be limited.
Fig. 1 show the overview flow chart of embodiment according to the present invention.S10, to the person's handwriting write based on writing device
Image data is acquired, wherein the image data acquired is the coordinate of collection point, pressure sensitivity coefficient and apart from the upper time；
The data of each stroke in handwriting image data are grouped by S20；S30, the coordinate data based on each stroke collection point
And pressure sensitivity coefficient calculates the derivative point of corresponding first edge and the derivative point of second edge, and each group of multiple edges are derived and are clicked through
Row connection, generates person's handwriting file；S40 is carried out point is derived per two adjacent edges in person's handwriting file using Bezier algorithm
Processing, obtains final person's handwriting.
Fig. 2 show the system block diagram of embodiment according to the present invention.The system includes: stroke acquisition module, for leading to
The handwriting image data for crossing writing device writing are acquired, wherein the image data acquired is the coordinate of collection point, pressure sensitivity system
It counts and apart from the upper time；Stroke groupings module, for being divided the data of each stroke in handwriting image data
Group；A derivative point computing module, for based on each stroke collection point coordinate data and pressure sensitivity coefficient calculate corresponding first side
The derivative point of edge and the derivative point of second edge, and the derivative point in each group of multiple edges is attached, generate person's handwriting file；Optimize mould
Block is handled using Bezier algorithm by point is derived per two adjacent edges in person's handwriting file, obtains final person's handwriting.
Fig. 3 a, 3b, 3c show the person's handwriting also original image of embodiment according to the present invention.
The data with pressure sensitivity of one group of handwriting pad acquisition are seen first:
166.8158,71.54401,0.049804688,0；
166.69043,71.54401,0.14550781,5；
166.43958,71.54401,0.19824219,4；
166.06342,71.54401,0.23046875,5；
165.6872,71.54401,0.25,4；
......
......
Each row of data group includes 4 data, respectively collection point above
X, y, pressure sensitivity coefficient, apart from the upper time
It is now to generate handwriting image according to above-mentioned collection point.
The characteristics of svg polar plot is that amplification is undistorted, and in order to reach effect, the handwriting image of generation is needed using " retouching side "
It draws, i.e., by the thickness write, describes the profile of stroke, such as the stroke image of the following figure:
With reference to Fig. 3 a, in order to reach this effect, need to handle acquisition data.It first has to be grouped stroke,
Using a continuous point as a complete stroke, the 4th value of every group of data is paid attention to: apart from upper time, Wo Menke
With apart from it is upper be more than 90, it is believed that be new one beginning, it is established that a stroke array.For in each stroke
Point, calculate two marginal points that the point is derived.
Black color dots are collection point, and lines are according to third data --- the length that pressure sensitivity coefficient calculates, Grey Point
As it is derived marginal point.
The straight line and x coordinate axis of the formation of two o'clock can be calculated according to two collection points x1, y1, x2, y2 with reference to Fig. 3 b
The sin value and cos value of angle a:
With the distance of y-coordinate axis divided by the distance of two o'clock, the sine value of a is obtained
Sin a=(y2-y1)/R
With the distance of x coordinate axis divided by two o'clock distance, the cosine value of a is obtained
Cos a=(x2-x1)/R
And derivative two Bluepoints be pressure sensitivity can be calculated length r with being starting point length with x1, y1 in two-point defined line
It is rotated by 90 ° and obtains between the suitable respectively, inverse time, following Fig. 3 c:
Then, two derivative points are (note that in y-axis direction and figure in computer rectangular coordinate system be opposite):
It by coordinate geometry transformation for mula, is rotated by 90 ° counterclockwise, it is derivative point (x1, y1) to calculate first edge
X1_a=x1-rsin (a-90)=x1+rcos a
Y1_a=y1-rcos (a-90)=y1-rsin a
By coordinate geometry transformation for mula, 90 degree are rotated clockwise, it is derivative point (x1, y1) to calculate second edge
X1_b=x1-rsin (a+90)=x1-rcos a
Y1_b=y1-rcos (a+90)=y1+rsin a
Then the sequence of same group of stroke derivative point 1 has been connected, another mistake sequence has connected derivative point 2, formed following svg
< path d=" M x1_a y1_a L x2_a y2_a...L xn_a yn_a L xn_b yn_b...L x2_b
Y2_b Lx1_b y1_b Z " style=" stroke-width:1px；"/>
The person's handwriting generated above, point use straight line with point and connect, and after amplification, the person's handwriting edge that image is shown can seem
It is more stiff, not enough smoothly.Therefore, we are improved in the marginal point of generation using Bezier algorithm.For every two
A, the adjacent two o'clock for being required to front and back endpoint calculates the control point of Bezier:
Control point 1pA (n) _ x=x (n)+(x (n+1)-x (n-1)) * 0.15 0.15 be test out Bezier compared with
For smooth coefficient
PA (n) _ y=y (n)+(y (n+1)-y (n-1)) * 0.15
Control point 2:pB (n) _ x=x (n+1)-(x (n+2)-x (n)) * 0.15
PB (n) _ y=y (n+1)-(y (n+2)-y (n)) * 0.15
After obtaining control point, related Bezier can be formed:
<path M x1_a y1_a C pA(2)_x pA(2)_y pB(2)_x pB(2)_y x2_a y2_a….style
=" stroke-width:1px；"/>
After being improved by Bezier algorithm, person's handwriting curve magnification back edge is smoothly natural.
It is respectively the handwriting signature figure and position enlarged drawing of embodiment according to the present invention shown in Fig. 4 a, 4b.Fig. 4 a is to calculate
The handwriting signature that method generates, Fig. 4 b are the amplified person's handwriting in part, and amplification is without the distortion such as fuzzy, sawtooth.
It should be appreciated that the embodiment of the present invention can be by computer hardware, the combination of hardware and software or by depositing
The computer instruction in non-transitory computer-readable memory is stored up to be effected or carried out.Standard volume can be used in the method
Journey technology-includes that the non-transitory computer-readable storage media configured with computer program is realized in computer program,
In configured in this way storage medium computer is operated in a manner of specific and is predefined --- according in a particular embodiment
The method and attached drawing of description.Each program can with the programming language of level process or object-oriented come realize with department of computer science
System communication.However, if desired, the program can be realized with compilation or machine language.Under any circumstance, which can be volume
The language translated or explained.In addition, the program can be run on the specific integrated circuit of programming for this purpose.
In addition, the operation of process described herein can be performed in any suitable order, unless herein in addition instruction or
Otherwise significantly with contradicted by context.Process described herein (or modification and/or combination thereof) can be held being configured with
It executes, and is can be used as jointly on the one or more processors under the control of one or more computer systems of row instruction
The code (for example, executable instruction, one or more computer program or one or more application) of execution, by hardware or its group
It closes to realize.The computer program includes the multiple instruction that can be performed by one or more processors.
Further, the method can be realized in being operably coupled to suitable any kind of computing platform, wrap
Include but be not limited to PC, mini-computer, main frame, work station, network or distributed computing environment, individual or integrated
Computer platform or communicated with charged particle tool or other imaging devices etc..Each aspect of the present invention can be to deposit
The machine readable code on non-transitory storage medium or equipment is stored up to realize no matter be moveable or be integrated to calculating
Platform, such as hard disk, optical reading and/or write-in storage medium, RAM, ROM, so that it can be read by programmable calculator, when
Storage medium or equipment can be used for configuration and operation computer to execute process described herein when being read by computer.This
Outside, machine readable code, or part thereof can be transmitted by wired or wireless network.When such media include combining microprocessor
Or other data processors realize steps described above instruction or program when, invention as described herein including these and other not
The non-transitory computer-readable storage media of same type.When methods and techniques according to the present invention programming, the present invention
It further include computer itself.
Computer program can be applied to input data to execute function as described herein, to convert input data with life
At storing to the output data of nonvolatile memory.Output information can also be applied to one or more output equipments as shown
Device.In the preferred embodiment of the invention, the data of conversion indicate physics and tangible object, including the object generated on display
Reason and the particular visual of physical objects are described.
The above, only presently preferred embodiments of the present invention, the invention is not limited to above embodiment, as long as
It reaches technical effect of the invention with identical means, all within the spirits and principles of the present invention, any modification for being made,
Equivalent replacement, improvement etc., should be included within the scope of the present invention.Its technical solution within the scope of the present invention
And/or embodiment can have a variety of different modifications and variations.
Claims (10)
1. a kind of lossless person's handwriting restoring method, which is characterized in that this method comprises:
S10 is acquired the handwriting image data write based on writing device, wherein the image data acquired is collection point
Coordinate, pressure sensitivity coefficient and apart from the upper time；
The data of each stroke in handwriting image data are grouped by S20；
S30, coordinate data and pressure sensitivity coefficient based on each stroke collection point calculate the derivative point of corresponding first edge and second
Edge derives point, and the derivative point in each group of multiple edges is attached, and generates person's handwriting file；
S40 is handled using Bezier algorithm by point is derived per two adjacent edges in person's handwriting file, obtains final pen
Mark.
2. lossless person's handwriting restoring method according to claim 1, which is characterized in that the S10 is specifically included:
The handwriting image data inputted using the writing device acquisition user for having acquisition function are acquired, and collection point includes
Abscissa, ordinate and pressure sensitivity data；
Image data of identifying the handwriting, which carries out retouching side, is depicted as stroke image.
3. lossless person's handwriting restoring method according to claim 2, which is characterized in that the stroke image is SVG polar plot.
4. lossless person's handwriting restoring method according to claim 1, which is characterized in that the S20 is specifically included:
Based on apart from the upper time using continuous collection point as a complete stroke, and be more than preset time conduct then
Start as new stroke, further using continuous collection point as one group of data.
5. lossless person's handwriting restoring method according to claim 1, which is characterized in that the S30 includes:
The derivative point of first edge and second edge for calculating the collection point according to the coordinate data of connected collection point and pressure sensitivity coefficient
Derivative point, specifically includes:
S31, according to two arbitrarily connected collection point (x1,y1) and (x2,y2), calculate the straight line and seat of the formation of two collection points
The sin value and cos value of parameter x angle a；
S32, with (x1,y1) it is used as starting point, with (x2,y2) it is used as terminal, according to sin value, the cos value of straight line and abscissa angle a,
Using default thickness value multiplied by pressure sensitivity coefficient as radius of turn r, the inverse time is further executed respectively and 90 ° of up time rotate, obtain pair
The derivative point of the first edge answered and the derivative point of second edge；
The derivative point of the first edge of each collection point of same group of stroke is linked in sequence by S33, and the connection of another mistake sequence is each adopted
The derivative point of the second edge of collection point forms the SVG of a complete stroke.
6. lossless person's handwriting restoring method according to claim 5, which is characterized in that the S31 is specifically included:
With the distance of reference axis y divided by the distance of two o'clock, the sin value of a is obtained, calculation is sina=(y2-y1)/R；
With the distance of reference axis x divided by the distance of two o'clock, the cos value of a is obtained, calculation is cosa=(x2-x1)/R。
7. lossless person's handwriting restoring method according to claim 5, which is characterized in that the S32 includes:
It is calculated, is converted by coordinate geometry public by left side transformation point derivative to first edge and the derivative point of second edge
Formula is rotated by 90 ° counterclockwise, calculates the derivative point (x1 in first edgeA,y1A)
x1A=x1-rsin (a-90)=x1+rcosa,
y1A=y1-rcos (a-90)=y1-rsina；
By coordinate geometry transformation for mula, 90 degree are rotated clockwise, calculates the derivative point (x1 in second edgeB,y1B)
x1A=x1-rsin (a-90)=x1+rcosa,
y1A=y1-rcos (a-90)=y1-rsina.
8. lossless person's handwriting restoring method according to claim 1, which is characterized in that the S40 includes:
Point derivative to first edge and the derivative point of second edge are handled using Bezier algorithm, including to each acquisition
The connected collection point of point calculates the control point of Bezier, generates the Bezier after optimization according to control point.
9. lossless person's handwriting restoring method according to claim 8, which is characterized in that it is specific to calculate Bezier control point
Include:
The first control point is calculated, specifically:
PA (n) _ x=x (n)+(x (n+1)-x (n-1)) * 0.15,
PA (n) _ y=y (n)+(y (n+1)-y (n-1)) * 0.15, wherein 0.15 is smoothing factor；
The second control point is calculated, specifically:
PB (n) _ x=x (n+1)-(x (n+2)-x (n)) * 0.15,
PB (n) _ y=y (n+1)+(y (n+2)-y (n)) * 0.15；
The match Bell curve of each collection point is generated according to obtained the first control point and the second control point, is completed to each stroke
Optimization.
10. a kind of lossless person's handwriting also original system of -9 any the methods according to claim 1, which is characterized in that the system packet
It includes:
Stroke acquisition module, the handwriting image data for being write by writing device are acquired, wherein the picture number acquired
According to coordinate, the pressure sensitivity coefficient and apart from the upper time for collection point；
Stroke groupings module, for being grouped the data of each stroke in handwriting image data；
A derivative point computing module, for based on each stroke collection point coordinate data and pressure sensitivity coefficient calculate corresponding first side
The derivative point of edge and the derivative point of second edge are generated comprising the derivative point person's handwriting file in all edges；
Optimization module is handled using Bezier algorithm by point is derived per two adjacent edges in person's handwriting file, and described
For SVG, final lossless person's handwriting is obtained.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910400777.XA CN110263636A (en) | 2019-05-15 | 2019-05-15 | A kind of lossless person's handwriting restoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910400777.XA CN110263636A (en) | 2019-05-15 | 2019-05-15 | A kind of lossless person's handwriting restoring method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110263636A true CN110263636A (en) | 2019-09-20 |
Family
ID=67913142
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910400777.XA Pending CN110263636A (en) | 2019-05-15 | 2019-05-15 | A kind of lossless person's handwriting restoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110263636A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078073A (en) * | 2019-12-17 | 2020-04-28 | 科大讯飞股份有限公司 | Handwriting amplification method and related device |
| CN111223165A (en) * | 2020-01-03 | 2020-06-02 | 福建升腾资讯有限公司 | Method, device and equipment for generating saw-free signature picture |
| CN113362418A (en) * | 2021-04-23 | 2021-09-07 | 江苏小牛电子科技有限公司 | Curve smoothing method, system, equipment and storage medium based on Bezier curve |
| CN113592970A (en) * | 2021-07-28 | 2021-11-02 | 网易（杭州）网络有限公司 | Hair styling generation method and device, electronic device and storage medium |
| CN113760432A (en) * | 2021-08-30 | 2021-12-07 | 浙江万朋教育科技股份有限公司 | Graffiti method for restoring handwriting based on H5Canvas |
| CN113934395A (en) * | 2021-10-19 | 2022-01-14 | 河北师达教育科技有限公司 | Method and device for synchronously displaying scripts in display screen and terminal equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102103761A (en) * | 2011-01-31 | 2011-06-22 | 周佳 | Method for realizing original handwriting |
| CN103310474A (en) * | 2013-06-08 | 2013-09-18 | 深圳市经纬科技有限公司 | Method and system for implementing original handwriting |
| US20130308863A1 (en) * | 2011-01-31 | 2013-11-21 | Xueping Zou | Method and device for implementing original handwriting, and electronic device |
| US20140055428A1 (en) * | 2011-01-20 | 2014-02-27 | Xueping Zou | Method and device for implemeting original calligraphy of handwriting |
| CN104063705A (en) * | 2014-06-05 | 2014-09-24 | 北京捷通华声语音技术有限公司 | Handwriting feature extracting method and device |
| CN107798717A (en) * | 2017-09-13 | 2018-03-13 | 深圳市创易联合科技有限公司 | Electronic brush writing method, device, computer equipment and storage medium |
| CN109284059A (en) * | 2018-08-28 | 2019-01-29 | 广州视源电子科技股份有限公司 | Handwriting drawing method and device, interactive intelligent panel and storage medium |
-
2019
- 2019-05-15 CN CN201910400777.XA patent/CN110263636A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140055428A1 (en) * | 2011-01-20 | 2014-02-27 | Xueping Zou | Method and device for implemeting original calligraphy of handwriting |
| CN102103761A (en) * | 2011-01-31 | 2011-06-22 | 周佳 | Method for realizing original handwriting |
| US20130308863A1 (en) * | 2011-01-31 | 2013-11-21 | Xueping Zou | Method and device for implementing original handwriting, and electronic device |
| CN103310474A (en) * | 2013-06-08 | 2013-09-18 | 深圳市经纬科技有限公司 | Method and system for implementing original handwriting |
| CN104063705A (en) * | 2014-06-05 | 2014-09-24 | 北京捷通华声语音技术有限公司 | Handwriting feature extracting method and device |
| CN107798717A (en) * | 2017-09-13 | 2018-03-13 | 深圳市创易联合科技有限公司 | Electronic brush writing method, device, computer equipment and storage medium |
| CN109284059A (en) * | 2018-08-28 | 2019-01-29 | 广州视源电子科技股份有限公司 | Handwriting drawing method and device, interactive intelligent panel and storage medium |
Non-Patent Citations (4)
| Title |
|---|
| 99问答网: "C++程序计算一条线段中垂线上距离该线段中点固定位置的点的坐标", 《HTTPS://99.WENDADAOHANG.COM/C/0487692170319539014.HTML》 * |
| NFCM055: "贝塞尔曲线控制点确定的方法", 《HTTPS://WWW.DOCIN.COM/P-1199141322.HTML》 * |
| 周宏博: "联机手写汉字识别算法及其系统实现", 《沈阳工业学院学报》 * |
| 李磊: "《嵌入式系统与云计算开发 基于Android系统的实验案例基础教程》", 30 September 2018, 北京航空航天大学出版社 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111078073A (en) * | 2019-12-17 | 2020-04-28 | 科大讯飞股份有限公司 | Handwriting amplification method and related device |
| CN111223165A (en) * | 2020-01-03 | 2020-06-02 | 福建升腾资讯有限公司 | Method, device and equipment for generating saw-free signature picture |
| CN113362418A (en) * | 2021-04-23 | 2021-09-07 | 江苏小牛电子科技有限公司 | Curve smoothing method, system, equipment and storage medium based on Bezier curve |
| CN113592970A (en) * | 2021-07-28 | 2021-11-02 | 网易（杭州）网络有限公司 | Hair styling generation method and device, electronic device and storage medium |
| CN113592970B (en) * | 2021-07-28 | 2024-04-12 | 网易（杭州）网络有限公司 | Method and device for generating hair styling, electronic equipment and storage medium |
| CN113760432A (en) * | 2021-08-30 | 2021-12-07 | 浙江万朋教育科技股份有限公司 | Graffiti method for restoring handwriting based on H5Canvas |
| CN113934395A (en) * | 2021-10-19 | 2022-01-14 | 河北师达教育科技有限公司 | Method and device for synchronously displaying scripts in display screen and terminal equipment |
| CN113934395B (en) * | 2021-10-19 | 2024-01-26 | 河北师达教育科技有限公司 | Method, device and terminal equipment for synchronously displaying books in display screen |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110263636A (en) | A kind of lossless person's handwriting restoring method and system | |
| CN105631447B (en) | A kind of method of text in identification circular official seal | |
| US9870352B2 (en) | Creating a dashboard for tracking a workflow process involving handwritten forms | |
| CN108229299A (en) | The recognition methods of certificate and device, electronic equipment, computer storage media | |
| EP3127317A1 (en) | Method and device for optical character recognition on accounting documents | |
| CN107908612A (en) | Answering card generation method, answer card identification method, operating system | |
| CN101159064A (en) | Image generation system and method for generating image | |
| US9519734B2 (en) | Systems and methods for improved property inspection management | |
| CN111142770B (en) | Method and processing device for generating strokes | |
| US20140233837A1 (en) | Systems and methods for storing image properties for recreating an image | |
| CN105511791A (en) | Handwriting processing method and device for electronic test and quality control record chart | |
| JP5108019B2 (en) | Projection apparatus and projection method for projecting a two-dimensional motif onto a complex surface of a three-dimensional object | |
| US10032325B1 (en) | Formatted card signature generator | |
| US20140233835A1 (en) | Systems and methods for recreating an image using white space and check element capture | |
| CN101105788A (en) | Document management system and document management method | |
| CN110490181A (en) | A kind of list based on OCR identification technology fills in checking method, device, equipment and computer storage medium | |
| CN104091386A (en) | Method and system for bank business flow based on computers and big data | |
| CN110135218A (en) | The method, apparatus, equipment and computer storage medium of image for identification | |
| CN107516292A (en) | Image correction method, device, equipment and computer readable storage medium | |
| CN104951811B (en) | Row style line recognition methods and device applied to brush writing | |
| CN110889262B (en) | Teaching system and dot matrix teaching courseware | |
| CN112396057B (en) | Character recognition method and device and electronic equipment | |
| CN109492450A (en) | A kind of bar code localization method based on printed page analysis | |
| CN107133889A (en) | Judicial self-service device, system and method | |
| US11087078B2 (en) | System and method for real time digitization of hand written input data |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190920 |