CN100464346C - Digital correction method for geometric distortion of form image - Google Patents

Digital correction method for geometric distortion of form image Download PDF

Info

Publication number
CN100464346C
CN100464346C CNB200610078993XA CN200610078993A CN100464346C CN 100464346 C CN100464346 C CN 100464346C CN B200610078993X A CNB200610078993X A CN B200610078993XA CN 200610078993 A CN200610078993 A CN 200610078993A CN 100464346 C CN100464346 C CN 100464346C
Authority
CN
China
Prior art keywords
form line
territory
line segment
effective
ruling
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.)
Expired - Fee Related
Application number
CNB200610078993XA
Other languages
Chinese (zh)
Other versions
CN101064007A (en
Inventor
刘芝
康凯
杜鹏飞
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.)
BEIDA FANGZHENG TECHN INST Co Ltd BEIJING
Peking University
Peking University Founder Group Co Ltd
Original Assignee
BEIDA FANGZHENG TECHN INST Co Ltd BEIJING
Peking University
Peking University Founder Group 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 BEIDA FANGZHENG TECHN INST Co Ltd BEIJING, Peking University, Peking University Founder Group Co Ltd filed Critical BEIDA FANGZHENG TECHN INST Co Ltd BEIJING
Priority to CNB200610078993XA priority Critical patent/CN100464346C/en
Publication of CN101064007A publication Critical patent/CN101064007A/en
Application granted granted Critical
Publication of CN100464346C publication Critical patent/CN100464346C/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

This invention relates to one computer information field image process technique and to one digital correction method of geometry deformation of image, which comprises the following steps: analyzing the form images and researching and analyzing effective form line sections on the two bits images to get the sample form line to the list; analyzing and analogy form line to map to aim position for good correction to drive form inside font by sample form.

Description

A kind of less digit correction method of form piecture geometry fault
Technical field
The present invention relates to the image processing techniques in computerized information field, particularly a kind of method of form image rectification to distortion.
Background technology
The correction of distortion form is a kind of very useful image processing techniques, and two class bearing calibrations are generally arranged: a class is by analyzing table images, draws the form angle of inclination, proofreaies and correct according to the angle of inclination; Another kind of is analyzing table images, obtains the also form line of match distortion, the form line of distortion is proofreaied and correct to be straight line then.
For last class, general way is by certain method, obtains the angle of inclination of form line on image, as the foundation of proofreading and correct, obtain the angle α of form line and horizontal linear such as analysis,, thereby proofread and correct then according to the side-play amount of every bit on the tan α reckoner ruling.As document " based on the fast detecting and the correction of the nauropemeter table images of the distance of swimming " [author Guan Jibin, pleasant virtue is strong, Central China University of Science and Technology's journal, the article numbering is: 1671.4512 (2005) 08-0069].
For back one class, because to the form of nonspecific distortion, only to proofread and correct difficulty very big by analyzing the form angle of inclination, so the feature that needs to analyze the form distortion is carried out post-processed.
For with form manuscript scanning for for the image, its purpose is to be used for file maintenance, literal identification occasions such as (OCR) mostly.In the utilization of OCR, the manuscript or the books that have launched during for scanning just tilt because of placing the form that is not just causing, do not express owing to can not change the straight line of form, therefore can use first kind method to solve; The manuscript or the books that do not have expansion during for scanning, the image that the image that digital camera is taken and other approach obtain very likely can change the original straight line of form and express, and can solve this class problem with second class methods.
In the utilization of OCR, the distortion of table area not only has influence on attractive in appearance, more can have a strong impact on the accuracy of the Flame Image Process such as capable cutting of literal in form identification, the form, even these operations can't be carried out, substantially can't discern as the form that bending is serious, let alone and separate its inner literal and discern these literal.Therefore the quality of form correction mass not only has influence on the subjective quality evaluation of form, also can directly have influence on the link to the form subsequent treatment.In addition,, therefore in OCR, not only form is proofreaied and correct and also will be proofreaied and correct simultaneously, avoid influencing identification table content to table content owing to form and table content in the OCR utilization all need identification.
The source of tabular drawing picture is modal two classes: manuscript is scanned or first-class in the manuscript acquisition of taking pictures by digital camera, shooting mobile phone, shooting by scanner.When scanning, after manuscript is taken apart or flattened, scan again, generally can avoid image to produce distortion with scanner.But in actual mechanical process, its distortion is difficult to avoid, and the form of its distortion is more complex, may be very serious such as the degree of bending.Bending does not occur over just books, in other zone yet ubiquity; Crooked direction is not to have only protruding or have only the concavity bending, but presents the alternate bending of many places convex-concave in same line of text; Distortion may present radioactivity, malalignment.Upper area as Fig. 2 is convex curvature, and the bottom is the concavity bending.These phenomenons can cause analyzing in the prior art method complete failure of form: (1) lets alone and has looked for the angle of inclination because the form line not linearly, is difficult to find form straight line accurately.(2) because searching form straight line is inaccurate, then is difficult to determine the position of table content, and then can't carries out the identification of table content.
As seen, prior art has only the plain text distorted image correction, and his-and-hers watches table images distortion can't be proofreaied and correct, and that prior art has only been handled is carefully and neatly done, degree of crook is slight or the simple tabular drawing picture that tilts, and can't handle the serious tabular drawing picture of degree of crook.
Summary of the invention
In order to overcome above-mentioned defective, the objective of the invention is to propose the method that a kind of tabular drawing to geometric distortion looks like to carry out figure adjustment, promptly utilize the sampling table ruling to proofread and correct the drive table content and proofread and correct.
For achieving the above object, the less digit correction method of a kind of form piecture geometry fault of the present invention may further comprise the steps:
(1) the his-and-hers watches table images carries out the binaryzation pre-service, obtains table area by printed page analysis;
(2) determine the minimum length of effective form line segment, and, in the table area of binaryzation tabular drawing picture, search for that obtain the effective form line segment of N bar, wherein N is a positive integer according to this length;
(3) positional information according to effective form line segment merges effective form line segment and forms form line territory;
(4) according to the effective form line segment information that comprises in the described form line territory, any form line territory is as sampling table ruling territory on the selection vertical direction, obtain in the sampling table ruling territory outline up and down on the horizontal direction of effective form line segment aggregate, it is the last lower edge of curve, each is asked the mean value of the coordinate figure on the vertical direction to last lower edge, obtain mid point, adjacent mid point is coupled together the sampling table ruling that forms sampling table ruling territory, if the sampling table ruling is discontinuous, then adopt the curve fitting mode to connect;
(5) determine the target location that the sampling table ruling will be corrected to according to the mean value of every bit coordinate figure in vertical direction on the sampling table ruling, the sampling table ruling is corrected to this target location;
(6) locate according to the target location of sampling table ruling and proofread and correct other outer pixels of sampling table ruling in the form in the mode that translation or interpolation are filled.
Wherein, described curve fitting mode is: fitting of a polynomial, Bezier match, B spline-fitting or elliptic curve match.
Wherein, between described step (3) and step (4), also have a step: the form line territory of form line characteristic of field and the effective line segment that comprises thereof are not satisfied in deletion.
Wherein, described step (3) is specially, if effectively about the form line segment and neighbouringly then merge, effectively to merge the number that the back forms form line territory be more than one to the form line segment, each form line territory has upper and lower edge and width, and form line territory is the set of it effective form line segment that comprises.
Adopt method of the present invention, originally Ji Bian tabular drawing picture is by using this method, form is by fine as to correct, improved the form subjective quality, particularly in the utilization of OCR, guarantee the integrality of table content, thereby good preparation has been done in follow-up identification, effectively improve the discrimination of OCR.
Description of drawings
Fig. 1 is the process flow diagram of the less digit correction method of a kind of form piecture geometry fault of the present invention;
Fig. 2 is a distortion tabular drawing picture to be corrected;
Fig. 3 is the amplification effect figure of upper left corner form line after Fig. 2 binaryzation;
Fig. 4 is the effective form line segment synoptic diagram of search on design sketch shown in Figure 3;
Fig. 5 is obtaining lower edge synoptic diagram on the form line territory on Fig. 4;
Fig. 6 is a mid point synoptic diagram of obtaining form line territory on Fig. 5;
Fig. 7 is the tabular drawing picture after Fig. 2 proofreaies and correct;
Fig. 8 is a distortion tabular drawing picture to be corrected;
Fig. 9 is the tabular drawing picture after Fig. 8 proofreaies and correct.
Embodiment
Below in conjunction with accompanying drawing embodiment of the present invention is described in further detail.
Ultimate principle of the present invention is: at first the his-and-hers watches table images is carried out binary conversion treatment, by analysis to binaryzation tabular drawing picture, rough definite form line territory, get on the vertical direction two form lines territory, highest and lowest as the sampling territory, perhaps only get on the vertical direction any form line territory as the sampling territory, carry out the sampling of form line, obtain the sampling table ruling corresponding, then the sampling table ruling is done match and correction with sampling table ruling territory.Other pixels in the form are proofreaied and correct under the drive of sampling table ruling.
As shown in Figure 1, concrete implementation step of the present invention is as follows:
1, the his-and-hers watches table images carries out binary conversion treatment and printed page analysis.To the tabular drawing picture (as shown in Figure 2) of non-binaryzation, carry out the automatic threshold binary conversion treatment of tabular drawing picture earlier; To being the image of binaryzation, then need not to carry out binary conversion treatment.Then binary image is carried out printed page analysis, obtain the table area in the binary image.
2, determine effective form line segment length, the effective form line segment of search obtains the effective form line segment of n bar in the tabular drawing picture of binaryzation.Generally speaking, effectively the form line segment length can be 1/4th of Chinese character width in the tabular drawing picture, and the width of Chinese character can be obtained by printed page analysis, if printed page analysis can not obtain the Chinese character width, just adopts empirical value, and empirical value is about 6 pixels.Effectively the search of line segment is exactly, certain delegation to image is scanned from left to right, write down continuous black pixel, determine a fixed-length value, empirical value is about 6 pixels, thinking that continuous black length in pixels is effective line segment more than or equal to the line segment of this fixed-length value, is exactly that Fig. 3 is carried out 7 effective line segments that scanning search obtains as the black line segment among Fig. 4.
3, merge effective form line segment, obtain a series of water-glass ruling domain lists.By the first left back right side, the effective form line segment of sequential search analysis elder generation under the back,, see that the position of effective form line segment of it and front concerns, need to determine whether merging (as Fig. 4, shown in Figure 5) promptly to the effective form line segment of each bar.The step that effective form line segment is merged into form line territory is as follows:
A) create a form line territory, the inside comprises the effective form line segment of article one.
B) for the effective form line segment of next bar, see whether it is involved or neighbouring relations with a certain form line territory, form line territory comprises effective form line segment come in the horizontal direction, or adjacent in the horizontal direction with this effective form line segment, the position relation of the effective form line segment in more current exactly effective form line segment and all form line territories.
The determination methods of position relation is: for effective form line segment of two horizontal directions, if the position of two effective form line segment A, B (being y direction coordinate) is respectively Apos, Bpos, article two, the starting point of effective form line segment (coordinate of x direction) is respectively Astart, Bstart, and terminating point is respectively Aend, Bend.Satisfy the following relationship formula as two effective form line segments:
Apos-1<=Bpos?&&?Bpos<=Apos+1 (1)
(Astart<=Bend+α?&&Astart>=Bstart-α)||(Bstart<=Aend+α?&&?Bstart>=Astart-α) (2)
Think that then two effective form line segments belong to a form line territory.Wherein, α is 0 or the positive integer constant, represents the minimum spacing on the x direction between annexable two effective form line segments.Empirical value is generally half that does not surpass effective form line segment length.
C) if current effective form line segment not with any form line territory in effective form line segment belong to same form line territory, then create a new form line territory, the inside comprises this line segment.
D) if the effective form line segment in current effective form line segment and one of them the form line territory belongs to same form line territory, then this line segment is added this form line territory.
E) if the effective form line segment in current effective form line segment and a plurality of form lines territory belongs to same form, then merge these form line territories, then this line segment is added the form line territory after merging.
F), all be present in the form line territory up to all effective form line segments repeating step b) to step e).Form line territory is the set of an effective line segment, has width and height, and a form line territory comprises the effective line segment of n bar; Mutually disjoint in these form line territories, promptly an effective form line segment only is present in the form line territory.
In addition, the effective form line segment that also will delete the form line territory of not satisfying form line characteristic of field and comprise.
4, when in the tabular drawing picture two form line warp tendency are roughly the same up and down the time (as shown in Figure 2), choose the longest or any form line territory as sampling table ruling territory, obtain the last lower edge and the middle point sequence in this sampling table ruling territory, all mid points in the connection in the point sequence form a curve, and this curve is exactly the sampling table ruling (as Fig. 5, shown in Figure 6) in this sampling table ruling territory.
When two form lines are seriously crooked about the tabular drawing picture, such as, the radial tabular drawing picture of form line distortion, or form line undulate distortion, at this moment, need to select on the vertical direction a uppermost form line territory and a nethermost form line territory to analyze as the sampling territory, active line fragment position information that comprises according to form line territory and the positional information in the real image are asked their upper and lower edge and center line.Point sequence on the center line is exactly a sampling point set, and the sampling point set in form line territory can reflect the warp tendency of this form line.The center line in form line territory is the sampling table ruling of distortion form.Below be the concrete steps that obtain the sampling table ruling:
I) analytical table ruling territory set is deleted (as: length is too short) for the form line territory of not satisfying form line characteristic of field; Choose any one or in vertical direction minimum and maximum two form line territories, position as the sampling table ruling.
II), can obtain the curve that (the part fracture is arranged) perhaps continuously, the i.e. center line in form line territory according to the line segment aggregate in the form line territory of choosing.
The concrete grammar that obtains above-mentioned curve is as follows: horizontal ordinate maximum, the minimum value of establishing all line segments in the form line territory are respectively X1, X0, for each x (X0<=x<=X1), find each the bar line segment that comprises x, add up the maximum of these line segments, the coordinate figure of minimum vertical direction (being upper edge and the lower edge on this x coordinate of form line), ask maximum, minimum mean value, as the y coordinate figure of form line correspondence on this x coordinate.All ask corresponding y when all x coordinates and sat target value, just formed above-mentioned curve.
III) if above-mentioned curve is continuous, promptly all x have corresponding correct y value, and this curve is exactly a sample line; If there is fracture the centre, then can obtain the point of those disappearances by the mode of curve fit.
Concrete adoptable match form is: (self-adaptation) fitting of a polynomial, Bezier match, B spline-fitting, elliptic curve etc., adopt 3 rank fitting of a polynomials in the present embodiment, when adopting fitting of a polynomial, if adopt the fixedly fitting of a polynomial of exponent number, then exponent number should not be decided too highly, otherwise reforming phenomena easily takes place, and the zone of serious bending in the real image has just enough been described in general 3 rank.
5, the calculating sampling form line target location that will be corrected to is corrected to this target location with the form line.
In this step, the computing method of the target location that calculating sampling form line will be corrected to are: get the average Y value of the center line up-sampling point in form line territory, as its default target position in the Y direction.After determining the target location, the form line is corrected to the target location: the target Y value of establishing correction is yd, then has an x coordinate constant on the sampling table ruling, and the y coordinate all changes yd into.
6, obtain the target location after, other pixels in the form are proofreaied and correct according to the mode that translation or interpolation are filled under the drive of proofreading and correct the sampling table ruling.
When have only a form line for reference to the time, adopt the mode of translation to proofread and correct: any one point coordinate that need be corrected of establishing in the form line is (x, y), the correction target of form line is yd, the coordinate of putting on the table area at any identical x place is (x, yf), then this coordinate after correction is (x, yf+ (yd-y)).
As two form lines be with reference to the time, then adopt the mode of interpolation to fill two zones between the form line.When the bending of form line was serious, distance D 1 and the distance D 2 correction back between of two sampling table rulings in former figure may be unequal, therefore uses interpolation algorithm, the part that fills a vacancy.If in the form arbitrarily on the vertical direction, the corresponding point coordinate of two form lines is (x, y1), (x, y2), the correction target of form line is yd1, yd2, the coordinate of putting on the table area at any identical x place for (x, yf), then this coordinate after correction is (x, yd1+ (yf-y1) are (yd2-yd1)/(y2-y1)).By the figure as a result after its correction, as Fig. 7 and shown in Figure 9, effect is very desirable.
Can see that by present embodiment originally Ji Bian tabular drawing picture (as Fig. 2 and Fig. 8) is by using this method, form is by fine correct (as Fig. 7 and Fig. 9).Method of the present invention has improved the form subjective quality, particularly in the utilization of OCR, guarantees the integrality of table content, thereby good preparation has been done in follow-up identification, effectively improves the discrimination of OCR.

Claims (4)

1. the less digit correction method of a form piecture geometry fault is characterized in that, may further comprise the steps:
(1) the his-and-hers watches table images carries out the binaryzation pre-service, obtains table area by printed page analysis;
(2) determine the minimum length of effective form line segment, and, in the table area of binaryzation tabular drawing picture, search for that obtain the effective form line segment of N bar, wherein N is a positive integer according to this length;
(3) positional information according to effective form line segment merges effective form line segment and forms form line territory;
(4) according to the effective form line segment information that comprises in the described form line territory, any form line territory is as sampling table ruling territory on the selection vertical direction, obtain in the sampling table ruling territory outline up and down on the horizontal direction of effective form line segment aggregate, it is the last lower edge of curve, each is asked the mean value of the coordinate figure on the vertical direction to last lower edge, obtain mid point, adjacent mid point is coupled together the sampling table ruling that forms sampling table ruling territory, if the sampling table ruling is discontinuous, then adopt the curve fitting mode to connect;
(5) determine the target location that the sampling table ruling will be corrected to according to the mean value of every bit coordinate figure in vertical direction on the sampling table ruling, the sampling table ruling is corrected to this target location;
(6) locate according to the target location of sampling table ruling and proofread and correct other outer pixels of sampling table ruling in the form in the mode that translation or interpolation are filled.
2. according to the less digit correction method of the described form piecture geometry fault of claim 1, it is characterized in that described curve fitting mode is: fitting of a polynomial, Bezier match, B spline-fitting or elliptic curve match.
3. according to the less digit correction method of the described form piecture geometry fault of claim 1, it is characterized in that, between described step (3) and step (4), also has a step: effective form line segment that deletion is not satisfied the form line territory of form line characteristic of field and comprised.
4. according to the less digit correction method of the described form piecture geometry fault of claim 1, it is characterized in that, described step (3) is specially, if effectively about the form line segment and neighbouringly then merge, the number that forms form line territory after effectively the form line segment merges is more than one, each form line territory has upper and lower edge and width, and form line territory is the set of it effective form line segment that comprises.
CNB200610078993XA 2006-04-29 2006-04-29 Digital correction method for geometric distortion of form image Expired - Fee Related CN100464346C (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CNB200610078993XA CN100464346C (en) 2006-04-29 2006-04-29 Digital correction method for geometric distortion of form image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CNB200610078993XA CN100464346C (en) 2006-04-29 2006-04-29 Digital correction method for geometric distortion of form image

Publications (2)

Publication Number Publication Date
CN101064007A CN101064007A (en) 2007-10-31
CN100464346C true CN100464346C (en) 2009-02-25

Family

ID=38965019

Family Applications (1)

Application Number Title Priority Date Filing Date
CNB200610078993XA Expired - Fee Related CN100464346C (en) 2006-04-29 2006-04-29 Digital correction method for geometric distortion of form image

Country Status (1)

Country Link
CN (1) CN100464346C (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10140692B2 (en) 2014-06-13 2018-11-27 Compagnie Generale Des Etablissements Michelin Tire image rectifying method

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4491488B2 (en) * 2008-03-03 2010-06-30 シャープ株式会社 Image processing apparatus, image reading apparatus, image data output processing apparatus, and image processing method
CN101778200B (en) * 2010-02-08 2014-08-13 王晓年 Nonuniform sampling-based image correction system and method
CN102592124B (en) * 2011-01-13 2013-11-27 汉王科技股份有限公司 Geometrical correction method, device and binocular stereoscopic vision system of text image
JP5783972B2 (en) * 2012-08-17 2015-09-24 株式会社東芝 Handwritten document processing apparatus, method and program
CN107368806B (en) * 2017-07-18 2020-01-10 Oppo广东移动通信有限公司 Image rectification method, image rectification device, computer-readable storage medium and computer equipment
CN107909064B (en) * 2017-12-27 2018-11-16 掌阅科技股份有限公司 Three line table recognition methods, electronic equipment and storage medium
CN110163030B (en) * 2018-02-11 2021-04-23 鼎复数据科技(北京)有限公司 PDF framed table extraction method based on image information
CN108776776B (en) * 2018-05-25 2021-11-02 河南思维轨道交通技术研究院有限公司 Identification method for horizontal and vertical line segment in image
CN109117814B (en) * 2018-08-27 2020-11-03 京东数字科技控股有限公司 Image processing method, image processing apparatus, electronic device, and medium
CN110969586A (en) * 2019-10-24 2020-04-07 青岛中科智保科技有限公司 Human-computer interaction based algorithm for eliminating text image deformation
CN111353961B (en) * 2020-03-12 2023-12-19 上海合合信息科技股份有限公司 Document curved surface correction method and device
CN113012075A (en) * 2021-04-22 2021-06-22 中国平安人寿保险股份有限公司 Image correction method and device, computer equipment and storage medium
CN114118949B (en) * 2021-11-09 2023-06-27 北京市燃气集团有限责任公司 Information processing system and method for bill
CN115082939B (en) * 2022-05-12 2023-11-17 吉林省吉林祥云信息技术有限公司 System and method for correcting distortion table in image based on arc differentiation

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1379364A (en) * 2001-03-29 2002-11-13 日本电气株式会社 Graph comparing device and graph comparing method
EP0692767B1 (en) * 1994-07-13 2003-10-08 Canon Kabushiki Kaisha Image processing apparatus and method
WO2005041125A1 (en) * 2003-10-24 2005-05-06 Fujitsu Limited Program for correcting image distortion, device for correcting image distortion, method for correcting image distortion, and recording medium storing program for correcting image distortion

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0692767B1 (en) * 1994-07-13 2003-10-08 Canon Kabushiki Kaisha Image processing apparatus and method
CN1379364A (en) * 2001-03-29 2002-11-13 日本电气株式会社 Graph comparing device and graph comparing method
WO2005041125A1 (en) * 2003-10-24 2005-05-06 Fujitsu Limited Program for correcting image distortion, device for correcting image distortion, method for correcting image distortion, and recording medium storing program for correcting image distortion

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10140692B2 (en) 2014-06-13 2018-11-27 Compagnie Generale Des Etablissements Michelin Tire image rectifying method

Also Published As

Publication number Publication date
CN101064007A (en) 2007-10-31

Similar Documents

Publication Publication Date Title
CN100464346C (en) Digital correction method for geometric distortion of form image
JP4525787B2 (en) Image extraction apparatus and image extraction program
CN111127339B (en) Method and device for correcting trapezoidal distortion of document image
JP6021557B2 (en) Image processing apparatus, image processing system, image processing method, and image processing program
CN110647795B (en) Form identification method
CN102063621B (en) Method and device for correcting geometric distortion of character lines
CN102567300A (en) Picture document processing method and device
CN101697228A (en) Method for processing text images
JP4395188B2 (en) Document image recognition apparatus and storage medium for document image recognition program
US8538191B2 (en) Image correction apparatus and method for eliminating lighting component
JP4532331B2 (en) Information embedding device, information extracting device, information embedding method, information extracting method, information embedding program, and information extracting program
CN111145124A (en) Image tilt correction method and device
CN100363940C (en) Document image geometry fault correction method
CN116311317A (en) Paragraph information restoration method after paper document electronization
CN115222935A (en) Image correction method, image correction device, electronic apparatus, scanning pen, and storage medium
CN105512659B (en) A kind of curved modification method of literal line and system
US20050129333A1 (en) Image correction device and image correction method
JP4208520B2 (en) Image processing apparatus, image processing method, program, and storage medium
US9679179B2 (en) Method for processing information from a hand-held scanning device
US7415168B2 (en) Image reading device
JP3378439B2 (en) Form image creation device
KR20050062350A (en) Correction method of geometrical distortion for document image by camera
KR100603618B1 (en) Apparatus and Method for Geometric Distortion Correction of Document Image using Affine Transform
EP3345126A1 (en) Method and system for correction of an image from a hand-held scanning device
TW201208355A (en) Method for auto-cropping image

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20090225

Termination date: 20170429

CF01 Termination of patent right due to non-payment of annual fee