CN106446897A - Identification method of hollow verification code - Google Patents
Identification method of hollow verification code Download PDFInfo
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- CN106446897A CN106446897A CN201610812124.9A CN201610812124A CN106446897A CN 106446897 A CN106446897 A CN 106446897A CN 201610812124 A CN201610812124 A CN 201610812124A CN 106446897 A CN106446897 A CN 106446897A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012795 verification Methods 0.000 title abstract 6
- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 230000002452 interceptive effect Effects 0.000 claims description 37
- 239000000284 extract Substances 0.000 claims description 13
- 238000001914 filtration Methods 0.000 claims description 9
- 238000002372 labelling Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 5
- 238000013461 design Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 claims description 4
- 230000007935 neutral effect Effects 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims description 2
- 238000007405 data analysis Methods 0.000 abstract description 2
- 238000012549 training Methods 0.000 abstract description 2
- 230000006378 damage Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000002203 pretreatment Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/148—Segmentation of character regions
- G06V30/153—Segmentation of character regions using recognition of characters or words
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/273—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion removing elements interfering with the pattern to be recognised
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
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- General Physics & Mathematics (AREA)
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- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Character Discrimination (AREA)
Abstract
The invention discloses a method for identifying hollow verification codes, which comprises the following steps: firstly, extracting a character image, preprocessing the extracted character, and extracting a character area without character interference; cutting the character area to segment the characters; and training the characters to obtain a corresponding recognition model for recognition. Compared with the prior art, when a data analysis person needs to acquire a large amount of network data, the method for identifying the hollow verification code can automatically and rapidly identify the characters in the verification code and accurately acquire the hollow verification code, and cannot acquire data due to obstruction and identification errors of the verification code.
Description
Technical field
The present invention relates to identifying code technology of identification field, specifically a kind of practical, identification of hollow identifying code
Method.
Background technology
Identifying code distinguishes, as a kind of, the safe practice that user is computer or the mankind, is adopted by most of websites.
The appearance of identifying code is the destruction in order to prevent some rogue programs to website, such as batch registration, post in batches, be also prevented from simultaneously
Crawlers carry out resource crawl.The main character identifying code adopting based on image at present.Hollow character identifying code is as one kind
Identifying code design, is designed as an interfering line and passes through hollow character, so that the visual experience of user is done unlike solid adhesion
Disturb the Consumer's Experience causing to decline.Hollow character identifying code as a kind of relatively new design, by each major company net
Station is applied in the modules such as its User logs in, mailbox checking, forum's comment.
Therefore, while identifying code brings safe to website, also carry to some people being engaged in data analysiss acquisition work
Carry out inconvenience necessarily, identifying code recognizer is exactly to solve this problem.At present, hollow character identifying code compares as one kind
Novel mode, there is presently no a kind of effective method to identify it.Based on this, now provide a kind of identification of hollow identifying code
Method.
Content of the invention
The technical assignment of the present invention is for above weak point, provides a kind of practical, identification of hollow identifying code
Method.
A kind of recognition methodss of hollow identifying code, the process of realizing of the method is：
Extract character picture first, pretreatment is carried out to the character extracting, extract the character zone removing character interference；
Character zone is cut, is partitioned into character；
Character is trained, obtains corresponding identification model, be identified.
Described character pre-processing process is completed by image pre-processing module, and the processing procedure of this module is：
Step one, first to extract character carry out binary conversion treatment, according to character feature extract interfering line region；
Step 2 then on interfering line region remove character zone impact, obtain interfering line position；
Step 3, along interfering line direction, according to the feature of character around, remove part interfering line；
Step 4, connected component labeling is carried out to it, find out all of character breaking portion and interfering line dry with what character was formed
Disturb region, remove interference region.
The detailed process of described step one is：
To the character picture extracting, first by the filtering algorithm including gaussian filtering, medium filtering filters the noise in image
Point；
Then according to the pixel characteristic of image, using adaptive threshold or fixed threshold algorithm, image is carried out at binaryzation
Reason；
According to the generation feature of hollow identifying code, to the situation having character to have fracture, repair character outline line it is ensured that outside character
The integrity of edge, thus complete the extraction in interfering line region.
In step 2, the pixel characteristic according to hollow identifying code is referred to according to interfering line extracted region interfering line, extract dry
Disturb line, and record the position that it is located.
Remove part interfering line in step 3 to refer to the process of disconnect interfering line, that is, the pixel according to hollow identifying code is special
Levy, the field pixel of interfering line is analyzed, disconnect and substantially interfere with line position.
In step 4, the connected region of labelling includes the connected region of the connected region, character and character formation of character of rupturing
Connected region and the connected region of character inside itself that domain, character and interfering line are formed；
Remove interference connected region and refer to remove all of connected region in addition to fracture character, specially：By analyzing connected region
Overseas distribution characteristicss, distinguish fracture character connected region and interference connected region, classified, remove.
The step connecting with rotational correction that ruptures also is included, specially in above-mentioned pre-treatment step：
Fracture Connection Step refers to that fracture character connected region part connects, the finite length effect feature to character for the Analysis interference line,
Design corresponding connection template, connect breaking portion；
Rotational correction step refers to find out the minimum enclosed rectangle of the every part of every character, removes interference rectangle, and statistical computation draws
The anglec of rotation, rotates identifying code image.
Character zone is carried out cut through with hollow character segmentation module complete, this module is by entering to each character zone
Row merges classification, obtains the region at each character place, cuts the output of each character, specially：
To the character connected region obtaining, merge classification, calculate the center at each character place, attached in this position
Nearly setting threshold value, calculates the distance with character position, if less than predetermined threshold value, is then included into this character, otherwise, belongs to
In other characters, thus having obtained the particular location at each character place；Concrete by above-mentioned each character calculated
Position, carries out cutting output, for the character recognition of next step to each character.
Character recognition is realized by character recognition module, and this module is trained character neutral net, trains symbol
Close the model of this class character feature, enter line character with this model and judge to identify.
The recognition methodss of a kind of hollow identifying code of the present invention, have advantages below：
A kind of recognition methodss of the hollow identifying code of this invention, when data analyst needs to obtain a large amount of network data, pin
To hollow identifying code, automatically can rapidly identify the character in identifying code, accurately be obtained, will not be because of identifying code
Hinder and identification mistake, appearance cannot obtain data, further, since the character that this character model is aimed at this class is trained
Arrive, discrimination greatly improves, practical, applied widely it is easy to promote.
Brief description
Accompanying drawing 1 realizes structural representation for the present invention's.
Accompanying drawing 2 is the flowchart of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings and specific embodiment the invention will be further described.
As shown in accompanying drawing 1, Fig. 2, the present invention provides a kind of recognition methodss of hollow identifying code, for for interfering line
The identifying code of hollow character is identified.The method utilizes binaryzation to extract the edge of character, extracts interference according to character feature
Line region, removes character zone impact, obtains interfering line position, along interfering line direction, according to the feature of character around,
Remove part interfering line, then connected component labeling is carried out to it, find out all of character breaking portion and interfering line and character
The interference region being formed, using a kind of algorithm proposed by the present invention, removes interference region.Using several neighborhoods proposed by the present invention
Model connects breaking portion, by the statistical analysiss to each connected region, calculates the anglec of rotation, rotates image, to each word
Symbol region carries out classification and merges, and obtains the region at each character place, finally cuts the output of each character.Then character god
It is trained through network, trains the model meeting this class character feature, to enter line character with this model and to judge to identify.
It realizes process：
Extract character picture first, pretreatment is carried out to the character extracting, extract the character zone removing character interference；
Character zone is cut, is partitioned into character；
Character is trained, obtains corresponding identification model, be identified.
Described character pre-processing process is completed by image pre-processing module, and the processing procedure of this module is：
Using filtering algorithm such as gaussian filtering, medium filtering filters the noise spot in image.
According to the pixel characteristic of image, using adaptive threshold or fixed threshold algorithm, image is carried out at binaryzation
Reason.
According to the generation feature of hollow identifying code, to the situation having character to have fracture, need repair character outline line it is ensured that
The outer peripheral integrity of character.
Extract interfering line, according to the pixel characteristic of hollow identifying code, extract interfering line, and record the position that it is located
Put.
Disconnect interfering line, according to the pixel characteristic of hollow identifying code, the field pixel of interfering line is analyzed, disconnect bright
Aobvious interference line position.
Connected component labeling, finds out all of connected region, and mark position, connected region now, not only includes
The connected region of fracture character, also includes the connected region that character is formed, the connected region that character is formed with interfering line with character
And the connected region that character itself is internal, it is required for being marked.
Go to disturb connected region, all of connected region in addition to the above-mentioned character except fracture of main inclusion, mainly pass through analysis and connect
The external distribution characteristicss in logical region, according to certain strategy, distinguish fracture character connected region and interference connected region, carry out point
Class, removes.
Fracture character connected region part connects, and the finite length effect feature to character for the Analysis interference line designs corresponding company
Connect template, connect breaking portion.（This step typically can not couple together all of character breaking portion）
Rotational correction, finds out the minimum enclosed rectangle of the every part of every character, removes interference rectangle, and statistical computation draws the anglec of rotation
Degree, rotates identifying code image.
Character zone is carried out cut through with hollow character segmentation module complete, this module is by entering to each character zone
Row merges classification, obtains the region at each character place, cuts the output of each character, specially：
To character connected region obtained above, merge classification, usually calculate the general center at each character place
Position, near this position, according to certain strategy, arranges threshold value, calculates the distance with character position, if less than
Predetermined threshold value, then be included into this character, otherwise, belongs to other characters, thus having obtained the particular location at each character place.
By the particular location of above-mentioned each character calculated, each character is carried out with cutting output, for next
The character recognition of step.
Character recognition is realized by character recognition module, and this module is trained character neutral net, trains symbol
Close the model of this class character feature, enter line character with this model and judge to identify.This module is mainly responsible for obtained above every
Individual character, is identified, and has many existing character recognition modules at present, but recognition effect is all not ideal, for this reason, using
The neutral net that this class hollow character is learnt by training machine, obtains reflecting the mould of this class hollow character inherent feature
Type, is identified with this model, defeated identification character, and ratio uses existing identification module, and character identification rate is much improved.
Above-mentioned specific embodiment is only the concrete case of the present invention, and the scope of patent protection of the present invention includes but is not limited to
Above-mentioned specific embodiment, any recognition methodss of a kind of hollow identifying code meeting the present invention claims and any
The suitable change or replacement that person of an ordinary skill in the technical field is done to it, all should fall into the patent protection model of the present invention
Enclose.
Claims (9)
1. a kind of recognition methodss of hollow identifying code are it is characterised in that the process of realizing of the method is：
Extract character picture first, pretreatment is carried out to the character extracting, extract the character zone removing character interference；
Character zone is cut, is partitioned into character；
Character is trained, obtains corresponding identification model, be identified.
2. a kind of recognition methodss of hollow identifying code according to claim 1 are it is characterised in that described character pre-processing mistake
Journey is completed by image pre-processing module, and the processing procedure of this module is：
Step one, first to extract character carry out binary conversion treatment, according to character feature extract interfering line region；
Step 2 then on interfering line region remove character zone impact, obtain interfering line position；
Step 3, along interfering line direction, according to the feature of character around, remove part interfering line；
Step 4, connected component labeling is carried out to it, find out all of character breaking portion and interfering line dry with what character was formed
Disturb region, remove interference region.
3. a kind of hollow identifying code according to claim 2 recognition methodss it is characterised in that described step one concrete
Process is：
To the character picture extracting, first by the filtering algorithm including gaussian filtering, medium filtering filters the noise in image
Point；
Then according to the pixel characteristic of image, using adaptive threshold or fixed threshold algorithm, image is carried out at binaryzation
Reason；
According to the generation feature of hollow identifying code, to the situation having character to have fracture, repair character outline line it is ensured that outside character
The integrity of edge, thus complete the extraction in interfering line region.
4. a kind of recognition methodss of hollow identifying code according to claim 2 are it is characterised in that according to interference in step 2
Line extracted region interfering line refers to the pixel characteristic according to hollow identifying code, extracts interfering line, and records the position that it is located
Put.
5. a kind of recognition methodss of hollow identifying code according to claim 2 are it is characterised in that remove part in step 3
Interfering line refers to the process of disconnect interfering line, that is, according to the pixel characteristic of hollow identifying code, the field pixel of interfering line is carried out
Analysis, disconnects and substantially interferes with line position.
6. a kind of hollow identifying code according to claim 2 recognition methodss it is characterised in that in step 4 labelling company
Logical region includes the connection of the connected region of connected region, character and character formation, character and interfering line formation of character of rupturing
Region and the connected region of character inside itself；
Remove interference connected region and refer to remove all of connected region in addition to fracture character, specially：By analyzing connected region
Overseas distribution characteristicss, distinguish fracture character connected region and interference connected region, classified, remove.
7. the recognition methodss according to the arbitrary described a kind of hollow identifying code of claim 2-6 are it is characterised in that above-mentioned pretreatment
The step connecting with rotational correction that ruptures also is included, specially in step：
Fracture Connection Step refers to that fracture character connected region part connects, the finite length effect feature to character for the Analysis interference line,
Design corresponding connection template, connect breaking portion；
Rotational correction step refers to find out the minimum enclosed rectangle of the every part of every character, removes interference rectangle, and statistical computation draws
The anglec of rotation, rotates identifying code image.
8. a kind of recognition methodss of hollow identifying code according to claim 1 are it is characterised in that cut to character zone
Cut and completed by hollow character segmentation module, this module, by merging classification to each character zone, obtains each character
The region being located, cuts the output of each character, specially：
To the character connected region obtaining, merge classification, calculate the center at each character place, attached in this position
Nearly setting threshold value, calculates the distance with character position, if less than predetermined threshold value, is then included into this character, otherwise, belongs to
In other characters, thus having obtained the particular location at each character place；Concrete by above-mentioned each character calculated
Position, carries out cutting output, for the character recognition of next step to each character.
9. a kind of recognition methodss of hollow identifying code according to claim 1 are it is characterised in that character is passed through in character recognition
Identification module is realized, and this module is trained character neutral net, trains the model meeting this class character feature, with this
Model come to enter line character judge identification.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107067006A (en) * | 2017-04-20 | 2017-08-18 | 金电联行（北京）信息技术有限公司 | A kind of method for recognizing verification code and system for serving data acquisition |
| CN107292311A (en) * | 2017-08-10 | 2017-10-24 | 河南科技大学 | A kind of recognition methods of the Characters Stuck identifying code based on neutral net |
| CN107292307A (en) * | 2017-07-21 | 2017-10-24 | 华中科技大学 | One kind is inverted Chinese character identifying code automatic identifying method and system |
| CN107360137A (en) * | 2017-06-15 | 2017-11-17 | 深圳市牛鼎丰科技有限公司 | Construction method and device for the neural network model of identifying code identification |
| CN108038484A (en) * | 2017-12-11 | 2018-05-15 | 中国人民解放军战略支援部队信息工程大学 | Hollow identifying code method for quickly identifying |
| CN108171229A (en) * | 2017-12-27 | 2018-06-15 | 广州多益网络股份有限公司 | A kind of recognition methods of hollow adhesion identifying code and system |
| CN108537225A (en) * | 2017-03-01 | 2018-09-14 | 重庆邮电大学 | A method of for hollow character in automatic identification identifying code |
| CN109086772A (en) * | 2018-08-16 | 2018-12-25 | 成都市映潮科技股份有限公司 | A kind of recognition methods and system distorting adhesion character picture validation code |
| CN109101810A (en) * | 2018-08-14 | 2018-12-28 | 电子科技大学 | A kind of text method for recognizing verification code based on OCR technique |
| CN109150817A (en) * | 2017-11-24 | 2019-01-04 | 新华三信息安全技术有限公司 | A kind of web-page requests recognition methods and device |
| CN110069915A (en) * | 2019-03-12 | 2019-07-30 | 杭州电子科技大学 | A kind of nine grids figure method for recognizing verification code based on contours extract |
| CN110232375A (en) * | 2018-03-05 | 2019-09-13 | 重庆邮电大学 | A kind of method for recognizing verification code hollow end to end |
| CN110490056A (en) * | 2019-07-08 | 2019-11-22 | 北京三快在线科技有限公司 | The method and apparatus that image comprising formula is handled |
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108537225A (en) * | 2017-03-01 | 2018-09-14 | 重庆邮电大学 | A method of for hollow character in automatic identification identifying code |
| CN107067006A (en) * | 2017-04-20 | 2017-08-18 | 金电联行（北京）信息技术有限公司 | A kind of method for recognizing verification code and system for serving data acquisition |
| CN107360137A (en) * | 2017-06-15 | 2017-11-17 | 深圳市牛鼎丰科技有限公司 | Construction method and device for the neural network model of identifying code identification |
| CN107292307B (en) * | 2017-07-21 | 2019-12-17 | 华中科技大学 | Automatic identification method and system for inverted Chinese character verification code |
| CN107292307A (en) * | 2017-07-21 | 2017-10-24 | 华中科技大学 | One kind is inverted Chinese character identifying code automatic identifying method and system |
| CN107292311A (en) * | 2017-08-10 | 2017-10-24 | 河南科技大学 | A kind of recognition methods of the Characters Stuck identifying code based on neutral net |
| CN109150817A (en) * | 2017-11-24 | 2019-01-04 | 新华三信息安全技术有限公司 | A kind of web-page requests recognition methods and device |
| CN109150817B (en) * | 2017-11-24 | 2020-11-27 | 新华三信息安全技术有限公司 | Webpage request identification method and device |
| CN108038484A (en) * | 2017-12-11 | 2018-05-15 | 中国人民解放军战略支援部队信息工程大学 | Hollow identifying code method for quickly identifying |
| CN108038484B (en) * | 2017-12-11 | 2020-05-05 | 中国人民解放军战略支援部队信息工程大学 | Method for quickly identifying hollow verification code |
| CN108171229A (en) * | 2017-12-27 | 2018-06-15 | 广州多益网络股份有限公司 | A kind of recognition methods of hollow adhesion identifying code and system |
| CN108171229B (en) * | 2017-12-27 | 2021-11-16 | 广州多益网络股份有限公司 | Method and system for identifying hollow adhesion verification code |
| CN110232375A (en) * | 2018-03-05 | 2019-09-13 | 重庆邮电大学 | A kind of method for recognizing verification code hollow end to end |
| CN109101810A (en) * | 2018-08-14 | 2018-12-28 | 电子科技大学 | A kind of text method for recognizing verification code based on OCR technique |
| CN109101810B (en) * | 2018-08-14 | 2021-07-06 | 电子科技大学 | Character verification code recognition method based on OCR technology |
| CN109086772A (en) * | 2018-08-16 | 2018-12-25 | 成都市映潮科技股份有限公司 | A kind of recognition methods and system distorting adhesion character picture validation code |
| CN110069915A (en) * | 2019-03-12 | 2019-07-30 | 杭州电子科技大学 | A kind of nine grids figure method for recognizing verification code based on contours extract |
| CN110069915B (en) * | 2019-03-12 | 2021-04-13 | 杭州电子科技大学 | Sudoku graphic verification code identification method based on contour extraction |
| CN110490056A (en) * | 2019-07-08 | 2019-11-22 | 北京三快在线科技有限公司 | The method and apparatus that image comprising formula is handled |
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Application publication date: 20170222 |