CN109446873A - Hand-written script recognition methods, system and terminal device - Google Patents
Hand-written script recognition methods, system and terminal device Download PDFInfo
- Publication number
- CN109446873A CN109446873A CN201810977893.3A CN201810977893A CN109446873A CN 109446873 A CN109446873 A CN 109446873A CN 201810977893 A CN201810977893 A CN 201810977893A CN 109446873 A CN109446873 A CN 109446873A
- Authority
- CN
- China
- Prior art keywords
- hand
- written
- text
- manuscript
- written script
- 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
Classifications
-
- 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
- G06V30/32—Digital ink
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/757—Matching configurations of points or features
-
- 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
- G06V30/32—Digital ink
- G06V30/333—Preprocessing; Feature extraction
-
- 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
- G06V30/32—Digital ink
- G06V30/36—Matching; Classification
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Health & Medical Sciences (AREA)
- Character Discrimination (AREA)
Abstract
The invention discloses a kind of hand-written script recognition methods, system and terminal devices, and wherein method is the following steps are included: acquire hand-written script track when user writes, and obtain corresponding standard letter text according to hand-written script track；Feature extraction is carried out to obtain the characteristic information of hand-written script text to hand-written script track, and text library is created according to the characteristic information of hand-written script text and corresponding standard letter text；The image of hand-written manuscript is acquired, and the image of hand-written manuscript is handled to obtain the characteristic information of each hand-written script text in hand-written manuscript；The mapping relations collection for selecting user corresponding with the author of hand-written manuscript in text library, and by calling the mapping relations collection of selection to be matched, to obtain the corresponding standard letter text of each hand-written script text in hand-written manuscript；The corresponding standard letter manuscript of hand-written manuscript is generated according to standard letter text.The present invention can quickly identify the hand-written script of hand-written manuscript, and improve accuracy of identification.
Description
Technical field
The present invention relates to Computer Recognition Technology field, in particular to a kind of hand-written script recognition methods, hand-written script are known
Other system and terminal device.
Background technique
Currently, with the fast development of word processing technology, many electronic equipments all have the function of handwriting input text,
By recognizer by the text conversion of hand-written script be computword.But the recognition methods of existing hand-written script is most
Number is identified based on stroke or track, needs that stroke or track are accurately extracted and identified, however by
Hand-written script in everyone is different, and many texts will appear stroke deformation when hand-written, be even dispensed with, so having
When be difficult accurately and rapidly to identify the text of hand-written script.
Therefore, the recognition methods of existing hand-written script, either in terms of accuracy of identification, or in terms of recognition speed,
All it is difficult to meet the needs of users.
Summary of the invention
The present invention is directed to solve one of the technical problem in above-mentioned technology at least to a certain extent.For this purpose, of the invention
One purpose is to propose a kind of hand-written script recognition methods, be created based on the characteristic difference of different user hand-written script corresponding
Mapping relations collection, then its corresponding mapping relations collection is called when identifying the hand-written manuscript of a certain user, so as to fast
Speed identifies the hand-written script text of hand-written manuscript, and accuracy of identification is greatly improved.
Second object of the present invention is to propose a kind of computer readable storage medium.
Third object of the present invention is to propose a kind of terminal device.
Fourth object of the present invention is to propose a kind of hand-written script identifying system.
5th purpose of the invention, which also resides in, proposes a kind of terminal device.
In order to achieve the above objectives, a kind of hand-written script recognition methods that first aspect present invention embodiment proposes, including with
Lower step: hand-written script track when acquiring hand-written script track when user writes, and being write according to the user obtains hand
Write the corresponding standard letter text of font file；Hand-written script track when writing to the user carries out feature extraction to obtain
The characteristic information for the hand-written script text that user writes, and according to the characteristic information of the hand-written script text and the handwritten word
The corresponding standard letter text of body text creates text library, wherein the text library includes the hand-written script of at least one user
The characteristic information of text and the mapping relations collection of standard letter text；The image of hand-written manuscript is acquired, and to the hand-written manuscript
Image handled to obtain the characteristic information of each hand-written script text in the hand-written manuscript；It selects in the text library
The mapping of the characteristic information and standard letter text of the hand-written script text of user corresponding with the author of the hand-written manuscript
Set of relations, and by call the mapping relations collection of selection to the characteristic information of each hand-written script text in the hand-written manuscript into
Row matching, to obtain the corresponding standard letter text of each hand-written script text in the hand-written manuscript；According to the hand-written book
The corresponding standard letter text of each hand-written script text generates the corresponding standard letter manuscript of the hand-written manuscript in original text.
Hand-written script recognition methods according to an embodiment of the present invention, hand-written script track when being write by acquisition user,
And hand-written script track when being write according to user obtains the corresponding standard letter text of hand-written script text, then to user's book
Hand-written script track when writing carries out feature extraction to obtain the characteristic information of the hand-written script text of user's writing, then according to
The corresponding standard letter text of the characteristic information and hand-written script text of hand-written script text creates text library, thus based on difference
The different characteristics of the hand-written script of user create the characteristic information and standard word of hand-written script text corresponding to different user
The mapping relations collection of body text, in this way when the hand-written manuscript to some user identifies, by the figure for acquiring hand-written manuscript
Picture, and the image of hand-written manuscript is handled to obtain the characteristic information of each hand-written script text in hand-written manuscript, then
Select the characteristic information of the hand-written script text of user corresponding with the author of hand-written manuscript and standard letter text in text library
The mapping relations collection of word, and by calling the mapping relations collection of selection to believe the feature of hand-written script text each in hand-written manuscript
Breath is matched, to obtain the corresponding standard letter text of each hand-written script text in hand-written manuscript, finally according to hand-written book
The corresponding standard letter manuscript of the hand-written manuscript of each corresponding standard letter text generation of hand-written script text in original text, so as to
Realization quickly identifies the hand-written script of hand-written manuscript, and accuracy of identification is greatly improved, to hand-written manuscript
Quick and precisely identification has important practical significance.
In addition, the hand-written script recognition methods proposed according to that above embodiment of the present invention can also have following additional skill
Art feature:
According to one embodiment of present invention, hand-written script track when writing to the user carries out feature extraction to obtain use
The characteristic information for the hand-written script text that family is write, comprising: hand-written script track when being write according to the user generates user
The image of the hand-written script text of writing；Grayscale image is converted by image corresponding to the hand-written script text；To the hand
It writes grayscale image corresponding to font file and carries out HOG processing to obtain HOG feature, so as to using HOG feature as the handwritten word
The characteristic information of body text.
According to one embodiment of present invention, the image of the hand-written manuscript is handled to obtain the hand-written manuscript
In each hand-written script text characteristic information, comprising: convert grayscale image for the image of the hand-written manuscript；To described hand-written
The corresponding grayscale image of manuscript is pre-processed to obtain the grayscale image of each hand-written script text in the hand-written manuscript；To described
In hand-written manuscript each hand-written script text grayscale image carry out HOG handle to obtain HOG feature, so as to using HOG feature as
The characteristic information of each hand-written script text in the hand-written manuscript.
According to one embodiment of present invention, the corresponding grayscale image of the hand-written manuscript is pre-processed, comprising: to institute
It states the corresponding grayscale image of hand-written manuscript and carries out gridding processing to capture the square of each hand-written script text in the hand-written manuscript
Shape block.
According to one embodiment of present invention, by calling the mapping relations collection of selection to each in the hand-written manuscript
When the characteristic information of hand-written script text is matched, each hand-written script text in the hand-written manuscript, and root are directly obtained
The electronic edition manuscript of the hand-written manuscript is generated according to each hand-written script text in the hand-written manuscript.
According to one embodiment of present invention, above-mentioned hand-written script recognition methods, further includes: obtain standard letter book
Original text；According to the spy of each standard letter text in the standard letter manuscript and the hand-written script text of the different user of selection
The mapping relations collection of reference breath and standard letter text, obtains the hand-written book of the corresponding different user of the standard letter manuscript
Original text.
In order to achieve the above objectives, second aspect of the present invention embodiment proposes a kind of computer readable storage medium, thereon
It is stored with hand-written script recognizer, which realizes hand-written script as described above when being executed by processor
Recognition methods.
Computer readable storage medium according to an embodiment of the present invention, the hand-written script recognizer of storage is by processor
When execution, above-mentioned hand-written script recognition methods is realized, so as to realize that the hand-written script to hand-written manuscript is quickly known
, and do not substantially increase accuracy of identification, error is reduced to it is minimum, to hand-written manuscript quick and precisely identification have it is important
Practical significance.
In order to achieve the above objectives, a kind of terminal device that third aspect present invention embodiment proposes, including memory, processing
Device and it is stored in the hand-written script recognizer that can be run on the memory and on the processor, the processor executes
Hand-written script recognition methods as described above is realized when the hand-written script recognizer.
Terminal device according to an embodiment of the present invention can be realized pair by executing above-mentioned hand-written script recognition methods
The hand-written script of hand-written manuscript is quickly identified, and substantially increases accuracy of identification, error is reduced to it is minimum, to hand-written
The quick and precisely identification of manuscript has important practical significance.
In order to achieve the above objectives, a kind of hand-written script identifying system that fourth aspect present invention embodiment proposes, comprising: the
One acquisition module, for acquiring hand-written script track when user writes；Module is obtained, when for being write according to the user
Hand-written script track obtains the corresponding standard letter text of hand-written script text；Characteristic extracting module, for user's book
Hand-written script track when writing carries out feature extraction to obtain the characteristic information of the hand-written script text of user's writing；Create mould
Block, for being created according to the characteristic information of the hand-written script text and the corresponding standard letter text of the hand-written script text
Text library, wherein the text library includes the characteristic information and standard letter text of the hand-written script text of at least one user
Mapping relations collection；Second acquisition module, for acquiring the image of hand-written manuscript；Image processing module, for described hand-written
The image of manuscript is handled to obtain the characteristic information of each hand-written script text in the hand-written manuscript；Matching module is used
In select in the text library characteristic information of the hand-written script text of user corresponding with the author of the hand-written manuscript with
The mapping relations collection of standard letter text, and by calling the mapping relations collection of selection to each handwritten word in the hand-written manuscript
The characteristic information of body text is matched, to obtain the corresponding standard letter text of each hand-written script text in the hand-written manuscript
Word；Generation module, for according to the corresponding standard letter text generation of hand-written script text each in the hand-written manuscript
The corresponding standard letter manuscript of hand-written manuscript.
Hand-written script identifying system according to an embodiment of the present invention acquires hand when user writes by the first acquisition module
It writes body track, obtains hand-written script track when module is write according to user and obtain the corresponding standard letter of hand-written script text
Text, hand-written script track when then being write by characteristic extracting module to user carry out feature extraction to obtain hand-written script
The characteristic information of text, creation module create text according to the characteristic information of hand-written script text and corresponding standard letter text
Library, to create the spy of hand-written script text corresponding to different user based on the different characteristics of the hand-written script of different user
Reference breath and the mapping relations collection of standard letter text, in this way when the hand-written manuscript to some user identifies, by the
Two acquisition modules acquire the image of hand-written manuscript, and are handled the image of hand-written manuscript to obtain by image processing module
The characteristic information of each hand-written script text in hand-written manuscript, then matching module selects the author in text library with hand-written manuscript
The characteristic information of the hand-written script text of corresponding user and the mapping relations collection of standard letter text, and by calling selection
Mapping relations collection the characteristic information of hand-written script text each in hand-written manuscript is matched, it is every to obtain in hand-written manuscript
The corresponding standard letter text of a hand-written script text, ultimately produces module according to hand-written script text pair each in hand-written manuscript
The standard letter text answered generates the corresponding standard letter manuscript of hand-written manuscript, so as to realize the handwritten word to hand-written manuscript
Body is quickly identified, and accuracy of identification is greatly improved, and is had to the quick and precisely identification of hand-written manuscript important
Practical significance.
In order to achieve the above objectives, a kind of terminal device that fifth aspect present invention embodiment proposes, including above-mentioned hand-written
Character Font Recognition system.
Terminal device according to an embodiment of the present invention knows hand-written manuscript by above-mentioned hand-written script identifying system
When other, it can be realized and the hand-written script of hand-written manuscript is quickly identified, and substantially increase accuracy of identification, error is reduced to
It is minimum, there is important practical significance to the quick and precisely identification of hand-written manuscript.
Detailed description of the invention
Fig. 1 is the flow chart according to the hand-written script recognition methods of the embodiment of the present invention；
Fig. 2 is the feature information extraction process of the hand-written script for each word write according to the user of one embodiment of the invention
Figure；
Fig. 3 is the block diagram according to the hand-written script identifying system of the embodiment of the present invention；
Fig. 4 is the block diagram according to the terminal device of one embodiment of the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, it is intended to is used to explain the present invention, and is not considered as limiting the invention.
Existing hand-written script recognition methods, be all mostly stroke when writing each word by acquiring any user or
Track carries out Text region, is computer standard text by the text conversion of hand-written script.However, face to hand-written manuscript into
When row identification, since everyone hand-written script is all different, i.e. the characteristic of everyone hand-written script is not identical, the prior art
It is difficult to accomplish the high-precision identification to hand-written script, false recognition rate is higher.
The recognition methods for the hand-written script that the embodiment of the present invention proposes, exactly not using the characteristic of everyone hand-written script
Together, hand-written script training is carried out by acquiring the hand-written script track of certain specific users, to generate these specific users
In everyone corresponding hand-written script text characteristic information and standard letter text mapping relations collection, and then create text library,
In this way when identifying the hand-written manuscript of these specific users, the image of hand-written manuscript is acquired, and carry out to the image of hand-written manuscript
It handles to obtain the characteristic information of each hand-written script text in hand-written manuscript, then selects the work in text library with hand-written manuscript
The characteristic information of the hand-written script text of the corresponding user of person and the mapping relations collection of standard letter text, and by calling choosing
The mapping relations collection selected matches the characteristic information of hand-written script text each in hand-written manuscript, to obtain in hand-written manuscript
The corresponding standard letter text of each hand-written script text, finally according to the corresponding mark of hand-written script text each in hand-written manuscript
Quasi- font file generates the corresponding standard letter manuscript of hand-written manuscript, so as to realize the hand-written script progress to hand-written manuscript
Quickly identification, and accuracy of identification is greatly improved, and has important practical meaning to the quick and precisely identification of hand-written manuscript
Justice.
In order to better understand the above technical scheme, the exemplary reality that the present invention will be described in more detail below with reference to accompanying drawings
Apply example.Although showing exemplary embodiment of the present invention in attached drawing, it being understood, however, that may be realized in various forms this hair
It is bright and should not be limited by the embodiments set forth herein.It is to be able to thoroughly understand this on the contrary, providing these embodiments
Invention, and the scope of the present invention can be fully disclosed to those skilled in the art.
In order to better understand the above technical scheme, in conjunction with appended figures and specific embodiments to upper
Technical solution is stated to be described in detail.
Fig. 1 is the flow chart according to the hand-written script recognition methods of the embodiment of the present invention.As shown in Figure 1, the hand-written script
Recognition methods the following steps are included:
S1, hand-written script track when acquisition user writes, and hand-written script track when being write according to user obtains handwritten word
The corresponding standard letter text of body text.
In an embodiment of the present invention, a training text can be chosen, then there is hand-write recognition function using existing
Electronic equipment training text that user is write in text carry out recognition training, i.e., reality is come by acquisition hand-written script track
It is identified when existing training user is when writing text, to obtain the corresponding standard letter text of trained hand-written script text.
S2, hand-written script track when writing to user carry out feature extraction to obtain the hand-written script text of user's writing
Characteristic information, and text library is created according to the characteristic information of hand-written script text and corresponding standard letter text, wherein text
This library includes the characteristic information of the hand-written script text of at least one user and the mapping relations collection of standard letter text.
It in one embodiment of the invention, can be according to the hand-written script for being trained to the trained text of each of user's writing
Track, to obtain the picture for the hand-written script text that the training user writes, the hand-written script text which is write
Picture handled obtained with carrying out feature extraction the training user writing hand-written script text characteristic information, such as
The writing distributed intelligence of each hand-written script text is then based on the feature letter of the hand-written script text for being trained to user's writing
Cease with the relationship between corresponding standard computer text establish the characteristic information of the hand-written script text for being trained to user with
The mapping relations collection of standard letter text, and stored, and then create the hand-written script text comprising at least one user
The text library of the mapping relations collection of characteristic information and standard letter text, wherein the characteristic information of each hand-written script text
It is associated with the mapping relations collection of standard letter text and corresponding user information, so that the text library formed may include each use
The characteristic information of the hand-written script text at family and the mapping relations collection of standard letter text.
Specifically, each trained text can repeatedly be write by being trained to user, and trained text each in this way can repeatedly be changed
Generation training, to establish the mapping relations collection of the characteristic information and standard letter text that are trained to the hand-written script text of user.
It is, of course, understood that since Chinese characters in common use are basic just in 3500 words or so, each it is trained to user
Only need to train the hand-written script of this 3500 word, so that it may create the characteristic information and standard letter of corresponding hand-written script text
The mapping relations collection of text.
S3 acquires the image of hand-written manuscript, and is handled the image of hand-written manuscript each in hand-written manuscript to obtain
The characteristic information of hand-written script text.
According to one embodiment of present invention, the image of every page of manuscript in hand-written manuscript can be acquired by photographic device, so
The image of every page of manuscript is handled afterwards, such as corresponding to obtain each word by the way that the image of every page of manuscript is carried out block division
Block image, then feature extraction is carried out to corresponding block of image of each word to obtain each hand-written script text in every page of manuscript
Characteristic information.
It should be noted that the mode for carrying out feature extraction to corresponding block of image of each word can be with above-mentioned to training user
The picture of the hand-written script text of writing handled it is identical in a manner of carrying out feature extraction, it is hereby achieved that hand-written manuscript
In each hand-written script text writing distributed intelligence.
S4, select text library in user corresponding with the author of hand-written manuscript hand-written script text characteristic information with
The mapping relations collection of standard letter text, and by calling the mapping relations collection of selection to hand-written script text each in hand-written manuscript
The characteristic information of word is matched, to obtain the corresponding standard letter text of each hand-written script text in hand-written manuscript.
Specifically, the feature of the hand-written script text of corresponding user is selected based on the information of user each in text library
Then the mapping relations collection of information and standard letter text calls the mapping relations collection of selection, will be each hand-written in hand-written manuscript
The characteristic information of font file concentrates the characteristic information progress of hand-written script text of the user similar to the mapping relations of selection
Degree matching, so as to rapidly and accurately identify the corresponding standard letter text of each hand-written script text in hand-written manuscript.
It is corresponding to generate hand-written manuscript according to the corresponding standard letter text of hand-written script text each in hand-written manuscript by S5
Standard letter manuscript.
Specifically, by every in the corresponding standard letter text of hand-written script text each in hand-written manuscript and hand-written manuscript
The position of a hand-written script text is associated, so that the corresponding standard letter manuscript of hand-written manuscript is generated, such as Song typeface manuscript,
Regular script manuscript etc..
Hand-written script recognition methods according to an embodiment of the present invention, hand-written script track when being write by acquisition user,
And hand-written script track when being write according to user obtains the corresponding standard letter text of hand-written script text, then to user's book
Hand-written script track when writing carries out feature extraction to obtain the characteristic information of the hand-written script text of user's writing, then according to
The corresponding standard letter text of the characteristic information and hand-written script text of hand-written script text creates text library, thus based on difference
The different characteristics of the hand-written script of user create the characteristic information and standard word of hand-written script text corresponding to different user
The mapping relations collection of body text, in this way when the hand-written manuscript to some user identifies, by the figure for acquiring hand-written manuscript
Picture, and the image of hand-written manuscript is handled to obtain the characteristic information of each hand-written script text in hand-written manuscript, then
Select the characteristic information of the hand-written script text of user corresponding with the author of hand-written manuscript and standard letter text in text library
The mapping relations collection of word, and by calling the mapping relations collection of selection to believe the feature of hand-written script text each in hand-written manuscript
Breath is matched, to obtain the corresponding standard letter text of each hand-written script text in hand-written manuscript, finally according to hand-written book
The corresponding standard letter manuscript of the hand-written manuscript of each corresponding standard letter text generation of hand-written script text in original text, so as to
Realization quickly identifies the hand-written script of hand-written manuscript, and accuracy of identification is greatly improved, to hand-written manuscript
Quick and precisely identification has important practical significance.
According to one embodiment of present invention, in step s 2, hand-written script track when writing to the user carries out
Feature extraction with obtain user writing hand-written script text characteristic information, comprising: according to the user write when it is hand-written
Font track generates the image for the hand-written script text that user writes；It converts image corresponding to the hand-written script text to
Grayscale image；HOG(Histogram of Oriented is carried out to grayscale image corresponding to the hand-written script text
Gradient, histograms of oriented gradients) processing is to obtain HOG feature, so as to using HOG feature as the hand-written script text
Characteristic information.
Specifically, in one embodiment of the invention, as shown in Fig. 2, the feature for the hand-written script text that user writes
The extraction step of information includes:
S10 obtains each word hand-written script image that user writes, i.e., when user writes each trained text, directly intercepts
The hand-written script track of each trained text, so as to generate the image of hand-written script text.
The color space of character image is standardized by S11, hand-written script image procossing using Gamma correction method,
To obtain standardized images sample, such as carry out grayscale image conversion.
S12 calculates sample image gradient, that is, calculates separately each pixel abscissa in standardized images sample and indulge
The gradient of coordinate direction, and calculate according to the gradient of each pixel abscissa and ordinate direction the ladder of each location of pixels
Spend direction value.
S13 carries out cutting to hand-written script image, i.e., the original image of character image sample is divided into n cell factory
The size of cell, each cell factory cell are m*m, and a*a adjacent cell factory cell groups are become a connection section
Block, adjacent connection section block have overlapping overlap, construct the feature vector of each cell factory cell.Its
In, n >=4, a >=2 n > m >=3, m >.
S14, for each cell factory cell construct gradient orientation histogram, i.e., using the histogram of b binary system bin come
The gradient information of statistical picture sampled pixel, that is, it is divided into b direction block for 360 degree of gradient direction of cell factory cell,
Projection, this available cell factory are weighted in histogram with gradient direction to each pixel in cell factory cell
The gradient orientation histogram of cell, gradient magnitude are exactly the weight as projection.Wherein, b >=2.
S15 constructs each connection section block gradient orientation histogram, i.e., have in a connection section block more
The feature vector of cell factory cell be together in series, obtain the HOG feature of connection section block.
S16, the HOG feature normalization of connection section block, i.e., by the HOG feature degree of comparing of connection section block
Normalized, to obtain the normalization HOG feature of connection section block.
S17 collects HOG feature, i.e., collects the normalization HOG feature of all connection section block, is combined into HOG spy
Levy matrix, the characteristic information as hand-written script text.
The gamma of an example according to the present invention, Gamma correction method compresses formula are as follows: I (x, y)=I (x, y)gamma,
Wherein gamma is preset value, such as can be 0.45 or so.
Wherein, when calculating sample image gradient, pixel (x, y) can be used following formula and be calculated in image:
Gx(x, y)=H (x+1, y)-H (x-1, y),
Gy(x, y)=H (x, y+1)-H (x, y-1),
G in formulaX(x, y), Gy(x, y), H (x, y) respectively indicate horizontal direction gradient in input picture at pixel (x, y),
Vertical gradient and pixel value, gradient magnitude and gradient direction at pixel (x, y) are respectively as follows:
,
。
Also, adjacent connection section block can have the region overlapping overlap of half.
In the present embodiment, weighted projection is that each pixel is mapped to fixed angular range with gradient direction.It is preferred that
, angular range is 0-360 degree.
In the present embodiment, the HOG feature normalization of connection section block specifically:
If V is the not normalized HOG feature vector of connection section block, normalization factor is set as,
InFor the standardization yield of very little, preventing divisor is 0, and value range is in 1e-3To 5e-2Between effect it is best,For image
Feature vector,Refer toSecond order norm.
Wherein,Value is as follows:If> 0.2, then it is 0.2 that value, which is truncated, recalculates and returns
One changes the factor.
In an embodiment of the present invention, after by normalization, better effect can be obtained to illumination variation and shade.
In one embodiment of the invention, it when being trained to the training text of user's writing, can repeatedly write each
Training text, and feature extraction is carried out to obtain the multiple of hand-written script text to the hand-written script track of training text every time
HOG feature, and characteristic set is established according to multiple HOG features of hand-written script text, using the spy as hand-written script text
Reference breath, then generates the hand for being trained to user according to characteristic value collection and the corresponding standard letter text of hand-written script text
Write the characteristic information of font file and the mapping relations collection of standard letter text.
That is, HOG feature extraction can be carried out to the hand-written script track to be trained that user writes every time is trained to, from
And multiple HOG features of each hand-written script text to be trained are obtained, the distribution situation for being then based on multiple HOG features is formed often
The characteristic set of a hand-written script text to be trained, then by the characteristic set of formation standard corresponding with this hand-written script text
Font file is corresponded to, so as to generate the characteristic set and standard letter text of the hand-written script text for being trained to user
Mapping relations collection.In this way, calling directly the feature of the hand-written script text of the user when identifying the hand-written manuscript of the user
Set and the mapping relations collection of standard letter text, to the carry out characteristic matching of each hand-written script text in hand-written manuscript,
To rapidly and accurately identify each hand-written script text in hand-written manuscript.
According to one embodiment of present invention, the image of the hand-written manuscript is handled to obtain the hand-written manuscript
In each hand-written script text characteristic information, comprising: convert grayscale image for the image of the hand-written manuscript；To described hand-written
The corresponding grayscale image of manuscript is pre-processed to obtain the grayscale image of each hand-written script text in the hand-written manuscript；To described
In hand-written manuscript each hand-written script text grayscale image carry out HOG handle to obtain HOG feature, so as to using HOG feature as
The characteristic information of each hand-written script text in the hand-written manuscript.
In extracting hand-written manuscript when the characteristic information of each hand-written script text, carried out using above-mentioned same mode
HOG feature extraction, is just no longer described in detail here.
Wherein, the corresponding grayscale image of the hand-written manuscript is pre-processed, comprising: ash corresponding to the hand-written manuscript
Degree figure carries out gridding processing to capture the rectangular block of each hand-written script text in the hand-written manuscript.
That is, the image of every page of manuscript in hand-written manuscript is obtained by photographic device, then to the figure of every page of manuscript
As carrying out grayscale image processing, then the corresponding grayscale image of hand-written manuscript is handled using the processing mode of gridding, thus
The rectangular block of available matrix form, the text of the corresponding hand-written script of each rectangular block.Then each rectangular block is carried out
HOG feature extraction, the text of every row hand-written script is identified finally by matched mode line by line, to identify every page of manuscript
The text of hand-written script, and then realize the identification to entire hand-written manuscript, eventually by by hand-written script each in hand-written manuscript
The position of each hand-written script text is associated in the corresponding standard letter text of text and hand-written manuscript, to generate hand-written
The corresponding standard letter manuscript of manuscript.
In another embodiment of the present invention, by calling the mapping relations collection of selection to each hand in hand-written manuscript
When writing the characteristic information of font file and being matched, each hand-written script text in hand-written manuscript is directly obtained, and according to hand-written
Each hand-written script text generates the electronic edition manuscript of hand-written manuscript in manuscript.
That is, the hand-written script text of hand-written manuscript can be directly acquired after the hand-written script for identifying hand-written manuscript
Word is then based on the hand-written script text of hand-written manuscript to form the hand-written manuscript of electronic edition, and what is finally presented is electronic edition
The manuscript of hand-written script, expands application range, and the space of more more options is improved for user.
In yet another embodiment of the present invention, above-mentioned hand-written script recognition methods further include: obtain standard letter book
Original text；Believed according to the feature of each standard letter text in standard letter manuscript and the hand-written script text of the different user of selection
The mapping relations collection of breath and standard letter text obtains the hand-written manuscript of the corresponding different user of standard letter manuscript.
In other words, after generating standard letter manuscript, the hand-written script text of other users in selection text library can also be passed through
The characteristic information of word and the mapping relations collection of standard letter text, then by the text of each standard letter in standard letter manuscript
Word mapping relations collection corresponding with any one user of selection matches, corresponding so as to generate standard letter manuscript
The hand-written manuscript of different user, and then hand-written manuscript can be showed in the form of the hand-written script of different user, it improves and reads
The user experience of person.
Wherein, it should be noted that electronic edition manuscript is either showed with the hand-written script of itself author, or with
The hand-written script of other users is showed, and is required to obtain author/user authorization and is improved so as to prevent from forging
Safety.
The embodiment of the present invention also proposed a kind of computer readable storage medium, be stored thereon with hand-written script identification journey
Sequence, the hand-written script recognizer realize hand-written script recognition methods as described above when being executed by processor.
Computer readable storage medium according to an embodiment of the present invention, the hand-written script recognizer of storage is by processor
When execution, above-mentioned hand-written script recognition methods is realized, so as to realize that the hand-written script to hand-written manuscript is quickly known
Not, and accuracy of identification is substantially increased, error is preferably minimized, there is important reality to the quick and precisely identification of hand-written manuscript
Border meaning.
In addition, a kind of terminal device that the embodiment of the present invention proposes, including memory, processor and it is stored in the storage
On device and the hand-written script recognizer that can run on the processor, the processor execute the hand-written script and identify journey
Hand-written script recognition methods as described above is realized when sequence.
The terminal device can be mobile terminal such as mobile phone, tablet computer etc., be also possible to other with filming apparatus
And/or the equipment of storage device.
Terminal device according to an embodiment of the present invention can be realized pair by executing above-mentioned hand-written script recognition methods
The hand-written script of hand-written manuscript is quickly identified, and substantially increases accuracy of identification, error is reduced to it is minimum, to hand-written
The quick and precisely identification of manuscript has important practical significance.
Fig. 3 is the block diagram according to the hand-written script identifying system of the embodiment of the present invention.As shown in figure 3, this is hand-written
Character Font Recognition system 100 includes: the first acquisition module 11, obtains module 10, characteristic extracting module 20, creation module 30, second
Acquisition module 40, image processing module 50, matching module 60 and generation module 70.
Wherein, the first acquisition module 11 is used to acquire hand-written script track when user writes；It obtains module 10 and is used for root
Hand-written script track when writing according to user obtains the corresponding standard letter text of hand-written script text；Characteristic extracting module 20 is used
Hand-written script track when writing to user carries out feature extraction to obtain the feature letter of the hand-written script text of user's writing
Breath；Creation module 30 is used for the corresponding standard letter text of characteristic information and hand-written script text according to the hand-written script text
Word creates text library, wherein the text library includes the characteristic information and standard word of the hand-written script text of at least one user
The mapping relations collection of body text；Acquisition module 40 is used to acquire the image of hand-written manuscript；Image processing module 50 is used for described
The image of hand-written manuscript is handled to obtain the characteristic information of each hand-written script text in the hand-written manuscript；Matching module
60 for selecting the feature of the hand-written script text of user corresponding with the author of the hand-written manuscript in the text library to believe
The mapping relations collection of breath and standard letter text, and by calling the mapping relations collection of selection to each hand in the hand-written manuscript
The characteristic information for writing font file is matched, to obtain the corresponding standard word of each hand-written script text in the hand-written manuscript
Body text；Generation module 70 is used to be generated according to the corresponding standard letter text of hand-written script text each in the hand-written manuscript
The corresponding standard letter manuscript of the hand-written manuscript.
Hand-written script identifying system according to an embodiment of the present invention acquires hand when user writes by the first acquisition module
It writes body track, obtains hand-written script track when module is write according to user and obtain the corresponding standard letter of hand-written script text
Text, hand-written script track when then being write by characteristic extracting module to user carry out feature extraction to obtain hand-written script
The characteristic information of text, creation module create text according to the characteristic information of hand-written script text and corresponding standard letter text
Library, to create the spy of hand-written script text corresponding to different user based on the different characteristics of the hand-written script of different user
Reference breath and the mapping relations collection of standard letter text, in this way when the hand-written manuscript to some user identifies, by the
Two acquisition modules acquire the image of hand-written manuscript, and are handled the image of hand-written manuscript to obtain by image processing module
The characteristic information of each hand-written script text in hand-written manuscript, then matching module selects the author in text library with hand-written manuscript
The characteristic information of the hand-written script text of corresponding user and the mapping relations collection of standard letter text, and by calling selection
Mapping relations collection the characteristic information of hand-written script text each in hand-written manuscript is matched, it is every to obtain in hand-written manuscript
The corresponding standard letter text of a hand-written script text, ultimately produces module according to hand-written script text pair each in hand-written manuscript
The standard letter text answered generates the corresponding standard letter manuscript of hand-written manuscript, so as to realize the handwritten word to hand-written manuscript
Body is quickly identified, and accuracy of identification is greatly improved, and is had to the quick and precisely identification of hand-written manuscript important
Practical significance.
In addition, as shown in figure 4, the embodiment of the present invention also proposed a kind of terminal device 200 comprising above-mentioned handwritten word
Body identifying system 100.
Terminal device according to an embodiment of the present invention knows hand-written manuscript by above-mentioned hand-written script identifying system
When other, it can be realized and the hand-written script of hand-written manuscript is quickly identified, and substantially increase accuracy of identification, error is reduced to
It is minimum, there is important practical significance to the quick and precisely identification of hand-written manuscript.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It should be noted that in the claims, any reference symbol between parentheses should not be configured to power
The limitation that benefit requires.Word "comprising" does not exclude the presence of component or step not listed in the claims.Before component
Word "a" or "an" does not exclude the presence of multiple such components.The present invention can be by means of including several different components
It hardware and is realized by means of properly programmed computer.In the unit claims listing several devices, these are filled
Several in setting, which can be, to be embodied by the same item of hardware.The use of word first, second, and third is not
Indicate any sequence.These words can be construed to title.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
In the description of the present invention, it is to be understood that, term " first ", " second " are used for description purposes only, and cannot
It is interpreted as indication or suggestion relative importance or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include one or more of the features.In the description of the present invention,
The meaning of " plurality " is two or more, unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；It can be mechanical connect
It connects, is also possible to be electrically connected；It can be directly connected, can also can be in two elements indirectly connected through an intermediary
The interaction relationship of the connection in portion or two elements.It for the ordinary skill in the art, can be according to specific feelings
Condition understands the concrete meaning of above-mentioned term in the present invention.
In the present invention unless specifically defined or limited otherwise, fisrt feature in the second feature " on " or " down " can be with
It is that the first and second features directly contact or the first and second features pass through intermediary mediate contact.Moreover, fisrt feature exists
Second feature " on ", " top " and " above " but fisrt feature be directly above or diagonally above the second feature, or be merely representative of
First feature horizontal height is higher than second feature.Fisrt feature can be under the second feature " below ", " below " and " below "
One feature is directly under or diagonally below the second feature, or is merely representative of first feature horizontal height less than second feature.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
It is interpreted as that identical embodiment or example must be directed to.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
Although the embodiments of the present invention has been shown and described above, it is to be understood that above-described embodiment is example
Property, it is not considered as limiting the invention, those skilled in the art within the scope of the invention can be to above-mentioned
Embodiment is changed, modifies, replacement and variant.
Claims (10)
1. a kind of hand-written script recognition methods, which comprises the following steps:
Hand-written script track when acquiring hand-written script track when user writes, and being write according to the user obtains handwritten word
The corresponding standard letter text of body text；
Hand-written script track when writing to the user carries out feature extraction to obtain the hand-written script text of user's writing
Characteristic information, and according to the characteristic information of the hand-written script text and the corresponding standard letter text of the hand-written script text
Create text library, wherein the text library includes the characteristic information and standard letter of the hand-written script text of at least one user
The mapping relations collection of text；
The image of hand-written manuscript is acquired, and the image of the hand-written manuscript is handled each in the hand-written manuscript to obtain
The characteristic information of hand-written script text；
Select the characteristic information of the hand-written script text of user corresponding with the author of the hand-written manuscript in the text library
With the mapping relations collection of standard letter text, and by calling the mapping relations collection of selection to each hand-written in the hand-written manuscript
The characteristic information of font file is matched, to obtain the corresponding standard letter of each hand-written script text in the hand-written manuscript
Text；
It is corresponding that the hand-written manuscript is generated according to the corresponding standard letter text of hand-written script text each in the hand-written manuscript
Standard letter manuscript.
2. hand-written script recognition methods as described in claim 1, which is characterized in that hand-written script when being write to the user
Track carries out feature extraction to obtain the characteristic information of the hand-written script text of user's writing, comprising:
Hand-written script track when being write according to the user generates the image for the hand-written script text that user writes；
Grayscale image is converted by image corresponding to the hand-written script text；
HOG processing is carried out to obtain HOG feature, to make HOG feature to grayscale image corresponding to the hand-written script text
For the characteristic information of the hand-written script text.
3. hand-written script recognition methods as claimed in claim 1 or 2, which is characterized in that the image of the hand-written manuscript into
Row is handled to obtain the characteristic information of each hand-written script text in the hand-written manuscript, comprising:
Grayscale image is converted by the image of the hand-written manuscript；
The corresponding grayscale image of the hand-written manuscript is pre-processed to obtain each hand-written script text in the hand-written manuscript
Grayscale image；
It carries out HOG to the grayscale image of each hand-written script text in the hand-written manuscript to handle to obtain HOG feature, to incite somebody to action
Characteristic information of the HOG feature as each hand-written script text in the hand-written manuscript.
4. hand-written script recognition methods as claimed in claim 3, which is characterized in that grayscale image corresponding to the hand-written manuscript
It is pre-processed, comprising:
Gridding processing is carried out to capture each hand-written script in the hand-written manuscript to the corresponding grayscale image of the hand-written manuscript
The rectangular block of text.
5. hand-written script recognition methods as described in claim 1, which is characterized in that in the mapping relations collection by calling selection
When being matched to the characteristic information of each hand-written script text in the hand-written manuscript, directly obtain every in the hand-written manuscript
A hand-written script text, and generate according to hand-written script text each in the hand-written manuscript electronic edition book of the hand-written manuscript
Original text.
6. hand-written script recognition methods according to any one of claims 1 to 5, which is characterized in that further include:
Obtain standard letter manuscript；
According to the hand-written script text of each standard letter text in the standard letter manuscript and the different user of selection
The mapping relations collection of characteristic information and standard letter text obtains the hand-written book of the corresponding different user of the standard letter manuscript
Original text.
7. a kind of computer readable storage medium, which is characterized in that be stored thereon with hand-written script recognizer, the hand-written script
Such as hand-written script recognition methods of any of claims 1-6 is realized when recognizer is executed by processor.
8. a kind of terminal device, which is characterized in that including memory, processor and be stored on the memory and can be described
The hand-written script recognizer run on processor, the processor realize such as right when executing the hand-written script recognizer
It is required that hand-written script recognition methods described in any one of 1-6.
9. a kind of hand-written script identifying system characterized by comprising
First acquisition module, for acquiring hand-written script track when user writes；
Module is obtained, hand-written script track when for writing according to the user obtains the corresponding standard word of hand-written script text
Body text；
Characteristic extracting module, hand-written script track when for writing to the user carry out feature extraction to obtain user's writing
Hand-written script text characteristic information；
Creation module, for the characteristic information and the corresponding standard word of the hand-written script text according to the hand-written script text
Body text creates text library, wherein the text library includes the characteristic information and mark of the hand-written script text of at least one user
The mapping relations collection of quasi- font file；
Second acquisition module, for acquiring the image of hand-written manuscript；
Image processing module is handled each hand-written in the hand-written manuscript to obtain for the image to the hand-written manuscript
The characteristic information of font file；
Matching module, for selecting the hand-written script text of user corresponding with the author of the hand-written manuscript in the text library
The characteristic information of word and the mapping relations collection of standard letter text, and by calling the mapping relations collection of selection to the hand-written book
The characteristic information of each hand-written script text is matched in original text, to obtain each hand-written script text pair in the hand-written manuscript
The standard letter text answered；
Generation module, for according to the corresponding standard letter text generation of hand-written script text each in the hand-written manuscript
The corresponding standard letter manuscript of hand-written manuscript.
10. a kind of terminal device, which is characterized in that including hand-written script identifying system as claimed in claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810977893.3A CN109446873A (en) | 2018-08-27 | 2018-08-27 | Hand-written script recognition methods, system and terminal device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810977893.3A CN109446873A (en) | 2018-08-27 | 2018-08-27 | Hand-written script recognition methods, system and terminal device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109446873A true CN109446873A (en) | 2019-03-08 |
Family
ID=65532767
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810977893.3A Pending CN109446873A (en) | 2018-08-27 | 2018-08-27 | Hand-written script recognition methods, system and terminal device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109446873A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110046336A (en) * | 2019-04-15 | 2019-07-23 | 南京孜博汇信息科技有限公司 | Position encoded sheet disposal method and system |
| CN110059308A (en) * | 2019-04-15 | 2019-07-26 | 南京孜博汇信息科技有限公司 | Position encoded form data statistical system |
| CN110070019A (en) * | 2019-04-15 | 2019-07-30 | 南京孜博汇信息科技有限公司 | Position encoded form data validity discrimination method and device |
| CN110070020A (en) * | 2019-04-15 | 2019-07-30 | 南京孜博汇信息科技有限公司 | Position encoded form data read method and system |
| CN110197238A (en) * | 2019-04-15 | 2019-09-03 | 广州企图腾科技有限公司 | A kind of recognition methods, system and the terminal device of font classification |
| CN111079501A (en) * | 2019-07-17 | 2020-04-28 | 广东小天才科技有限公司 | Character recognition method and electronic equipment |
| CN111079490A (en) * | 2019-05-29 | 2020-04-28 | 广东小天才科技有限公司 | Recognition method for written words and electronic equipment |
| CN111523537A (en) * | 2020-04-13 | 2020-08-11 | 联讯益康医疗信息技术(武汉)有限公司 | Character recognition method, storage medium and system |
| CN112668468A (en) * | 2020-12-28 | 2021-04-16 | 北京翰立教育科技有限公司 | Photographing evaluation method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1549192A (en) * | 2003-05-16 | 2004-11-24 | 中国地质大学（武汉） | Computer identification and automatic inputting method for hand writing character font |
| CN101276414A (en) * | 2008-04-07 | 2008-10-01 | 宇龙计算机通信科技(深圳)有限公司 | Method and device of hand-written character recognition |
| CN107133647A (en) * | 2017-05-04 | 2017-09-05 | 湘潭大学 | A kind of quick Manuscripted Characters Identification Method |
-
2018
- 2018-08-27 CN CN201810977893.3A patent/CN109446873A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1549192A (en) * | 2003-05-16 | 2004-11-24 | 中国地质大学（武汉） | Computer identification and automatic inputting method for hand writing character font |
| CN101276414A (en) * | 2008-04-07 | 2008-10-01 | 宇龙计算机通信科技(深圳)有限公司 | Method and device of hand-written character recognition |
| CN107133647A (en) * | 2017-05-04 | 2017-09-05 | 湘潭大学 | A kind of quick Manuscripted Characters Identification Method |
Non-Patent Citations (2)
| Title |
|---|
| 潇湘工作室: "《Access2002中文版从入门到精通》", 31 October 2001, 人民邮电出版社 * |
| 迈克尔•劳伦斯•福克纳 等: "《交际有道:如何拥有更多更长久的朋友与合作》", 31 January 2015, 中国青年出版社 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110046336A (en) * | 2019-04-15 | 2019-07-23 | 南京孜博汇信息科技有限公司 | Position encoded sheet disposal method and system |
| CN110059308A (en) * | 2019-04-15 | 2019-07-26 | 南京孜博汇信息科技有限公司 | Position encoded form data statistical system |
| CN110070019A (en) * | 2019-04-15 | 2019-07-30 | 南京孜博汇信息科技有限公司 | Position encoded form data validity discrimination method and device |
| CN110070020A (en) * | 2019-04-15 | 2019-07-30 | 南京孜博汇信息科技有限公司 | Position encoded form data read method and system |
| CN110197238A (en) * | 2019-04-15 | 2019-09-03 | 广州企图腾科技有限公司 | A kind of recognition methods, system and the terminal device of font classification |
| CN110070020B (en) * | 2019-04-15 | 2023-07-14 | 南京孜博汇信息科技有限公司 | Method and system for reading position coding form data |
| CN110197238B (en) * | 2019-04-15 | 2023-09-26 | 广州企图腾科技有限公司 | Font type identification method, system and terminal equipment |
| CN111079490A (en) * | 2019-05-29 | 2020-04-28 | 广东小天才科技有限公司 | Recognition method for written words and electronic equipment |
| CN111079501A (en) * | 2019-07-17 | 2020-04-28 | 广东小天才科技有限公司 | Character recognition method and electronic equipment |
| CN111079501B (en) * | 2019-07-17 | 2023-11-24 | 广东小天才科技有限公司 | Character recognition method and electronic equipment |
| CN111523537A (en) * | 2020-04-13 | 2020-08-11 | 联讯益康医疗信息技术(武汉)有限公司 | Character recognition method, storage medium and system |
| CN112668468A (en) * | 2020-12-28 | 2021-04-16 | 北京翰立教育科技有限公司 | Photographing evaluation method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109446873A (en) | Hand-written script recognition methods, system and terminal device | |
| CN109299663A (en) | Hand-written script recognition methods, system and terminal device | |
| US20190180154A1 (en) | Text recognition using artificial intelligence | |
| US20190304066A1 (en) | Synthesis method of chinese printed character images and device thereof | |
| CN109933756A (en) | Image based on OCR turns shelves method, apparatus, equipment and readable storage medium storing program for executing | |
| CN111291629A (en) | Method and device for recognizing text in image, computer equipment and computer storage medium | |
| CN111476067A (en) | Character recognition method and device for image, electronic equipment and readable storage medium | |
| RU2726185C1 (en) | Detecting and identifying objects on images | |
| CN109343920B (en) | Image processing method and device, equipment and storage medium thereof | |
| CN108846385B (en) | Image identification and correction method and device based on convolution-deconvolution neural network | |
| CN109784342A (en) | A kind of OCR recognition methods and terminal based on deep learning model | |
| CN107980139A (en) | Document scanner | |
| CN109522898A (en) | Handwriting samples picture mask method, device, computer equipment and storage medium | |
| CN111460782A (en) | Information processing method, device and equipment | |
| JP6000992B2 (en) | Document file generation apparatus and document file generation method | |
| CN116311256A (en) | Image processing method and device, and training method and device for recognition network | |
| CN110363190A (en) | A kind of character recognition method, device and equipment | |
| CN113436222A (en) | Image processing method, image processing apparatus, electronic device, and storage medium | |
| CN114170468B (en) | Text recognition method, storage medium and computer terminal | |
| CN111062262B (en) | Invoice recognition method and invoice recognition device | |
| US20230110558A1 (en) | Systems and methods for detecting objects | |
| CN111783881A (en) | Scene adaptation learning method and system based on pre-training model | |
| CN112560855A (en) | Image information extraction method and device, electronic equipment and storage medium | |
| JP2016009395A (en) | Document file generation device and document file generation method | |
| CN113936288A (en) | Inclined text direction classification method and device, terminal equipment and readable storage medium |
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 |
Application publication date: 20190308 |
|
| RJ01 | Rejection of invention patent application after publication |