CN105589650A - Page navigation method and device - Google Patents
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- CN105589650A CN105589650A CN201410650309.5A CN201410650309A CN105589650A CN 105589650 A CN105589650 A CN 105589650A CN 201410650309 A CN201410650309 A CN 201410650309A CN 105589650 A CN105589650 A CN 105589650A
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Abstract
The invention discloses a page navigation method and device. The page navigation method comprises the following steps of collecting handwriting data used for page navigation; matching the handwriting data used for page navigation and pre-stored standard handwriting graphics data in a handwriting graphics library; if matching is successful, obtaining a page address corresponding to the matched standard handwriting graphics data; and executing an operation to display a page pointed by the page address according to the page address. By adopting the method provided by the invention, page navigation can be carried out through the handwriting to avoid passing through middle transition pages one by one to arrive at the appointed page, so that the simple and quick page navigation is realized and the convenience for user operation is enhanced.
Description
Technical field
The present invention relates to touch screen technology field, be specifically related to a kind of page navigation method and device.
Background technology
Along with computer is in the extensive use of every field, the software based on graphic user interface is increasing,For example: operating system, application program etc., various software provides colourful service for user. TraditionGround, in software running process, user wants to reach the page of anticipation, all needs to click some middle mistakesThe degree page can enter into the page of anticipation. For example,, at the operating system field of mobile terminal, Yong HuWhen operating handset, need to reset wifi, for this reason, need the step of clicking to comprise: desktop → arrange icon →The wifi of page the inside is set. Similarly, in application domain, when user is at Alipay page replacement mobile phoneWhen password, need the step of clicking to comprise: homepage → wealth → user head portrait → Password Management → cell phone password.As can be seen here, traditional page navigation method operating process is comparatively complicated, thus cause that user operates convenientProperty is poor.
Conventional quick page navigation method is an one-touch page navigation method, sets in advance one that is:Individual shortcut or shortcut icon, in the time that needs are quickly navigate to the page of anticipation, click corresponding shortcut orShortcut icon. Adopt one-touch page navigation method, on the one hand, from using shortcut angle,The number of keys that can arrange is limited; On the other hand, from using shortcut icon angle, due to screenSpace be limited, thereby the shortcut icon quantity that can arrange in limited screen space is limited,And use shortcut icon also to need to open in advance the page at shortcut icon place. In sum, one-touchThere is can only magnitude setting less shortcut or the problem of shortcut icon in page navigation method.
Along with scientific and technical development, increasing electronic equipment has the function of touch-screen. Touch-screen is doneFor a kind of up-to-date computer input apparatus, it is the simplest, convenient, natural a kind of man-machine interaction side at presentFormula. Need not learn, everybody can use, and is the magic power of touch-screen maximum, this point be no matter keyboard orMouse, all cannot be in contrast. How to utilize touch-screen can gather the feature of user's touch gestures, by itBe applied in the problem that becomes a needs solution in page navigation.
Summary of the invention
The invention provides a kind of page navigation method and device, cannot pass through person's handwriting figure to solve prior artCarry out the problem of page navigation.
The invention provides a kind of page navigation method, comprising:
Gather the handwriting data for page navigation;
Standard handwriting figure figurate number by the described handwriting data for page navigation with the person's handwriting shape library prestoringAccording to mating;
If the match is successful, obtain the page address corresponding with the described standard handwriting graph data mating;
According to described page address, carry out the operation that shows the page pointing to described page address.
Optionally, described by the described handwriting data for page navigation and the person's handwriting shape library that prestoresBefore standard handwriting graph data mates, also comprise:
Described in filtering for the noise data of the handwriting data of page navigation.
Optionally, abscissa value and the ordinate value of the pixel in described standard handwriting graph data are normalizingsThe value of changing;
Described by the standard handwriting of the described handwriting data for page navigation and the person's handwriting shape library that prestoresBefore graph data mates, also comprise:
Abscissa value and the ordinate value of each pixel to the described handwriting data for page navigation doNormalized processing.
Optionally, described by the mark of the described handwriting data for page navigation and the person's handwriting shape library that prestoresAccurate person's handwriting graph data mates and comprises:
Calculate one by one standard handwriting graph data and described for the page described in each in described person's handwriting shape libraryThe figure diversity factor of the handwriting data of navigation;
Minimum figure diversity factor and default figure diversity factor threshold value are compared, if be less than or equal to instituteState figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, each of the described handwriting data for page navigation and described standard handwriting graph dataPixel is the time interval by first pixel of abscissa value, ordinate value, this pixel and person's handwriting,And the stroke number of this pixel in person's handwriting represents.
Optionally, the described abscissa value of the pixel in described standard handwriting graph data, ordinate value andThe described time interval is normalized value;
Described by the standard handwriting of the described handwriting data for page navigation and the person's handwriting shape library that prestoresBefore graph data mates, also comprise:
The abscissa value of each pixel to the described handwriting data for page navigation, ordinate value andThe described time interval is done normalized processing.
Optionally, described by the mark of the described handwriting data for page navigation and the person's handwriting shape library that prestoresAccurate person's handwriting graph data mates and comprises:
Read each stroke data of the described handwriting data for page navigation by stroke according to input sequence, willThe current described stroke data reading is as person's handwriting graph data to be matched;
Judge and in described person's handwriting shape library, whether have the institute matching with described person's handwriting graph data to be matchedState standard handwriting graph data; If so, judge that the match is successful;
If not, judgement described in whether there is described person's handwriting to be matched for the handwriting data of page navigationNext stroke data of graph data; If there is described next stroke data, by described person's handwriting to be matchedGraph and data revision is the figure figurate number of described person's handwriting graph data to be matched and described next stroke data compositionAccording to, and rejudge in described person's handwriting shape library, whether exist and described person's handwriting graph data to be matched mutuallyThe described standard handwriting graph data of joining.
Optionally, describedly judge in described person's handwriting shape library whether exist and described person's handwriting figure figurate number to be matchedComprise according to the described standard handwriting graph data matching:
Calculate one by one standard handwriting graph data and described to be matched described in each in described person's handwriting shape libraryThe figure diversity factor of person's handwriting graph data;
Minimum figure diversity factor and default figure diversity factor threshold value are compared, if be less than or equal to instituteState figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, described calculate one by one described in each in described person's handwriting shape library standard handwriting graph data withThe figure diversity factor of described person's handwriting graph data to be matched comprises:
The described abscissa value of the pixel comprising according to described person's handwriting graph data to be matched, described vertical seatScale value and the described time interval, generate the oscillogram of the abscissa dimension of described person's handwriting graph data to be matchedOscillogram with ordinate dimension;
The described abscissa value of the pixel comprising according to described standard handwriting graph data, described ordinate valueWith the described time interval, generate oscillogram and the ordinate of the abscissa dimension of described standard handwriting graph dataThe oscillogram of dimension;
Calculate oscillogram and the described standard handwriting figure of the abscissa dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the abscissa dimension of graphic data, as the first waveform diversity factor;
Calculate oscillogram and the described standard handwriting figure of the ordinate dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the ordinate dimension of graphic data, as the second waveform diversity factor;
According to described the first waveform diversity factor and described the second waveform diversity factor, calculate described figure diversity factor;
Wherein, the abscissa of described oscillogram is the described time interval.
Optionally, described standard handwriting graph data employing following steps generation:
Gather the initial data of described standard handwriting graph data;
Noise data described in filtering in initial data;
Abscissa value to each pixel in the initial data after filter out noise data, ordinate value and timeBetween interval do normalized processing, as standard handwriting graph data;
Store described standard handwriting graph data.
Optionally, also comprise:
If mate unsuccessfully, remove described person's handwriting figure.
The present invention also provides a kind of page navigation device, comprising:
Collecting unit, for gathering the handwriting data for page navigation;
Matching unit, for by the described handwriting data for page navigation and the person's handwriting shape library that prestoresStandard handwriting graph data mates;
Acquiring unit, if for the match is successful, obtains corresponding with the described standard handwriting graph data matingPage address;
Display unit, for according to described page address, carries out and shows the page that points to described page addressOperation.
Optionally, also comprise:
Filter element, for the noise data for the handwriting data of page navigation described in filtering.
Optionally, abscissa value and the ordinate value of the pixel in described standard handwriting graph data are normalizingsThe value of changing; Described device also comprises:
The first normalization unit, for each pixel to the described handwriting data for page navigationDescribed abscissa value and ordinate value do normalized processing.
Optionally, described matching unit comprises:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of the described handwriting data for page navigation;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, each of the described handwriting data for page navigation and described standard handwriting graph dataPixel is the time interval by first pixel of abscissa value, ordinate value, this pixel and person's handwriting,And the stroke number of this pixel in person's handwriting represents.
Optionally, the described abscissa value of the pixel in described standard handwriting graph data, ordinate value andThe described time interval is normalized value; Described device also comprises:
The second normalization unit, for each pixel to the described handwriting data for page navigationAbscissa value, ordinate value and the described time interval are done normalized processing.
Optionally, described matching unit comprises:
Read subelement, for reading the described handwriting data for page navigation according to input sequence by strokeEach stroke data, using the current described stroke data reading as person's handwriting graph data to be matched;
Judgment sub-unit, for judging whether described person's handwriting shape library exists and described person's handwriting figure to be matchedThe described standard handwriting graph data that graphic data matches; If so, judge that the match is successful;
Upgrade subelement, for if not, described in judgement, whether exist for the handwriting data of page navigationNext stroke data of described person's handwriting graph data to be matched; If there is described next stroke data, willDescribed person's handwriting graph and data revision to be matched is described person's handwriting graph data to be matched and described next strokeThe graph data of data compositions, and rejudge in described person's handwriting shape library and whether exist with described to be matchedThe described standard handwriting graph data that person's handwriting graph data matches.
Optionally, described judgment sub-unit comprises:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of described person's handwriting graph data to be matched;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, described computation subunit comprises:
First generates subelement, for the institute of the pixel that comprises according to described person's handwriting graph data to be matchedState abscissa value, described ordinate value and the described time interval, generate described person's handwriting graph data to be matchedThe oscillogram of abscissa dimension and the oscillogram of ordinate dimension;
Second generates subelement, for the described horizontal stroke of the pixel that comprises according to described standard handwriting graph dataCoordinate figure, described ordinate value and the described time interval, generate the abscissa of described standard handwriting graph dataThe oscillogram of the oscillogram of dimension and ordinate dimension;
The first computation subunit, for calculating the ripple of abscissa dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the abscissa dimension of shape figure and described standard handwriting graph data, as firstDifferent wave shape degree;
The second computation subunit, for calculating the ripple of ordinate dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the ordinate dimension of shape figure and described standard handwriting graph data, as secondDifferent wave shape degree;
The 3rd computation subunit, for according to described the first waveform diversity factor and described the second waveform diversity factor,Calculate described figure diversity factor;
Wherein, the abscissa of described oscillogram is the described time interval.
Optionally, also comprise:
Clearing cell, if unsuccessful for mating, removes described person's handwriting figure.
Compared with prior art, the present invention has the following advantages:
The page navigation method that the application provides, by by the handwriting data for page navigation gathering and pre-Standard handwriting graph data in the person's handwriting shape library of depositing mates, and finds the standard handwriting figure of couplingData, and show the page that the page address corresponding with the standard handwriting graph data of coupling pointed to, make energyEnough carry out page navigation by person's handwriting, avoid could arriving specified page through the middle transition page one by one,Thereby realize simply and fast page navigation, strengthen the convenience of user's operation.
Brief description of the drawings
Fig. 1 is the flow chart of the application's page navigation method embodiment A;
Fig. 2 is the particular flow sheet of the application's page navigation method Embodiment B step S104;
Fig. 3 is the handwriting data pixel for page navigation in the application's page navigation method Embodiment BThe schematic diagram of point;
Fig. 4 is the idiographic flow that the application's page navigation method Embodiment B generates standard handwriting graph dataFigure;
Fig. 5 is the particular flow sheet of the application's page navigation method Embodiment B step S202;
Fig. 6 is the particular flow sheet of the application's page navigation method Embodiment B step S501;
Fig. 7 is the schematic diagram of oscillogram in the application's page navigation method Embodiment B;
Fig. 8 is the schematic diagram of distance matrix in the application's page navigation method Embodiment B;
Fig. 9 is the activity diagram of the application's page navigation method Embodiment B;
Figure 10 is the schematic diagram of the application's page navigation device embodiment.
Detailed description of the invention
A lot of details are set forth in the following description so that fully understand the present invention. But the present inventionCan implement to be much different from alternate manner described here, those skilled in the art can without prejudice toIn the situation of intension of the present invention, do similar popularization, therefore the present invention is not subject to the restriction of following public concrete enforcement.
In this application, a kind of page navigation method and device are provided. Enter one by one in the following embodimentsRow describes in detail.
Please refer to Fig. 1, the flow chart of the page navigation method embodiment A that it is the application. Described method comprisesFollowing steps:
Step S101: gather the handwriting data for page navigation.
The handwriting data for page navigation described in the embodiment of the present application is that the person's handwriting of being inputted by user passes throughEach pixel composition. In the present embodiment, the handwriting data of collection is the person's handwriting figure of user writing,Person's handwriting figure is made up of each pixel of person's handwriting, and the value of each pixel comprises abscissa value and ordinateValue. The person's handwriting matching process adopting is the static person's handwriting matching process based on person's handwriting figure. Based on person's handwriting figureStatic person's handwriting recognition methods, be to the whole person's handwriting figure of input directly and the person's handwriting figure of standard carried outWhole coupling.
The page navigation method that the embodiment of the present application provides, can be according to the pen of the default time interval to inputMark carries out the sampling of pixel. In the present embodiment, the time interval of setting every 10ms adopts the person's handwriting of inputPixel of sample.
In the present embodiment, by the described handwriting data for page navigation and the person's handwriting shape library that prestoresStandard handwriting graph data mate before, also comprise:
Step S102: described in filtering for the noise data of the handwriting data of page navigation.
The person's handwriting of the each input of user can have flaw, and completely identical with the person's handwriting figure of standard, exampleAs: the correspondence position that in the person's handwriting of input, the junction of two strokes is not so good as in the person's handwriting figure of standard links up.In the present embodiment, incoherent the junction that causes two strokes pixel is considered as to noise data. NoiseData need to be by filtering, to avoid affecting the result of person's handwriting coupling.
In the present embodiment, described in filtering, the noise data for the handwriting data of page navigation comprises as followsStep: determine the described incoherent part of handwriting data for page navigation; To described incoherent portionDivide and carry out smoothing processing.
The page navigation method that the embodiment of the present application provides, can adopt various conventional person's handwriting noise datasFilter method, carries out the filtering processing of noise data to the described handwriting data for page navigation. DifferentThe filter type of person's handwriting noise data, is all the change of detailed description of the invention, does not depart from the application's coreThe heart, therefore all within the application's protection domain.
In the present embodiment, abscissa value and the ordinate value of the pixel in described standard handwriting graph dataIt is normalized value. Therefore, by the described handwriting data for page navigation and the person's handwriting shape library that prestoresIn standard handwriting graph data mate before, also comprise:
Step S103: the described abscissa of each pixel to the described handwriting data for page navigationValue and ordinate value do normalized processing.
The ways of writing of different user and custom be different, even and same people each time to same figureAlso difference to some extent of the input person's handwriting of shape, for example: the person's handwriting of input and the person's handwriting of the standard feelings that cause not of uniform sizeCondition. Therefore, the handwriting data for page navigation described in the embodiment of the present application with respect to the person's handwriting of standard andSpeech may be the image of a large-size. Size is the size of image, i.e. image area. For obtainingPerson's handwriting matching result effectively, before the person's handwriting of input is mated with the person's handwriting of standard, need to be to the pen of inputThe processing that mark is normalized, to avoid the size of person's handwriting on the impact of matching result. So-called normalization refers to,The Unitary coordinate of each dimension of pixel in person's handwriting is arrived to [0,1] interval. In the present embodiment, dimension comprises horizontal strokeCoordinate and ordinate.
Step S104: the standard by the described handwriting data for page navigation with the person's handwriting shape library prestoringPerson's handwriting graph data mates.
The page navigation method that the embodiment of the present application provides, fast schemes by the person's handwriting of preset some function pagesShape, user only need to draw the person's handwriting figure corresponding with the page of opening in advance and just can navigate in current pageTo the corresponding page. For example: user draws on the table a preset wifi person's handwriting figure is set, and a step justCan enter into wifi the page is set. Similarly, any page of user in Alipay inputted preset handSecret code arranges person's handwriting figure, just can the formula of being good for enters cell phone password the page is set.
In the present embodiment, described by the described handwriting data for page navigation and the person's handwriting shape library prestoringIn standard handwriting graph data mate and comprise:
Step S1041: calculate one by one standard handwriting graph data and institute described in each in described person's handwriting shape libraryState the figure diversity factor for the handwriting data of page navigation.
Figure diversity factor described in the embodiment of the present application refers to, the Europe of all corresponding pixel points between two figuresFormula is apart from sum. Figure diversity factor value is less, represents that two figures are more similar.
The page navigation method that the embodiment of the present application provides, can adopt various conventional calculating figure diversity factoiesMethod, thereby obtain described in each in described person's handwriting shape library standard handwriting graph data and described forThe figure diversity factor of the handwriting data of page navigation. The method of different calculating figure diversity factoies is all toolThe change of body embodiment, does not depart from the application's core, therefore all within the application's protection domain.
Step S1042: minimum figure diversity factor and default figure diversity factor threshold value are compared, ifBe less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Figure diversity factor threshold value described in the embodiment of the present application is a figure that a large amount of regression trainings of process are obtainedThe threshold value of shape diversity factor, the maximum of the figure diversity factor between two figures that this threshold value represents to match,That is: in the time that the figure diversity factor between two figures is greater than described maximum, judge that two images do not mate;In the time that the figure diversity factor between two figures is less than or equal to described maximum, judge mutual of two figuresJoin. When obtain figure diversity factor threshold value by regression training, feasible regression training mode comprises linear mouldThe regression training mode of type, i.e. linear regression algorithm. The method of different calculating figure diversity factor threshold values, allThe just change of detailed description of the invention, does not depart from the application's core, therefore all at the application's protection modelWithin enclosing.
In step S1042, minimum figure diversity factor and default figure diversity factor threshold value are compared,If minimum figure diversity factor is less than or equal to described figure diversity factor threshold value, judge described person's handwriting shape libraryMiddle existence and the described described standard handwriting graph data matching for the handwriting data of page navigation, this markAccurate person's handwriting graph data and figure diversity factor value minimum for the handwriting data of page navigation.
Step S105: if the match is successful, obtain the page corresponding with the described standard handwriting graph data matingFace address.
Step S106: according to described page address, carry out the operation that shows the page pointing to described page address.
The page navigation method that the application provides, when the standard handwriting of the person's handwriting Graphic Pattern Matching finding and inputAfter figure, according to the corresponding relation of standard handwriting figure and page address, obtain and the described standard pen of matingThe page address that mark graph data is corresponding, and according to described page address, carry out and show that described page address refers toTo the operation of the page.
In the present embodiment, also comprise:
Step S107: if mate unsuccessfully, remove described person's handwriting figure.
The page navigation method that the embodiment of the present application provides, when the person's handwriting Graphic Pattern Matching not finding and inputStandard handwriting figure after, by the person's handwriting pattern deleting of inputting on electronic equipment screen, with avoid impact afterContinuous operation.
The typical application scenarios of one of the page navigation method that the embodiment of the present application provides, refers to eventually mobileIn end, carry out page navigation by person's handwriting. Mobile terminal comprises that person's handwriting gathers control and person's handwriting identification fuzzy matchingEngine. Wherein, person's handwriting collection control is responsible for the data of recording user person's handwriting and transmits handwriting data knowing to person's handwritingOther fuzzy matching engine uses. Person's handwriting identification fuzzy matching engine is mainly responsible for using person's handwriting matching algorithm to penMark data are carried out off-line analysis. Preset person's handwriting shape library storage standards person's handwriting graph data in mobile terminal,For person's handwriting identification fuzzy matching engine provides Data support.
The page navigation method that the application provides, by by the handwriting data for page navigation gathering and pre-Standard handwriting graph data in the person's handwriting shape library of depositing mates, and finds the standard handwriting figure of couplingData, and show the page that the page address corresponding with the standard handwriting graph data of coupling pointed to, make energyEnough carry out page navigation by person's handwriting, avoid could arriving specified page through the middle transition page one by one,Thereby realize simply and fast page navigation, strengthen the convenience of user's operation.
Please refer to Fig. 2, the particular flow sheet of the page navigation method Embodiment B step S104 that it is the application.Embodiment B is the preferred embodiment of the application's page navigation method. In the present embodiment, the person's handwriting of employingMatching process is different from the static person's handwriting matching process based on person's handwriting figure in embodiment A, and adopts based on penThe dynamic person's handwriting matching process of mark writing process. In the present embodiment, described by described for page navigationHandwriting data mates and comprises with the standard handwriting graph data in the person's handwriting shape library prestoring:
Step S201: read the described handwriting data for page navigation by stroke according to input sequence eachDraw data, using the current described stroke data reading as person's handwriting graph data to be matched.
Based on the dynamic person's handwriting matching process of handwriting process, pay close attention to person's handwriting write behavior pattern and penThe order of drawing. Therefore, the data that gather by having the electronic equipment of touch-screen, not only comprise user writingThe abscissa of the pixel of person's handwriting process and ordinate information, also comprise the sampling time information of pixel. AdoptThe handwriting data of collection is the point sequence data of person's handwriting drawing process, and for example, the point sequence data format of collection is:{[xi，yi，ti], wherein xiRefer to the abscissa of sampled point i, yiRefer to the ordinate of sampled point i, tiRefer to the time interval information of sampled point i and first sampled point.
In the present embodiment, set the time interval of every 10ms to a pixel of person's handwriting sampling of input. OftenThe pixel of individual sampling is by the abscissa value of its screen position, place, ordinate value, this pixel and wholeThe time interval of first pixel of person's handwriting, and the stroke number of this pixel in whole person's handwriting represents.
Please refer to Fig. 3, in the page navigation method Embodiment B that it is the application for the person's handwriting number of page navigationAccording to the schematic diagram of middle pixel. In the person's handwriting of " little " inputted user, the 27th in the pixel of collectionIndividual sampled point data format is: { [421,656,270] }. Wherein, the abscissa value of this sampled point is 421, shouldThe ordinate value of sampled point is 656, and the time interval of this sampled point and first sampled point is 270.
The line that when stroke described in the embodiment of the present application refers to input person's handwriting, one-time continuous is write as incessantlyBar. Stroke is the least unit of person's handwriting coupling. Stroke can be both the stroke of Chinese character, for example: and horizontal (one),Perpendicular (Shu), skim (Pie), point (Dian), right-falling stroke (), several classes such as folding (Ya) etc., concrete segmentation can reach kind more than 30.As the person's handwriting of user input, stroke can be also figure arbitrarily. The page that the embodiment of the present application provides is ledBoat method, can carry out the fuzzy matching of person's handwriting to the person's handwriting of figure arbitrarily, thereby obtain the page of navigationAddress.
The page navigation method that the embodiment of the present application provides, in the gatherer process of handwriting data, identifies oneThe method that person's handwriting figure finishes is, if between two strokes, pause interval greater than equaling predetermined timeInterval, taking this time interval as division points, is divided into two words or two figures by the person's handwriting of input. ?In the present embodiment, if between two strokes, pause interval greater than equaling 1 second, with this time intervalFor division points, the person's handwriting of input is divided into two words or two figures; If between two strokes, pause timeBetween interval be less than 1 second, these two strokes belong to same word or same figure.
Please refer to Fig. 4, the page navigation method Embodiment B generation standard handwriting graph data that it is the applicationParticular flow sheet. In the present embodiment, described standard handwriting graph data adopts following steps to generate:
Step S401: the initial data that gathers described standard handwriting graph data.
Step S402: the noise data described in filtering in initial data.
Step S403: abscissa value to each pixel in the initial data after filter out noise data, verticalCoordinate figure and the time interval are done normalized processing, as standard handwriting graph data.
Step S404: store described standard handwriting graph data.
In the present embodiment, each pixel in standard handwriting graph data is by abscissa value, ordinateThe time interval of first pixel of value, this pixel and standard handwriting, and this pixel is in standard penStroke number in mark represents. Abscissa value, the ordinate of the pixel in described standard handwriting graph dataValue and the described time interval are normalized values.
The page navigation method that the embodiment of the present application provides, due to acquisition and processing standard handwriting graph dataMethod is consistent with the acquisition and processing method of the handwriting data to for page navigation, relevant part referring toThe explanation of the acquisition and processing method part to the handwriting data for page navigation repeats no more herein.
Due to the described abscissa value of the pixel in the standard handwriting graph data described in the present embodiment, vertical seatScale value and the described time interval are normalized values, therefore, described by the described person's handwriting for page navigationData also comprise: to institute before mating with the standard handwriting graph data in the person's handwriting shape library prestoringState abscissa value, ordinate value and described time for each pixel of the handwriting data of page navigationNormalized processing is done at interval. About the reason that the coordinate information of pixel is normalized, in realityExecute in routine A and be described in detail, repeat no more herein, refer to the appropriate section in embodiment A.
Step S202: judge in described person's handwriting shape library and whether exist and described person's handwriting graph data to be matchedThe described standard handwriting graph data matching; If so, judge that the match is successful.
Please refer to Fig. 5, the particular flow sheet of the page navigation method Embodiment B step S202 that it is the application.In the present embodiment, describedly judge in described person's handwriting shape library whether exist and described person's handwriting figure to be matchedThe described standard handwriting graph data that data match comprises:
Step S501: calculate one by one standard handwriting graph data and institute described in each in described person's handwriting shape libraryState the figure diversity factor of person's handwriting graph data to be matched.
Please refer to Fig. 6, the particular flow sheet of the page navigation method Embodiment B step S501 that it is the application.In the present embodiment, describedly calculate one by one standard handwriting graph data described in each in described person's handwriting shape libraryComprise with the figure diversity factor of described person's handwriting graph data to be matched:
Step S5011: the described abscissa of the pixel comprising according to described person's handwriting graph data to be matchedValue, described ordinate value and the described time interval, generate the abscissa of described person's handwriting graph data to be matchedThe oscillogram of the oscillogram of dimension and ordinate dimension.
Step S5012: the described abscissa value of the pixel comprising according to described standard handwriting graph data, instituteState ordinate value and the described time interval, generate the waveform of the abscissa dimension of described standard handwriting graph dataThe oscillogram of figure and ordinate dimension.
Step S5013: calculate described person's handwriting graph data to be matched abscissa dimension oscillogram and described inFigure diversity factor between the oscillogram of the abscissa dimension of standard handwriting graph data, as the first waveform differenceDifferent degree.
Step S5014: calculate described person's handwriting graph data to be matched ordinate dimension oscillogram and described inFigure diversity factor between the oscillogram of the ordinate dimension of standard handwriting graph data, as the second waveform differenceDifferent degree.
Step S5015: according to described the first waveform diversity factor and described the second waveform diversity factor, calculate described figureShape diversity factor.
The abscissa of the oscillogram described in the embodiment of the present application is the described time interval of each pixel.
In the present embodiment, by calculating standard handwriting graph data and person's handwriting graph data to be matched at XEuclidean distance between the oscillogram in dimension, and Euclidean distance between the two oscillogram in Y dimension,Can obtain the figure diversity factor between standard handwriting graph data and person's handwriting graph data to be matched.
In actual operating environment, even if twice signature of same person is also impossible on all four,All there is dynamically skew with space in time, not only total duration length difference, and in displacementOn function curve, the relative duration of each Wave crest and wave trough and amplitude are also randomly changings. Therefore, calculatingBetween standard handwriting graph data and person's handwriting graph data to be matched oscillogram in X dimension and Y dimensionWhen Euclidean distance, conventionally the two directly cannot be mated corresponding. Please refer to Fig. 7, its page that is the application is ledThe schematic diagram of oscillogram in boat embodiment of the method B. In the present embodiment, first by dynamic time warping skillArt by person's handwriting graph data to be matched launch, regular processing again, then by itself and standard handwritingGraph data carries out the calculating of figure diversity factor, thereby calculates two figure diversity factoies between oscillogram.
Dynamic time warping technology is a kind of Dynamic Programming technology. Please refer to Fig. 8, its page that is the application is ledThe schematic diagram of distance matrix in boat embodiment of the method B. Wherein, sample a is person's handwriting graph data to be matchedOscillogram in X dimension, sample b is the oscillogram of standard handwriting graph data in X dimension. ForSample a and sample b, first calculate similarity distance matrix D (i, j)=Dis (a (i), b (j)). WhereinDis is a kind of apart from weighing criteria. And then on distance matrix, obtain best matching path. For example: currentPath point is D (i, j), by D (i+1, j) relatively, D (i, j+1), D (i+1, j+1), using it under as nextIndividual optimal path point. By dynamic time warping technology, by person's handwriting graph data to be matched launch,Again regular processing, so that can it is corresponding with standard handwriting graph data coupling, carries out figure differenceThe calculating of degree.
The page navigation method that the application provides, can adopt the method for various conventional calculating figure diversity factoies,Thereby obtain standard handwriting graph data and described person's handwriting to be matched described in each in described person's handwriting shape libraryThe figure diversity factor of graph data. The method of different calculating figure diversity factoies is all detailed description of the inventionChange, do not depart from the application's core, therefore all within the application's protection domain.
Step S502: minimum figure diversity factor and default figure diversity factor threshold value are compared, ifBe less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
In step S502, minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge in described person's handwriting shape library exist with described in treatThe described standard handwriting graph data that the person's handwriting graph data of joining matches, this standard handwriting graph data with treatThe figure diversity factor value minimum of the person's handwriting graph data of coupling.
Because the ways of writing of different user and custom are different, even and same people each time toAlso difference to some extent of the input person's handwriting of one figure, for example: angle between two strokes of input is inconsistent etc.Therefore, for obtaining person's handwriting matching result more accurately, before the person's handwriting of input is mated with the person's handwriting of standard,Also need person's handwriting to input and the person's handwriting of standard to carry out the extraction of feature pixel, to avoid with standardThe person's handwriting of person's handwriting Graphic Pattern Matching is judged to be not mate. Carry out feature picture at the person's handwriting to input and the person's handwriting of standardOn the basis of the extraction of vegetarian refreshments, calculate described in each in person's handwriting shape library standard handwriting graph data with described inThe figure diversity factor of person's handwriting graph data to be matched, can obtain person's handwriting matching result more accurately. OnThe method of stating is the further improved method to existing person's handwriting matching algorithm, is the change of detailed description of the invention,Do not depart from the application's core, therefore all within the application's protection domain.
Step S203: if not, treat described in whether existing for the handwriting data of page navigation described in judgementNext stroke data of the person's handwriting graph data of coupling; If there is described next stroke data, described in inciting somebody to action, treatThe person's handwriting graph and data revision of coupling is described person's handwriting graph data to be matched and described next stroke data groupThe graph data becoming, and rejudge in described person's handwriting shape library and whether exist and described person's handwriting figure to be matchedThe described standard handwriting graph data that graphic data matches.
In step S201, read the handwriting data for page navigation according to the input sequence of person's handwriting by strokeEach stroke data, using the current described stroke data reading as person's handwriting graph data to be matched; In stepIn rapid S202, if do not find in described person's handwriting shape library and described person's handwriting graph data phase to be matchedThe described standard handwriting graph data of coupling, in step S203, according to the stroke order of input, by instituteStating person's handwriting graph and data revision to be matched is described person's handwriting graph data to be matched and described next stroke numberAccording to the graph data of composition, and it is carried out to further person's handwriting matched and searched operation, until find couplingStandard handwriting figure or all searched for the composite figure of the continuous stroke of the person's handwriting of page navigationTill finishing. For example, mating for the person's handwriting for page navigation and test pattern storehouse Plays person's handwriting figureProcess comprises the steps:
1) from the first stroke of the person's handwriting for page navigation, if the first stroke figure mates by person's handwritingAlgorithm can find the standard handwriting figure matching with the first stroke figure that is: in preset person's handwriting shape libraryShape, obtains the page address corresponding with the described standard handwriting graph data mating; Otherwise, by the first strokeWith second common composition figure, the standard of searching coupling by person's handwriting matching algorithm in person's handwriting shape libraryPerson's handwriting figure, so analogizes.
2) from second of the person's handwriting for page navigation, if second figure mates by person's handwritingAlgorithm can find the standard handwriting figure matching with second figure that is: in preset person's handwriting shape libraryShape, obtains the page address corresponding with the described standard handwriting graph data mating; Otherwise, by secondWith the 3rd common composition figure, the standard of searching coupling by person's handwriting matching algorithm in person's handwriting shape libraryPerson's handwriting figure, so analogizes.
3) the 3rd from the person's handwriting for page navigation starts coupling, described in other steps and first two stepsStep identical.
Please refer to Fig. 9, the activity diagram of the page navigation method Embodiment B that it is the application. In the present embodiment,User opens with the application program with person's handwriting page navigation function, inputs preset pen on current pageMark figure; Person's handwriting gathers control the stroke information of handwriting information and person's handwriting is imported into person's handwriting identification fuzzy matchingEngine; Person's handwriting identification fuzzy matching engine, in conjunction with database information, uses person's handwriting matching algorithm, according to strokeInput order, finds out optimal standard handwriting figure, and returns to corresponding page info, then automatically drawsLeading user enters user and wishes the page entering; Otherwise, automatically remove the handwriting information of the page.
The person's handwriting matching process adopting in the page navigation method that the embodiment of the present application provides is based on person's handwriting bookWrite the dynamic person's handwriting matching process of process. Based on the dynamic person's handwriting matching process of handwriting process, first rightThe person's handwriting of input carries out the combination by stroke, forms the figure by partial continuous stroke combination, and will be by partThe figure of continuous stroke combination and the person's handwriting figure of standard carry out matching operation, make it possible to leading for the pageThe handwriting data of boat and the handwriting data of standard carry out fuzzy matching. For example: it is some page functions that D is setThe person's handwriting figure of face, when input ADB on screen time, also can enter D function pages pointed.
In the above-described embodiment, provide a kind of page navigation method, answered in contrast, the application alsoA kind of page navigation device is provided. Please refer to Figure 10, its page navigation device embodiment that is the application showsIntention. Because device embodiment is substantially similar in appearance to embodiment of the method, so describe fairly simplely, be correlated with itPlace is referring to the part explanation of embodiment of the method. The device embodiment of following description is only schematic.
A kind of page navigation device of the present embodiment, comprising: collecting unit 101, lead for gathering for the pageThe handwriting data of boat; Matching unit 102, for by the described handwriting data for page navigation and prestore penStandard handwriting graph data in mark shape library mates; Acquiring unit 103, if for the match is successful,Obtain the page address corresponding with the described standard handwriting graph data mating; Display unit 104, for basisDescribed page address, carries out the operation that shows the page pointing to described page address.
Optionally, also comprise:
Filter element, for the noise data for the handwriting data of page navigation described in filtering.
Optionally, abscissa value and the ordinate value of the pixel in described standard handwriting graph data are normalizingsThe value of changing; Described device also comprises:
The first normalization unit, for each pixel to the described handwriting data for page navigationDescribed abscissa value and ordinate value do normalized processing.
Optionally, described matching unit 102 comprises:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of the described handwriting data for page navigation;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, each of the described handwriting data for page navigation and described standard handwriting graph dataPixel is the time interval by first pixel of abscissa value, ordinate value, this pixel and person's handwriting,And the stroke number of this pixel in person's handwriting represents.
Optionally, the described abscissa value of the pixel in described standard handwriting graph data, ordinate value andThe described time interval is normalized value; Described device also comprises:
The second normalization unit, for each pixel to the described handwriting data for page navigationAbscissa value, ordinate value and the described time interval are done normalized processing.
Optionally, described matching unit 102 comprises:
Read subelement, for reading the described handwriting data for page navigation according to input sequence by strokeEach stroke data, using the current described stroke data reading as person's handwriting graph data to be matched;
Judgment sub-unit, for judging whether described person's handwriting shape library exists and described person's handwriting figure to be matchedThe described standard handwriting graph data that graphic data matches; If so, judge that the match is successful;
Upgrade subelement, for if not, described in judgement, whether exist for the handwriting data of page navigationNext stroke data of described person's handwriting graph data to be matched; If there is described next stroke data, willDescribed person's handwriting graph and data revision to be matched is described person's handwriting graph data to be matched and described next strokeThe graph data of data compositions, and rejudge in described person's handwriting shape library and whether exist with described to be matchedThe described standard handwriting graph data that person's handwriting graph data matches.
Optionally, described judgment sub-unit comprises:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of described person's handwriting graph data to be matched;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
Optionally, described computation subunit comprises:
First generates subelement, for the institute of the pixel that comprises according to described person's handwriting graph data to be matchedState abscissa value, described ordinate value and the described time interval, generate described person's handwriting graph data to be matchedThe oscillogram of abscissa dimension and the oscillogram of ordinate dimension;
Second generates subelement, for the described horizontal stroke of the pixel that comprises according to described standard handwriting graph dataCoordinate figure, described ordinate value and the described time interval, generate the abscissa of described standard handwriting graph dataThe oscillogram of the oscillogram of dimension and ordinate dimension;
The first computation subunit, for calculating the ripple of abscissa dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the abscissa dimension of shape figure and described standard handwriting graph data, as firstDifferent wave shape degree;
The second computation subunit, for calculating the ripple of ordinate dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the ordinate dimension of shape figure and described standard handwriting graph data, as secondDifferent wave shape degree;
The 3rd computation subunit, for according to described the first waveform diversity factor and described the second waveform diversity factor,Calculate described figure diversity factor;
Wherein, the abscissa of described oscillogram is the described time interval.
Optionally, also comprise:
Clearing cell, if unsuccessful for mating, removes described person's handwriting figure.
Although the present invention with preferred embodiment openly as above, it is not for limiting the present invention, Ren HebenThose skilled in the art without departing from the spirit and scope of the present invention, can make possible variation and amendment,Therefore protection scope of the present invention should be as the criterion with the scope that the claims in the present invention were defined.
In a typical configuration, computing equipment comprises one or more processors (CPU), I/OInterface, network interface and internal memory.
Internal memory may comprise the volatile memory in computer-readable medium, random access memory(RAM) and/or the form such as Nonvolatile memory, as read-only storage (ROM) or flash memory (flashRAM).Internal memory is the example of computer-readable medium.
1, computer-readable medium comprises that permanent and impermanency, removable and non-removable media can be byAny method or technology realize information storage. Information can be computer-readable instruction, data structure, journeyThe module of order or other data. The example of the storage medium of computer includes, but are not limited to phase transition internal memory(PRAM), static RAM (SRAM), dynamic random access memory (DRAM), itsRandom access memory (RAM), the read-only storage (ROM) of his type, electrically erasable is read-only depositsReservoir (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage(CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tape, tape magnetic magneticDisk storage or other magnetic storage apparatus or any other non-transmission medium, can be used for storage can be established by calculatingThe information of standby access. According to defining herein, computer-readable medium does not comprise non-temporary computer-readable matchmakerBody (transitorymedia), as data-signal and the carrier wave of modulation.
2, the embodiment that it will be understood by those skilled in the art that the application can be provided as method, system or computerProgram product. Therefore, the application can adopt complete hardware implementation example, complete implement software example or in conjunction with softwareForm with the embodiment of hardware aspect. And the application can adopt at one or more meters that wherein includeThe computer-usable storage medium of calculation machine usable program code (include but not limited to magnetic disc store,CD-ROM, optical memory etc.) form of the upper computer program of implementing.
Claims (21)
1. a page navigation method, is characterized in that, comprising:
Gather the handwriting data for page navigation;
Standard handwriting figure figurate number by the described handwriting data for page navigation with the person's handwriting shape library prestoringAccording to mating;
If the match is successful, obtain the page address corresponding with the described standard handwriting graph data mating;
According to described page address, carry out the operation that shows the page pointing to described page address.
2. page navigation method according to claim 1, is characterized in that, described by described forThe handwriting data of page navigation mates it with the standard handwriting graph data in the person's handwriting shape library prestoringBefore, also comprise:
Described in filtering for the noise data of the handwriting data of page navigation.
3. page navigation method according to claim 1, is characterized in that, described standard handwriting figureThe abscissa value of the pixel in data and ordinate value are normalized values;
Described by the standard handwriting of the described handwriting data for page navigation and the person's handwriting shape library that prestoresBefore graph data mates, also comprise:
Abscissa value and the ordinate value of each pixel to the described handwriting data for page navigation doNormalized processing.
4. according to the page navigation method described in claim 1-3 any one, it is characterized in that, described by instituteState for the standard handwriting graph data of the handwriting data of page navigation and the person's handwriting shape library that prestores and carry outJoin and comprise:
Calculate one by one standard handwriting graph data and described for the page described in each in described person's handwriting shape libraryThe figure diversity factor of the handwriting data of navigation;
Minimum figure diversity factor and default figure diversity factor threshold value are compared, if be less than or equal to instituteState figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
5. page navigation method according to claim 1, is characterized in that, described for page navigationHandwriting data and described standard handwriting graph data in each pixel be by abscissa value, ordinate value,The time interval of first pixel of this pixel and person's handwriting, and the stroke number of this pixel in person's handwritingRepresent.
6. page navigation method according to claim 5, is characterized in that, described standard handwriting figureDescribed abscissa value, ordinate value and the described time interval of the pixel in data are normalized values;
Described by the standard handwriting of the described handwriting data for page navigation and the person's handwriting shape library that prestoresBefore graph data mates, also comprise:
The abscissa value of each pixel to the described handwriting data for page navigation, ordinate value andThe described time interval is done normalized processing.
7. according to the page navigation method described in claim 5 or 6, it is characterized in that, described by described useHandwriting data in page navigation mates bag with the standard handwriting graph data in the person's handwriting shape library prestoringDraw together:
Read each stroke data of the described handwriting data for page navigation by stroke according to input sequence, willThe current described stroke data reading is as person's handwriting graph data to be matched;
Judge and in described person's handwriting shape library, whether have the institute matching with described person's handwriting graph data to be matchedState standard handwriting graph data; If so, judge that the match is successful;
If not, judgement described in whether there is described person's handwriting to be matched for the handwriting data of page navigationNext stroke data of graph data; If there is described next stroke data, by described person's handwriting to be matchedGraph and data revision is the figure figurate number of described person's handwriting graph data to be matched and described next stroke data compositionAccording to, and rejudge in described person's handwriting shape library, whether exist and described person's handwriting graph data to be matched mutuallyThe described standard handwriting graph data of joining.
8. page navigation method according to claim 7, is characterized in that, the described person's handwriting of described judgementIn shape library, whether there is the described standard handwriting figure figurate number matching with described person's handwriting graph data to be matchedAccording to comprising:
Calculate one by one standard handwriting graph data and described to be matched described in each in described person's handwriting shape libraryThe figure diversity factor of person's handwriting graph data;
Minimum figure diversity factor and default figure diversity factor threshold value are compared, if be less than or equal to instituteState figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
9. page navigation method according to claim 8, is characterized in that, described one by one calculate described inThe figure of standard handwriting graph data and described person's handwriting graph data to be matched described in each in person's handwriting shape libraryShape diversity factor comprises:
The described abscissa value of the pixel comprising according to described person's handwriting graph data to be matched, described vertical seatScale value and the described time interval, generate the oscillogram of the abscissa dimension of described person's handwriting graph data to be matchedOscillogram with ordinate dimension;
The described abscissa value of the pixel comprising according to described standard handwriting graph data, described ordinate valueWith the described time interval, generate oscillogram and the ordinate of the abscissa dimension of described standard handwriting graph dataThe oscillogram of dimension;
Calculate oscillogram and the described standard handwriting figure of the abscissa dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the abscissa dimension of graphic data, as the first waveform diversity factor;
Calculate oscillogram and the described standard handwriting figure of the ordinate dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the ordinate dimension of graphic data, as the second waveform diversity factor;
According to described the first waveform diversity factor and described the second waveform diversity factor, calculate described figure diversity factor;
Wherein, the abscissa of described oscillogram is the described time interval.
10. page navigation method according to claim 6, is characterized in that, described standard handwriting figureGraphic data adopts following steps to generate:
Gather the initial data of described standard handwriting graph data;
Noise data described in filtering in initial data;
Abscissa value to each pixel in the initial data after filter out noise data, ordinate value and timeBetween interval do normalized processing, as standard handwriting graph data;
Store described standard handwriting graph data.
11. page navigation methods according to claim 1, is characterized in that, also comprise:
If mate unsuccessfully, remove described person's handwriting figure.
12. 1 kinds of page navigation devices, is characterized in that, comprising:
Collecting unit, for gathering the handwriting data for page navigation;
Matching unit, for by the described handwriting data for page navigation and the person's handwriting shape library that prestoresStandard handwriting graph data mates;
Acquiring unit, if for the match is successful, obtains corresponding with the described standard handwriting graph data matingPage address;
Display unit, for according to described page address, carries out and shows the page that points to described page addressOperation.
13. page navigation devices according to claim 12, is characterized in that, also comprise:
Filter element, for the noise data for the handwriting data of page navigation described in filtering.
14. page navigation devices according to claim 12, is characterized in that described standard handwriting figureThe abscissa value of the pixel in graphic data and ordinate value are normalized values; Described device also comprises:
The first normalization unit, for each pixel to the described handwriting data for page navigationDescribed abscissa value and ordinate value do normalized processing.
15. page navigation devices according to claim 12, is characterized in that, described matching unit bagDraw together:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of the described handwriting data for page navigation;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
16. page navigation devices according to claim 12, is characterized in that, describedly lead for the pageEach pixel in handwriting data and the described standard handwriting graph data of boat is by abscissa value, ordinateThe time interval of first pixel of value, this pixel and person's handwriting, and the pen of this pixel in person's handwritingPicture number represents.
17. page navigation devices according to claim 16, is characterized in that described standard handwriting figureDescribed abscissa value, ordinate value and the described time interval of the pixel in graphic data are normalized values;Described device also comprises:
The second normalization unit, for each pixel to the described handwriting data for page navigationAbscissa value, ordinate value and the described time interval are done normalized processing.
18. page navigation devices according to claim 16, is characterized in that, described matching unit bagDraw together:
Read subelement, for reading the described handwriting data for page navigation according to input sequence by strokeEach stroke data, using the current described stroke data reading as person's handwriting graph data to be matched;
Judgment sub-unit, for judging whether described person's handwriting shape library exists and described person's handwriting figure to be matchedThe described standard handwriting graph data that graphic data matches; If so, judge that the match is successful;
Upgrade subelement, for if not, described in judgement, whether exist for the handwriting data of page navigationNext stroke data of described person's handwriting graph data to be matched; If there is described next stroke data, willDescribed person's handwriting graph and data revision to be matched is described person's handwriting graph data to be matched and described next strokeThe graph data of data compositions, and rejudge in described person's handwriting shape library and whether exist with described to be matchedThe described standard handwriting graph data that person's handwriting graph data matches.
19. page navigation devices according to claim 18, is characterized in that described judgment sub-unitComprise:
Computation subunit, for calculating one by one standard handwriting figure figurate number described in each of described person's handwriting shape libraryAccording to the figure diversity factor of described person's handwriting graph data to be matched;
Relatively subelement, for minimum figure diversity factor and default figure diversity factor threshold value are compared,If be less than or equal to described figure diversity factor threshold value, judge and exist; Otherwise, judge and do not exist.
20. page navigation devices according to claim 19, is characterized in that described computation subunitComprise:
First generates subelement, for the institute of the pixel that comprises according to described person's handwriting graph data to be matchedState abscissa value, described ordinate value and the described time interval, generate described person's handwriting graph data to be matchedThe oscillogram of abscissa dimension and the oscillogram of ordinate dimension;
Second generates subelement, for the described horizontal stroke of the pixel that comprises according to described standard handwriting graph dataCoordinate figure, described ordinate value and the described time interval, generate the abscissa of described standard handwriting graph dataThe oscillogram of the oscillogram of dimension and ordinate dimension;
The first computation subunit, for calculating the ripple of abscissa dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the abscissa dimension of shape figure and described standard handwriting graph data, as firstDifferent wave shape degree;
The second computation subunit, for calculating the ripple of ordinate dimension of described person's handwriting graph data to be matchedDiversity factor between the oscillogram of the ordinate dimension of shape figure and described standard handwriting graph data, as secondDifferent wave shape degree;
The 3rd computation subunit, for according to described the first waveform diversity factor and described the second waveform diversity factor,Calculate described figure diversity factor;
Wherein, the abscissa of described oscillogram is the described time interval.
21. according to claim 12 to the page navigation device described in 20 any one, it is characterized in that, alsoComprise:
Clearing cell, if unsuccessful for mating, removes described person's handwriting figure.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410650309.5A CN105589650A (en) | 2014-11-14 | 2014-11-14 | Page navigation method and device |
| HK16112302.0A HK1224058A1 (en) | 2014-11-14 | 2016-10-26 | Method and device for page navigation |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410650309.5A CN105589650A (en) | 2014-11-14 | 2014-11-14 | Page navigation method and device |
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| CN105589650A true CN105589650A (en) | 2016-05-18 |
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| CN201410650309.5A Pending CN105589650A (en) | 2014-11-14 | 2014-11-14 | Page navigation method and device |
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| CN (1) | CN105589650A (en) |
| HK (1) | HK1224058A1 (en) |
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| CN106775227A (en) * | 2016-12-06 | 2017-05-31 | 福建天泉教育科技有限公司 | A kind of method and system of page layout switch |
| CN108415957A (en) * | 2017-11-06 | 2018-08-17 | 北京京东尚科信息技术有限公司 | The method and device of the self-defined navigation of webpage |
| CN109214153A (en) * | 2017-07-05 | 2019-01-15 | 百度在线网络技术（北京）有限公司 | information generating method and device |
| CN113744722A (en) * | 2021-09-13 | 2021-12-03 | 上海交通大学宁波人工智能研究院 | Off-line speech recognition matching device and method for limited sentence library |
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| CN101819502A (en) * | 2010-04-21 | 2010-09-01 | 华为终端有限公司 | Method and device for realizing custom menu |
| US20120200574A1 (en) * | 2011-02-03 | 2012-08-09 | Sony Corporation | Training for substituting touch gestures for gui or hardware keys to control audio video play |
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Also Published As
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| HK1224058A1 (en) | 2017-08-11 |
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