CN115439854A - Scanning display method based on interconnection of scanning pen and intelligent terminal - Google Patents
Scanning display method based on interconnection of scanning pen and intelligent terminal Download PDFInfo
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- CN115439854A CN115439854A CN202211078719.8A CN202211078719A CN115439854A CN 115439854 A CN115439854 A CN 115439854A CN 202211078719 A CN202211078719 A CN 202211078719A CN 115439854 A CN115439854 A CN 115439854A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/14—Image acquisition
- G06V30/1444—Selective acquisition, locating or processing of specific regions, e.g. highlighted text, fiducial marks or predetermined fields
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/94—Hardware or software architectures specially adapted for image or video understanding
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/19007—Matching; Proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/26—Techniques for post-processing, e.g. correcting the recognition result
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to the field of scanning identification, and discloses a scanning display method based on interconnection of a scanning pen and an intelligent terminal, which comprises the following steps: step1: establishing a database, and importing text data to a terminal interconnection platform; step2: starting a scanning end, and projecting a shadow coverage area in a text area to be identified; step3: manually adjusting the casting angle and positioning in advance; step4: setting a maximum text accommodation threshold; step5: adjusting the angle of a projection end until the light and shadow coverage reaches the maximum text containing threshold; step6: dividing the area with readable information and marking; step7: whether the relevance matching is started or not is judged, the range identification is carried out by projecting the text with the light and shadow, the text data is identified in a large scale, the angle of a projection end can be automatically adjusted according to the text direction, the text reading amount is set according to the requirement, the adjustment is flexible, manual handheld scanning is not needed, the convenience is realized, the interference factor during manual operation is reduced, the identification accuracy is ensured, and the market prospect is quite excellent.
Description
Technical Field
The invention relates to the technical field of scanning identification, in particular to a scanning display method based on interconnection of a scanning pen and an intelligent terminal.
Background
The traditional scanner inputs the image of the printed characters into a computer by scanning, and then converts the image into characters by using OCR software, but because of the influence of factors such as typesetting format and the like, the recognition accuracy is very limited, and the scanning pens on the market mainly comprise two types at present: the first type uses bar code as scanning object, and identifies the type of the object by identifying the bar code, and is mainly used in warehouse and supermarket, the scanning device of the second scanning pen is composed of optical system, linear array image sensor and roller, and the one-dimensional scanning data is generated into two-dimensional image data by the continuous rotation of the roller in the scanning process, and the scanned character is identified;
however, although the scanning pen in the prior art can scan printed characters, the scanning speed is limited, the scanning pen is inconvenient to use under the condition that a large area of text is required to be recognized, manual operation and scanning are easy to cause certain deviation in the recognition process due to human factors, and then the phenomenon that the recognition result is fuzzy and inaccurate is generated, and the service life of a product is short due to mechanical abrasion between the roller and the paper surface.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a scanning display method based on interconnection of a scanning pen and an intelligent terminal, which can effectively solve the problems that although the scanning pen in the prior art can scan printed characters, the scanning speed is limited, the scanning pen is inconvenient to use under the condition that a large area of text needs to be identified, the scanning is manually controlled, certain deviation occurs in the identification process due to human factors, the identification result is fuzzy and inaccurate, and the service life of a product is short due to mechanical abrasion between a roller and a paper surface.
(II) technical scheme
In order to achieve the above objects, the present invention is achieved by the following technical solutions,
the invention discloses a scanning display method based on interconnection of a scanning pen and an intelligent terminal, which comprises the following steps:
step1: establishing a database, and importing text data to a terminal interconnection platform;
step2: starting a scanning end, and projecting a shadow coverage area in a text area to be identified;
step3: manually adjusting the casting angle and positioning in advance;
step4: setting a maximum text accommodation threshold;
step5: adjusting the angle of a projection end until the light and shadow coverage reaches the maximum text containing threshold;
step6: dividing the area with readable information for marking;
step7: judging whether to start correlation matching;
step8: when the system is not started, image data acquisition is carried out on the marked area, the microprocessor is used for processing the image data, the scanned data is subjected to text reconstruction, and text data are generated and then submitted to a display end;
step9: starting, automatically segmenting, extracting part of characters, and matching in text data stored in a terminal in an interconnected manner;
step10: after error correction verification is carried out, selecting partial text content with the maximum matching coefficient to be pushed at a display end, and synchronously submitting associated content of the matched text content;
the error correction verification process in Step10 includes the following steps:
step101: starting error correction verification and receiving extracted data;
step102: judging whether the extracted data is consistent with the locally stored data;
step103: continuously operating according to preset settings;
step104: marking text paragraphs of the recognized text which are different from the locally stored text;
step105: covering the difference of the original text paragraph with the local data, and submitting the generated text as a priority recommendation item to a display end;
step106: and directly translating the original text paragraphs with the differences through image data identification to generate texts serving as secondary recommendation items, and submitting the texts to a display end.
Furthermore, the database in Step1 is used as a local storage terminal for storing all written data and remotely receiving and sending data of the terminal interconnection platform.
Furthermore, the adjustment of the cast angle in Step3 is to roughly adjust the illumination angle of the optical component for identifying data based on the text region to be scanned.
Furthermore, the setting manner of the maximum text containing threshold in Step4 includes: program automatic setting and manual editing setting.
Furthermore, the Step6 divides the readable information area, preliminarily identifies the shadow coverage area through an image sensor, marks the area with readable characteristics, screens out other areas, identifies characters, carries out binarization processing on the image, calculates the threshold value by constructing a potential histogram of the scanned image and utilizing potential function clustering, and adopts a method of combining a global threshold value and a local threshold value to finish self-adaptive threshold value division and distinguish text background and text characters.
Furthermore, the microprocessor in Step8 directly receives the signal output by the CMOS area array image sensor and performs the corresponding image processing function.
Further, the association matching operation in Step9 is to transmit and receive data through the wireless network.
Furthermore, after the scanning data is acquired in Step8, the composition is performed by using an image stitching algorithm, and the function formula is represented as:
wherein Ci (j) represents the projection function of the scanned image of the ith frame, ci +1 (j) represents the projection function of the scanned image of the i +1 th frame, the argument j represents the column number of the image, and the function Ci (j) represents the sum of black pixels in the image data of the jth column of the scanned image of the ith frame.
(III) advantageous effects
Compared with the known public technology, the technical proposal provided by the invention has the following beneficial effects,
1. according to the invention, by adding a measure of projecting the text by light and shadow for range identification, the text data is identified on a large scale, the angle of the projection end can be automatically adjusted according to the text direction, the text reading amount is set according to the requirement, the adjustment is flexible, manual handheld scanning is not needed, the operation is extremely convenient, the interference factor during manual operation is reduced, the identification accuracy is ensured, and the market prospect is quite excellent;
2. the text recognition device is not in direct contact with a carrier of a text to be recognized, so that the problem of mechanical abrasion of the original device is reduced, the service life is greatly prolonged, and the use speed can be effectively increased;
3. the method can be combined with the intelligent terminal interconnection platform, can perform association matching on the identification content in the local storage terminal, quickly obtain a similar result by analyzing and matching the existing data, and can synchronously submit the rest associated content matched with the text content, thereby greatly reducing the time spent by scanning by a user, saving the operation and ensuring the good satisfaction degree of the user in the actual operation process;
4. by adding the measures of error correction and verification, the method can identify the errors in the original text, correct and mark the errors, provide direct translation of the errors for comparison and timely correction of the users, and help the users to quickly solve translation obstacles.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a flow chart illustrating the error correction verification process of the present invention;
FIG. 3 is an architectural illustration of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be further described with reference to the following examples.
Example 1
In this embodiment, a scanning display method based on interconnection of a scanning pen and an intelligent terminal, as shown in fig. 1 and 3, includes the following steps:
step1: establishing a database, and importing text data to a terminal interconnection platform;
step2: starting a scanning end, and projecting a shadow coverage area in a text area to be identified;
step3: manually adjusting the casting angle and positioning in advance;
step4: setting a maximum text accommodation threshold;
step5: adjusting the angle of a projection end until the light and shadow coverage reaches the maximum text containing threshold;
step6: dividing the area with readable information and marking;
step7: judging whether to start correlation matching;
step8: when the system is not started, image data acquisition is carried out on the marked area, the microprocessor is used for processing the image data, the scanned data is subjected to text reconstruction, and text data are generated and then submitted to a display end;
step9: starting, automatically dividing paragraphs, extracting part of characters, and matching in text data which is stored in a terminal in an interconnected manner;
step10: after error correction verification is carried out, partial text content with the maximum matching coefficient is selected and pushed on a display end, and associated content of the matched text content is submitted synchronously.
In this embodiment, the database in Step1 is used as a local storage for storing all written data and remotely receiving and sending data of the terminal interconnection platform.
The adjustment of the cast angle in Step3 is to roughly adjust the irradiation angle of the optical component for identifying data based on the text region to be scanned.
The setting mode of the maximum text containing threshold in Step4 includes: program automatic setting and manual editing setting.
The Step6 comprises the steps of initially identifying a shadow coverage area through an image sensor, marking the area with readable characteristics, screening out other areas, carrying out character identification, carrying out binarization processing on the image, calculating a threshold value by constructing a potential histogram of a scanned image and utilizing potential function clustering, and finishing self-adaptive threshold value segmentation and distinguishing text background and text characters by adopting a method of combining a global threshold value and a local threshold value.
And the microprocessor in Step8 directly receives the signal output by the CMOS area array image sensor and completes the corresponding image processing function.
And performing association matching operation in Step9, and transmitting and receiving data through a wireless network.
In the specific implementation of the embodiment, a database is established on a terminal interconnection platform, large-scale automatic identification is performed through projection during scanning, a scanning threshold value is set as required, direct identification is performed when association matching is not needed to obtain data, identified information is compared with data of a local database when association matching is needed, a recommended answer is given, and other associated contents are submitted synchronously;
during the scanning process, a large amount of image data is generated to form a sequence of scanned images. And for the same scanning object, the slower the scanning speed is, the larger the data volume is, and in order to reduce the image data volume, the algorithm such as exclusive-or operation is adopted to complete the correlation analysis of the inter-frame image data.
Example 2
In other aspects, the present embodiment further provides a process of error correction verification, as shown in fig. 2, including the following steps:
step101: starting error correction verification and receiving extracted data;
step102: judging whether the extracted data is consistent with the locally stored data;
step103: continuously operating according to preset settings;
step104: marking text paragraphs of the recognized text which are different from the locally stored text;
step105: covering the difference of the original text paragraph with the local data, and submitting the generated text as a priority recommendation item to a display end;
step106: and directly translating the original text paragraphs with the differences through image data identification to generate texts serving as secondary recommendation items, and submitting the texts to a display end.
In the embodiment, during the specific implementation, in the process of association matching, the error position which may exist is marked and modified, meanwhile, the error position is directly translated, and the two results are submitted to the display end together;
because the font sizes of the scanned objects may be different, a plurality of lines of characters are included in the scanned image, and for the convenience of subsequent character recognition, one line of the scanned image must be retained by using an automatic line removal technology, and other characters in the scanned image must be removed.
Example 3
In this embodiment, after the scan data is acquired in Step8, an image stitching algorithm is used to construct a composition, and a function formula is represented as:
wherein Ci (j) represents a projection function of the i-th frame scanned image, ci +1 (j) represents a projection function of the i + 1-th frame scanned image, the argument j represents a column number of the image, and the function Ci (j) represents a sum of black pixels in the j-th column image data of the i-th frame scanned image.
In this embodiment, since the size of the scanned image of each frame is 128 × 80 pixels, the variation range of j is 0 to 127. Since the front part of the i +1 th frame of scanned image will coincide with the back part of the i th frame of scanned image, the extraction of the motion vector is to find the coordinate offset of the coincident image in the two frames of images, which can be realized by performing a correlation operation on the projection function, and in the correlation operation, the foremost part of the projection function Ci +1 (j) of the i +1 th frame of scanned image should be selected to perform a cross-correlation operation with the projection function Ci (j) of the i th frame of scanned image.
In summary, a database is established on a terminal interconnection platform, large-scale automatic identification is performed through projection during scanning, a scanning threshold value is set as required, direct identification is performed when association matching is not required to obtain data, identified information is compared with local database data when association matching is required, a recommended answer is given, other associated contents are submitted synchronously, range identification is performed by projecting a text with a light shadow, the text data is identified in a large scale without direct contact with a carrier of the text to be identified, the angle of a projection end is automatically adjusted according to the orientation of the text, the text reading amount is set as required, the adjustment is flexible, manual handheld scanning is not required, a large amount of image data can be generated in the scanning process, and a scanned image sequence is formed. For the same scanning object, the slower the scanning speed is, the larger the data volume is, and in order to reduce the image data volume, algorithms such as exclusive-or operation and the like are adopted to complete the correlation analysis of the inter-frame image data;
in the process of correlation matching, marking and modifying possible error positions, simultaneously, directly translating the error positions, submitting two results to a display end together for comparison by a user, and timely correcting the possible difference of font sizes of scanned objects, so that a scanned image contains a plurality of lines of characters;
since the size of the scanned image per frame is 128 × 80 pixels, the variation range of j is 0 to 127. Since the front part of the i +1 th frame of scanned image will coincide with the back part of the i th frame of scanned image, the extraction of the motion vector is to find the coordinate offset of the coincident image in the two frames of images, which can be realized by performing a correlation operation on the projection function, and in the correlation operation, the foremost part of the projection function Ci +1 (j) of the i +1 th frame of scanned image should be selected to perform a cross-correlation operation with the projection function Ci (j) of the i th frame of scanned image.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (8)
1. A scanning display method based on interconnection of a scanning pen and an intelligent terminal is characterized by comprising the following steps:
step1: establishing a database, and importing text data to a terminal interconnection platform;
step2: starting a scanning end, and projecting a shadow coverage area in a text area to be identified;
step3: manually adjusting the casting angle and positioning in advance;
step4: setting a maximum text accommodation threshold value;
step5: adjusting the angle of a projection end until the light and shadow coverage reaches the maximum text containing threshold;
step6: dividing the area with readable information for marking;
step7: judging whether to start association matching;
step8: when the system is not started, image data acquisition is carried out on the marked area, the image data is processed through a microprocessor, the scanned data is subjected to text reconstruction, and the text data is generated and then submitted to a display end;
step9: starting, automatically dividing paragraphs, extracting part of characters, and matching in text data which is stored in a terminal in an interconnected manner;
step10: after error correction verification is carried out, selecting partial text contents with the maximum matching coefficient to be pushed at a display end, and synchronously submitting associated contents of the matched text contents;
the process of error correction verification in Step10 includes the following steps:
step101: starting error correction verification and receiving extracted data;
step102: judging whether the extracted data is consistent with the locally stored data;
step103: continuously operating according to preset settings;
step104: marking text paragraphs of the recognized text which are different from the locally stored text;
step105: covering the difference of the original text paragraph with the local data, and submitting the generated text as a priority recommendation item to a display end;
step106: and directly translating the original text paragraphs with the differences through image data identification to generate texts serving as secondary recommendation items, and submitting the texts to a display end.
2. The scanning display method based on the interconnection of the scanning pen and the intelligent terminal as claimed in claim 1, wherein the database in Step1 is used as a local storage terminal for storing all written data and remotely receiving and sending data of the terminal interconnection platform.
3. The method as claimed in claim 1, wherein the adjustment of the cast angle in Step3 is to substantially adjust the illumination angle of the optical component for identifying data based on the text area to be scanned.
4. The scanning display method based on the interconnection of the scanning pen and the intelligent terminal as claimed in claim 1, wherein the setting manner of the maximum text containing threshold in Step4 comprises: program automatic setting and manual editing setting.
5. The scanning display method based on the interconnection of the scanning pen and the intelligent terminal as claimed in claim 1, wherein the Step6 comprises the steps of dividing the readable information area, preliminarily identifying the shadow coverage area through an image sensor, marking the area with the readable feature, screening out the rest areas, identifying characters, binarizing the image, calculating the threshold value by constructing a potential histogram of the scanned image and utilizing potential function clustering, and adopting a method of combining a global threshold value and a local threshold value to complete adaptive threshold value division and distinguish text background and text characters.
6. The scan display method based on the interconnection of the scan pen and the intelligent terminal as claimed in claim 1, wherein the microprocessor in Step8 directly receives the signal output by the CMOS area array image sensor and performs the corresponding image processing function.
7. The method as claimed in claim 1, wherein the association matching operation in Step9 is performed to transmit and receive data via a wireless network.
8. The scanning display method based on the interconnection of the scanning pen and the intelligent terminal as claimed in claim 1, wherein in Step8, after the scanning data is acquired, the composition is performed by using an image stitching algorithm, and the function formula is represented as:
wherein Ci (j) represents a projection function of the i-th frame scanned image, ci +1 (j) represents a projection function of the i + 1-th frame scanned image, the argument j represents a column number of the image, and the function Ci (j) represents a sum of black pixels in the j-th column image data of the i-th frame scanned image.
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