CN110705610A - Evaluation system and method based on handwriting detection and temporary writing capability - Google Patents

Evaluation system and method based on handwriting detection and temporary writing capability Download PDF

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CN110705610A
CN110705610A CN201910874090.XA CN201910874090A CN110705610A CN 110705610 A CN110705610 A CN 110705610A CN 201910874090 A CN201910874090 A CN 201910874090A CN 110705610 A CN110705610 A CN 110705610A
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chinese character
template
image
positioning blocks
management device
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孔佑强
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/26Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds

Abstract

The invention discloses an evaluation system and method based on detecting calligraphy literacy, which comprises a Chinese character template making device, a Chinese character template management device, an identification execution device and a classification management device, wherein the Chinese character template making device is used for making Chinese character templates and positioning blocks in the Chinese character templates and setting the attributes of the positioning blocks, the Chinese character template management device is used for managing all the Chinese character templates and finding out the Chinese character templates with the coincidence rate reaching a set threshold value with an image area, and the identification execution device is used for matching the positioning blocks with the areas in a scanned image and extracting and identifying the content information of the matched positioning blocks. The system of the invention realizes the digitization of calligraphy writing ability detection, avoids careless mistakes caused by human factors, shortens the testing time, improves the testing reliability, establishes a growth file for sound students to learn calligraphy, reduces the workload for calligraphy teachers, and improves the calligraphy education and teaching efficiency.

Description

Evaluation system and method based on handwriting detection and temporary writing capability
Technical Field
The invention relates to the technical field of computers and application thereof, in particular to an evaluation system and method based on calligraphy provisional ability detection.
Background
In the teaching of primary calligraphy in primary and middle schools, copying is the most important thing. The process of imitating calligraphy and painting works as it is called copying. Temporarily, the original writing or drawing is performed; the imitation is to use thin paper (silk) to cover the original work to write or draw. The advantages of copying and copying are strong and weak. Particularly, the calligraphy pen is embodied on calligraphy, strokes can be easily learned, and a shelf structure can not be easily learned; the structure of the frame is easy to learn by copying, but strokes are not easy to learn. Whether the calligraphy is temporary or facsimile, the calligraphy needs to gradually transit from 'shape-likeness' to 'look-likeness' by taking the aim of 'likeness' with the model words, and the calligraphy can gradually enter the good environment for learning. From the viewpoint of difficulty, the imitation is difficult. The temporary writing is a comprehensive detection on the aspects of observation power, comprehension power, action execution capacity, graph reconstruction capacity, attention, visual memory, visual space capacity and the like of students, and the effect of calligraphy learning is often directly influenced by the level of the temporary writing capacity. Therefore, the traditional detection method is that a student writes one or more characters of a classical copybook within a specified time, and a teacher compares the characters written by the student with the copybook characters, and the evaluation principle is to see the writing expression condition of the student on the accuracy of a frame structure and the stroke characteristic image degree within the specified time. The objective of student evaluation is not to divide students into thirty-six-nine parts and the like, but to use the evaluation means to promote the further development of the clinical ability of students, so that the evaluation target of the students cannot only be on the result, but the result and the process are repeated. However, the evaluation mode has great subjectivity and non-rigor, and is difficult to adapt to the current teaching status with weak calligraphy teachers and great calligraphy teaching workload.
At present, the evaluation method for the handwriting ability in the calligraphy classroom of middle and primary schools wastes time, a teacher subjectively gives a score, the evaluation mode lacks objective quantification, the teacher possibly has a statistical error condition during calculation, and evaluation result information is not favorable for storage and management.
Disclosure of Invention
The invention aims to provide an evaluation system and method based on the handwriting detection temporary writing capability.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a system and a method for evaluating the handwriting detection capability of a Chinese character comprise a Chinese character template making device, a Chinese character template management device, an identification executing device and a classification management device, wherein the Chinese character template making device is used for making a Chinese character template and a positioning block in the Chinese character template and setting the attribute of the positioning block, the Chinese character template management device is used for managing all the Chinese character templates and finding out the Chinese character template with the coincidence rate reaching a set threshold value with an image area, the identification executing device is used for matching the positioning block with the area in a scanned image and extracting and identifying the content information of the matched positioning block, and the classification management device is used for classifying the content information after identification.
An implemented evaluation system and method based on detecting the handwriting clinical ability is shown in fig. 2, and the method comprises the following steps:
s0: and manufacturing a Chinese character recognition template, marking a positioning block in the Chinese character template, and setting the attribute of the positioning block.
S1: and carrying out area analysis on the scanned image, and finding out the template with the coincidence rate reaching a set threshold value with the image area.
S2: and matching the positioning blocks in the Chinese character template with the areas in the scanned images, and extracting and identifying the content information of the matched positioning blocks.
S3: classifying the content information of the identified positioning block, and classifying the evaluation information of the handwriting temporary writing capability into nine grades: the first, second and third are primary, the fourth, fifth and sixth are intermediate, the seventh, eighth and ninth are high, and then the evaluation and storage management of the handwriting temporary writing capability are completed.
Compared with the prior art, the invention has the advantages that: the system of the invention realizes the digitization of calligraphy writing ability detection, avoids careless mistakes caused by human factors, shortens the testing time, improves the testing reliability, establishes a growth file for sound students to learn calligraphy, reduces the workload for calligraphy teachers, and improves the calligraphy education and teaching efficiency.
As an improvement, the chinese character template refers to a closed graphic area including a boundary, the chinese character template includes one or more positioning blocks, wherein the positioning block refers to a closed rectangular frame inside the template and is used for identifying and marking the content in the matching area thereof, and both the template and the positioning block have additional attributes including a matching metric attribute and are used for measuring the coincidence rate of the template and the image and the coincidence rate of the positioning block and the image area, and are used as indexes of manual intervention.
As an improvement, the additional attributes of the positioning block further include:
1) identifying content types such as points, lines, graphics;
2) and the identification content clustering label is used for the system to classify the identification content according to the label.
3) A content verification rule, a rule for checking the identification content;
4) automatic deformation properties: and when the positioning block is superposed and compared with the image area, fine adjustment of the size and the position of the positioning block within a set threshold range is carried out.
The Chinese character template management device carries out connected domain analysis on a scanned image, carries out region segmentation on the image according to the characteristics of the connected domain, matches the image after region segmentation with a template in the template management device, and calculates the region overlapping rate, thereby finding out a corresponding template. Such connected domain analysis and matching methods are well known in the art.
As an improvement, the chinese character template management apparatus further includes a normalization process for normalizing the scanned image, where the normalization process is to correct image deformation caused in scanning, typically, the scanning view angle changes, and further, the size slightly changes, for example, the page bends. The normalization process helps to improve the efficiency and accuracy of template and scan image matching. The normalization of the scanned page is performed by known image processing techniques.
Drawings
FIG. 1 is a schematic diagram of the operation of an apparatus based on an evaluation system and method for detecting the handwriting literacy.
FIG. 2 is a flow chart of the use of an evaluation system and method based on detecting the handwriting literacy.
FIG. 3 is an image of a handwritten word in an embodiment of an evaluation system and method based on detecting the ability of the handwriting to be written.
FIG. 4 is a template diagram of a word stock in an embodiment of an evaluation system and method based on detecting the handwriting literacy.
FIG. 5 is a diagram of matching a locating block with a scanned image area in an embodiment of a system and method for detecting calligraphic literacy-based assessment.
As shown in the figure: 11. a Chinese character template making device 12, a Chinese character template management device 13, an identification execution device 14, a classification management device 41, a template outer frame 42, a positioning block 49 and a scanned image area.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The invention is implemented concretely, an evaluation system and method based on detecting calligraphy literacy, comprising a Chinese character template making device 11, a Chinese character template management device 12, an identification execution device 13 and a classification management device 14, wherein the Chinese character template making device 11 is used for making Chinese character templates and positioning blocks 42 in the Chinese character templates and setting the attributes of the positioning blocks 42, the Chinese character template management device 12 is used for managing all the Chinese character templates and finding out the Chinese character templates with the coincidence rate reaching a set threshold value with an image area, the identification execution device 13 is used for matching the positioning blocks 42 with the areas in a scanned image and extracting and identifying the content information matched with the positioning blocks 42, and the classification management device 14 is used for classifying the content information after identification.
An implemented evaluation system and method based on detecting the handwriting clinical ability is shown in fig. 2, and the method comprises the following steps:
s0: making a Chinese character recognition template, marking out a positioning block 42 in the Chinese character template, and setting the attribute of the positioning block 42.
S1: and carrying out area analysis on the scanned image, and finding out the template with the coincidence rate reaching a set threshold value with the image area.
S2: and matching the positioning blocks 42 in the Chinese character template with the areas in the scanned images, and extracting and identifying the content information of the matched positioning blocks 42.
S3: classifying the content information of the identified positioning block 42, and classifying the evaluation information of the handwriting temporary writing capacity into nine grades: the first, second and third are primary, the fourth, fifth and sixth are intermediate, the seventh, eighth and ninth are high, and then the evaluation and storage management of the handwriting temporary writing capability are completed.
The Chinese character template is a closed graphic area comprising a boundary, the Chinese character template comprises one or more positioning blocks 42, wherein the positioning blocks 42 are closed rectangular frames in the template and are used for identifying and marking the content in the matching area, and the template and the positioning blocks 42 both have additional attributes, comprise matching measurement attributes and are used for measuring the coincidence rate of the template and an image and the coincidence rate of the positioning blocks 42 and the image area and serve as indexes of manual intervention.
Additional attributes of the positioning block 42 include:
1) identifying content types such as points, lines, graphics;
2) and the identification content clustering label is used for the system to classify the identification content according to the label.
3) A content verification rule, a rule for checking the identification content;
4) automatic deformation properties: when the positioning block 42 is used for comparison with the image area, the size and position of the positioning block 42 are finely adjusted within a set threshold range.
The chinese character template management device 12 analyzes the connected domain of the scanned image, performs region segmentation of the image according to the characteristics of the connected domain, matches the region-segmented image with the template in the template management device, and calculates the region overlapping rate, thereby finding out the corresponding template. Such connected domain analysis and matching methods are well known in the art.
The chinese character template management device 12 further performs normalization processing on the scanned image, where the normalization processing is to correct image deformation caused in scanning, typically, the scanning view angle changes, and then the page curvature and the size slightly change. The normalization process helps to improve the efficiency and accuracy of template and scan image matching. The normalization of the scanned page is performed by known image processing techniques.
The working principle of the invention is as follows: FIG. 3 is an image of a character adjacent to the writing in the embodiment, and FIG. 4 is a template pattern of a library in the embodiment. In the template management device, a region analysis is performed according to fig. 3 to find out a template whose overlapping rate with the image region reaches a set threshold, in this embodiment, the layout template is as shown in fig. 4.
As can be seen from the figure, the template is composed of 2 parts, a template outer frame 41, and a positioning block 42 (one stroke corresponds to one positioning block, for example, if there are 9 strokes in the "spring" word, the corresponding positioning block is ①②③④⑤⑥⑦⑧⑨).
In this embodiment, the positioning blocks all include the following attributes:
1) identifying content types such as points, lines, graphics;
2) the identification content clustering label is used for the system to classify the identification content according to the label;
3) content verification rules: rules for checking the identification content.
4) Automatic deformation properties: and when the positioning block is superposed and compared with the image area, fine adjustment of the size and the position of the positioning block within a set threshold range is carried out.
Fig. 5 shows an embodiment in which the positioning block 42 is matched to the scanned image area 49. In the recognition execution device, first, the positioning block 42 in the template is matched with the scanned image area 49 according to the position, that is, the area is considered to be matched with the positioning block when the rectangular overlapping rate of the two areas reaches the set threshold value. This position matching technique is well known in the art and will not be described herein too much, and in the present embodiment, the threshold is set to 90% (or manually adjusted), that is, the coincidence rate of the positioning block 42 and the scanned image area 49 in the kanji template reaches 90% or more, and the area is considered to match the positioning block. In this embodiment, as shown in fig. 5.
In the embodiment, the content information of the positioning blocks is classified according to a matching principle in the identification execution device, the coincidence rate of the positioning blocks in the Chinese character template and the scanned image area is between 64% and 90%, and the evaluation score of a testee is high; the coincidence rate of the positioning block and the scanned image area in the Chinese character template is between 37 and 63 percent, and the evaluation score of a testee is a middle grade; the coincidence rate of the positioning block and the scanned image area in the Chinese character template is between 1% and 36%, and the evaluation score of a testee is primary; each level is further divided into three different quantization levels for storage and management. In this example, the following table one shows.
Figure BDA0002203769200000041
Watch 1
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the invention, "plurality" means two or more unless explicitly defined otherwise.
In the present invention, unless otherwise specifically stated or limited, the terms "mounted," "connected," "fixed," and the like are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly above and obliquely above the second feature, or simply meaning that the first feature is at a lesser level than the second feature.
In the description herein, reference to the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made in the above embodiments by those of ordinary skill in the art without departing from the principle and spirit of the present invention.

Claims (5)

1. An evaluation system and method based on detecting the handwriting ability comprises a Chinese character template making device (11), a Chinese character template management device (12), an identification execution device (13) and a classification management device (14), wherein the Chinese character template making device (11), used for making Chinese character templates and positioning blocks (42) in the Chinese character templates, and setting the attributes of the positioning blocks (42), the Chinese character template management device (12), used for managing all Chinese character templates and finding out the Chinese character template with the coincidence rate reaching the set threshold value with the image area, the identification executing device (13), for matching the positioning block (42) with a region in the scanned image, extracting and identifying content information of the matched positioning block (42), the classification management device (14) is used for classifying the content information which is completely identified.
An implemented evaluation system and method based on detecting the handwriting clinical ability is shown in fig. 2, and the method comprises the following steps:
s0: and manufacturing a Chinese character recognition template, marking a positioning block (42) in the Chinese character template, and setting the attribute of the positioning block (42).
S1: and carrying out area analysis on the scanned image, and finding out the template with the coincidence rate reaching a set threshold value with the image area.
S2: and matching the positioning blocks (42) in the Chinese character template with the areas in the scanned image, and extracting and identifying the content information of the matched positioning blocks (42).
S3: classifying the content information of the identified positioning block (42), and dividing the evaluation information of the handwriting temporary writing capacity into nine grades: the first, second and third are primary, the fourth, fifth and sixth are intermediate, the seventh, eighth and ninth are high, and then the evaluation and storage management of the handwriting temporary writing capability are completed.
2. The system and method for assessing the clinical ability of calligraphy based on detection as claimed in claim 1, wherein: the Chinese character template is a closed graphic area comprising a boundary, the Chinese character template comprises one or more positioning blocks (42), wherein the positioning blocks (42) are closed rectangular frames inside the template and used for identifying and marking the content in the matching area of the template, the template and the positioning blocks (42) both have additional attributes, comprise matching measurement attributes and are used for measuring the coincidence rate of the template and an image and the coincidence rate of the positioning blocks (42) and the image area and used as indexes of manual intervention.
3. The system and method for assessing the clinical ability of calligraphy based on detection as claimed in claim 1, wherein: additional attributes of the positioning block (42) further include:
1) identifying content types such as points, lines, graphics;
2) and the identification content clustering label is used for the system to classify the identification content according to the label.
3) A content verification rule, a rule for checking the identification content;
4) automatic deformation properties: when the positioning block (42) is overlapped and compared with the image area, the size and the position of the positioning block (42) are finely adjusted within a set threshold range.
4. The system and method for assessing the clinical ability of calligraphy based on detection as claimed in claim 1, wherein: the Chinese character template management device (12) analyzes the connected domain of the scanned image, divides the region of the image according to the characteristics of the connected domain, matches the image after the region division with the template in the template management device, and calculates the region overlapping rate, thereby finding out the corresponding template. Such connected domain analysis and matching methods are well known in the art.
5. The system and method for assessing the clinical ability of calligraphy based on detection as claimed in claim 1, wherein: the Chinese character template management device (12) also comprises a normalization processing unit for normalizing the scanned image, wherein the normalization processing unit is used for correcting image deformation caused in scanning, typically, the scanning view angle changes, and then, the page bending changes slightly. The normalization process helps to improve the efficiency and accuracy of template and scan image matching. The normalization of the scanned page is performed by known image processing techniques.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113191309A (en) * 2021-05-19 2021-07-30 杭州点望科技有限公司 Method and system for recognizing, scoring and correcting handwritten Chinese characters
CN117830044A (en) * 2024-03-04 2024-04-05 江苏汉丹云教育科技有限公司 Interactive teaching data management system and method based on cloud computing
CN117830044B (en) * 2024-03-04 2024-05-17 江苏汉丹云教育科技有限公司 Interactive teaching data management system and method based on cloud computing

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CN102567711A (en) * 2010-12-29 2012-07-11 方正国际软件(北京)有限公司 Method and system for making and using scanning recognition template
CN109886256A (en) * 2019-04-24 2019-06-14 北京盛世宣合信息科技有限公司 Intelligence evaluation and test equipment and system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567711A (en) * 2010-12-29 2012-07-11 方正国际软件(北京)有限公司 Method and system for making and using scanning recognition template
CN109886256A (en) * 2019-04-24 2019-06-14 北京盛世宣合信息科技有限公司 Intelligence evaluation and test equipment and system

Cited By (3)

* Cited by examiner, † Cited by third party
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CN113191309A (en) * 2021-05-19 2021-07-30 杭州点望科技有限公司 Method and system for recognizing, scoring and correcting handwritten Chinese characters
CN117830044A (en) * 2024-03-04 2024-04-05 江苏汉丹云教育科技有限公司 Interactive teaching data management system and method based on cloud computing
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