A method, device, electronic equipment and storage medium for automatically counting test paper scores
A statistical method and score technology, applied in the field of image processing, can solve problems such as consuming more time and energy, increasing the workload of teachers, and increasing costs.
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Embodiment 1
[0070] Please refer to figure 1 Shown, a kind of test paper score automatic statistics method, it comprises the following steps:
[0071] Step 1. Perform image acquisition on the target test paper to obtain the initial image.
[0072] The target test paper is the test paper for which scores are to be counted. It can be one test paper or multiple test papers of the same type (that is, one class and one grade of the same type, such as Chinese test papers). Here, one test paper is used as the score of the target test paper Statistics are used as an example to explain and illustrate.
[0073] The image of the target test paper collected by the image acquisition device is used to obtain an initial image to figure 2 The initial image shown is taken as an example, and the initial image is stored in a storage device for the call of the fitting process in step 2. The process of image acquisition and storage and the process of recognition adopt dual threads.
[0074] Step 2. Fitting...
Embodiment 2
[0109] Embodiment 2 discloses a kind of test paper score automatic counting device corresponding to the above-mentioned embodiment, which is the virtual device structure of the above-mentioned embodiment, please refer to Figure 9 shown, including:
[0110] An image acquisition module 71, configured to perform image acquisition on the target test paper to obtain an initial image;
[0111] Fitting module 72, is used for fitting described initial image, to obtain the target digital area image in initial image, described target digital area image is the fitting image that comprises a plurality of handwritten numerals;
[0112] Segmentation module 73, is used for dividing described fitted image by integral centroid method, obtains segmented image, and the number of described segmented image is the quantity of preset category;
[0113] Training module 74, is used for applying MNIST data set as training sample, single handwritten digit recognition algorithm model LeNet-5 is trained...
Embodiment 3
[0117] Figure 10 A schematic structural diagram of an electronic device provided in Embodiment 3 of the present invention, such as Figure 10 As shown, the electronic device includes a processor 81, a memory 82, an input device 83 and an output device 84; the number of processors 81 in the computer device can be one or more, Figure 10 Take a processor 81 as an example; the processor 81, memory 82, input device 83 and output device 84 in the electronic equipment can be connected by bus or other methods, Figure 10 Take connection via bus as an example.
[0118] Memory 82, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the method for automatically counting test paper scores in the embodiment of the present invention (for example, an automatic test paper score counting device The image acquisition module 71, the fitting module 72, the segmentation mo...
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