Calligraphy evaluation method and system
An evaluation method and calligraphy technology, applied in the field of image recognition, to provide evaluation efficiency, good generalization, and good accuracy.
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Embodiment 1
[0039] The embodiment of the present invention provides a calligraphy evaluation method, which can be applied to the grade evaluation of soft pen or hard pen calligraphy, such as figure 1 As shown, the method includes the following steps:
[0040] Step S1: According to the corresponding evaluation grades of different types of calligraphy, classify and process calligraphic characters of the same type, and construct character libraries corresponding to different grades of calligraphy of multiple types.
[0041] In the embodiment of the present invention, different types of calligraphy refer to different calligraphy fonts, including running script fonts, cursive script fonts, official script fonts, seal script fonts, and regular script fonts
[0042] As well as a variety of divided fonts included in different fonts, etc., it is only an example and not limited thereto. Corresponding evaluation of different types of calligraphy, etc.
[0043] The grades are only the grades corres...
Embodiment 2
[0059] The embodiment of the present invention provides a calligraphy evaluation system, such as figure 2 shown, including:
[0060] Font library building module 1 is used to classify and process calligraphy characters of the same category according to the corresponding evaluation grades of different types of calligraphy, and build a font library corresponding to different grades of calligraphy of various categories; this module executes the steps described in Step S1 in Embodiment 1. method, which will not be repeated here.
[0061] The recognition model training module 2 is used to collect calligraphy image characters of different categories and label them with names as a training set, and train the neural network model to obtain a trained recognition model; this module executes step S2 in Embodiment 1 The described method is not repeated here.
[0062] The character name recognition module 3 is used to perform binarization segmentation for the calligraphy image to be eva...
Embodiment 3
[0066] An embodiment of the present invention provides a computer device, such as image 3 As shown, the device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected by a bus or other means, image 3 Take connection via bus as an example.
[0067] As a non-transitory computer-readable storage medium, the memory 52 can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as corresponding program instructions / modules in the embodiments of the present invention. The processor 51 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 52, ie, implements the calligraphy evaluation method in the above method embodiment 1.
[0068] The memory 52 may include a storage program area and a storage data area, wherein the storage program area may store an operating ...
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