Handwritten elementary mathematical formula identification method based on structure enhancement
A technique of elementary mathematics and structural enhancement, applied in the field of mathematical formula recognition, which can solve the problem that input and output are not strictly one-to-one correspondence, etc.
Active Publication Date: 2021-12-03
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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[0006] Recurrent neural networks usually require input and output to be the same length, because each input corresponds to an output. However, the input and output of many problems are not strictly one-to-one correspondence, such as machine translation
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[0070] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0071] A method for recognizing handwritten elementary mathematics formulas based on structure enhancement, such as figure 1 shown, including the following steps:
[0072] S1. Obtain an image containing a handwritten mathematical formula, and perform multi-scale feature extraction on the acquired image to obtain two-dimensional feature maps of multiple handwritten mathematical formulas;
[0073] In order to make the mathem...
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The invention discloses a handwritten elementary mathematical formula identification method based on structure enhancement. The method comprises the following steps that: feature maps are extracted from pictures with different sizes by using an encoder module; the feature of each character in a feature map is followed by using a decoder module based on a structure-enhanced attention mechanism, then the character type is decoded, and the method for recognizing the handwritten mathematical formula is provided for the recognition problems of complex two-dimensional structures, nesting of the two-dimensional structures and the like involved in the handwritten mathematical formula. Specifically, an attention mechanism based on structure enhancement is provided for the complex two-dimensional structure problem of the mathematical formula, a global information updating mechanism based on a stack structure is provided for the continuous nesting problem of the mathematical formula, and the recognition problem of the handwritten mathematical formula is effectively solved.
Description
technical field [0001] The invention relates to, in particular, a method for recognizing handwritten elementary mathematical formulas based on structure enhancement. Background technique [0002] At present, with the application and development of computers, portable smart devices and the Internet in the field of education, the rapid development of online education, and in order to further reduce the pressure on teachers, the demand for an automatic marking system has become an urgent need at present. Among them, the use of handwritten mathematical formulas Recognition is the basis of the mathematics automatic marking system. However, handwritten mathematical formulas are difficult to recognize due to the diversity of handwritten samples, the complex structure of mathematical formulas, and the nesting of structures. [0003] Attention Mechanism: [0004] As early as the 1990s, the attention mechanism (Attention Mechanism, AM) has become more and more important in the neura...
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Login to View More IPC IPC(8): G06K9/00G06N3/04
CPCG06N3/044Y02D10/00
Inventor 符红光钟秀琴黄磊赵磊
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA