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AssigneeBeijing Baidu Netcom Science Technology Co., Ltd.
InventorsXiaoqiang Zhang, Chengquan Zhang, Shanshan Liu
Estimating the term…
A character recognition method, a character recognition apparatus, an electronic device and a computer readable storage medium are disclosed. The character recognition method includes: determining semantic information and first position information of each individual character recognized from an image; constructing a graph network according to the semantic information and the first position information of each individual character; and determining a character recognition result of the image according to a feature of each individual character calculated by the graph network.
A character recognition method, comprising:
A character recognition apparatus, comprising:
Dependencies are inferred from the claim text.
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Knowledge representation; Symbolic representation: knowledge engineering; Knowledge acquisition
Relating to the classification model, e.g. parametric or non-parametric approaches: based on distances to training or reference patterns
Architecture, e.g. interconnection topology: combinations of networks
Architecture, e.g. interconnection topology: convolutional networks [CNN, ConvNet]
About 15 years of term left · ends 14 Oct 2041 (estimated)
This application claims priority to Chinese Patent Application No. 202010616043.8, filed on Jun. 30, 2020, which is hereby incorporated by reference in its entirety.
The present application relates to the technical field of computer, in particular to the technical field of artificial intelligence, deep learning and computer vision technology.
The end-to-end character detection and recognition technology in natural scenes may be widely used in various industries in society, such as education, medical care, and finance. Common technologies derived from the character detection and recognition technology, such as recognition of cards and bills, automatic entry of documents and photo search, have greatly improved intelligence and production efficiency of traditional industries, and facilitated people's daily life and learning.
The drawings are included to provide a better understanding of the application and are not to be construed as limiting the application. Wherein:
FIG. 1 is a schematic diagram of a character recognition method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a character recognition method according to another embodiment of the present application;
The exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, a person skilled in the art should appreciate that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and structures are omitted from the following description for clarity and conciseness.
In the related art, although the end-to-end character detection and recognition technology in natural scenes has been developed rapidly, it still has certain problems, such as inability to accurately recognize characters in images, character recognition errors or unrecognized situations.
According to an embodiment of the present application, as shown in FIG. 1, the present application provides a character recognition method, including the following steps.