Indicator content identification method, device and apparatus
A content recognition and signage technology, applied in character recognition, character and pattern recognition, instruments, etc., can solve the problems affecting the application of navigation information, blurred signs, abnormal reflections, etc., to ensure navigation accuracy and improve recognition accuracy. degree of effect
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Embodiment 1
[0034] This embodiment provides a method for identifying sign content, such as figure 1 As shown, the method may include the following steps:
[0035] Step 100, identifying text and graphic symbols in the picture of the sign.
[0036] Wherein, the picture of the sign can be obtained by shooting the sign, for example, it can be taken by a camera on the vehicle, or it can be taken by a vehicle recorder. The sign picture may include various character elements such as text and graphic symbols, and multiple texts form text lines, and different text lines are distributed at different positions of the graphic symbols.
[0037] E.g, figure 2 The signage picture shown includes the following character elements:
[0038] Road name text lines in Chinese: "Guanghua Road", "Shiyang Road", "Junnong Road", "Youyihe Road" and "Ninghang Expressway", etc.;
[0039] Road name text lines in pinyin: "GUANGHUALU", "SHIYANGLU", "JUNNONGLU" and "NINGHANGGAOSU" etc.;
[0040] Distance text line: ...
Embodiment 2
[0081] This embodiment provides a device for identifying sign content, which can be installed in a local server or a cloud server. Recognition is carried out, and the recognized results are added to the electronic map data for users to use.
[0082] Such as Figure 5 As shown, the sign content recognition device may include: a graphic recognition module 10 , a character recognition module 20 , a block division module 30 , a text determination module 40 , a direction determination module 50 , a road name matching module 60 and a content determination module 70 . It works as follows:
[0083] The graphic recognition module 10 recognizes graphic symbols in the picture of the sign; the character recognition module 20 recognizes the text in the picture of the sign. Specifically, the text area of each text can be determined using optical detection technology, and the text in each text area can be identified using a neural network analysis model.
[0084] The block dividing modu...
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