Method for identifying multi-language multi-font characters from natural scene image
An image and text technology, applied in the field of text recognition, can solve the problem of not being able to recognize text effectively
Active Publication Date: 2014-04-02
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology
[0010] The technical problem to be solved by the present invention is that the existing technology for recognizing characters from images cannot effectively recognize characters in complex natural scene images
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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0040] In order to solve the problems in the existing technology of recognizing characters from images, the present invention proposes a method for robustly locating, detecting and recognizing characters from images. figure 1 It is a flow chart of the method for recognizing characters from images in the present invention. Such as figure 1As shown, the method of the present invention comprises the following steps performed in sequence:
[0041] Step A, extract feature points from the image to be recognized, and obtain feature descriptors of the feature points. The feature descriptor is an operator used to describe feature points.
[0042] A feature point is a robust point of interest in an image that can reflect image c...
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The invention discloses a method for identifying characters from an image. The method comprises the following steps of: extracting characteristic points from the image, acquiring characteristic descriptors of the characteristic points, and screening the obtained characteristic descriptors; and growing a plurality of candidate areas based on the characteristic points and according to the position and scale information of the characteristic points described by the screened characteristic descriptors, wherein each candidate area comprises a plurality of characteristic points. The method also comprises the following steps of: training to obtain a classifier by virtue of a picture database, classifying all the characteristic descriptors in the candidate areas by the classifier, calculating possibility parameters which show that the candidate areas are character areas according to the classification result, comparing the possibility parameters with a threshold value so as to judge whether the candidate area is the character area, and performing character recognition on the candidate area which is judged to be the character area. The method can detect the characters of different sizes, colors, fonts and languages under various difficult conditions.
Description
technical field [0001] The invention belongs to the technical field of character recognition in computer vision and pattern recognition, and in particular relates to a method for locating a character area in an image and recognizing characters, especially for recognizing multi-fonts (including handwriting and brush characters), multi-character characters from complex natural scene images. language method. Background technique [0002] In recent years, with the proliferation of cheap and powerful hand-held cameras and smartphones, people can easily obtain a large number of digital images. These images may contain a large amount of textual information, such as appearing in billboards, building signs, road signs, license plates, and roadside announcements. If we can use this kind of text information, the accuracy of image and scene understanding technology can be greatly improved. Applications that require this technology include license plate recognition, automatic place nam...
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IPC IPC(8): G06K9/20G06K9/62
Inventor 毛俊骅李厚强周文罡田奇
Owner UNIV OF SCI & TECH OF CHINA