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Point density nonlinear normalized character recognition method and device

A normalized, non-linear technology, applied in the field of handwriting recognition, can solve the problem of being unable to distinguish between "日" and "日", and achieve the effect of reducing deformation and improving reliability

Active Publication Date: 2010-12-01
BEIJING SINOVOICE TECH CO LTD
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Problems solved by technology

In addition, for Chinese characters such as "日", a full-scale "日" character is obtained after nonlinear normalization, and it will be impossible to distinguish "日" from "日" in the final recognition

Method used

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  • Point density nonlinear normalized character recognition method and device
  • Point density nonlinear normalized character recognition method and device
  • Point density nonlinear normalized character recognition method and device

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Embodiment Construction

[0042] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] refer to figure 1 , which shows a flow chart of Embodiment 1 of a nonlinear normalized text recognition method of the present invention, including:

[0044] Step 101, for the handwritten track of the current text input by the user, obtain the circumscribed rectangle of the handwritten track;

[0045] The width of the circumscribed rectangle is horizontal, and the height is vertical. Specifically, vertical straight lines are drawn on the left boundary point and right boundary point of the handwriting track respectively, horizontal straight lines are drawn on the upper boundary point and the lower boundary point of the handwriting track respectively, and the area surrounded by the four straight lines is the The bounding rec...

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Abstract

The invention provides a point density nonlinear normalized character recognition method and a device, and the method comprises the following steps: obtaining an external rectangle of a handwritten trajectory against the handwritten trajectory of a current character inputted by a user; judging whether the width / height ratio of the external rectangle is in a preset ratio range or not; if so, expanding the external rectangle to a square, carrying out point density nonlinear normalization treatment on various pixel points in the handwritten trajectory in a two-dimensional coordinate plane of the square, and obtaining coordinates of the various pixel points after normalization; if not, directly carrying out the point density nonlinear normalization treatment on the various pixel points in the handwritten trajectory in the two-dimensional coordinate plane of the external rectangle, and obtaining the coordinates of the various pixel points after the normalization. The use of the method and the device can reduce the deformation and the distortion in character recognition and improve the reliability of the recognition.

Description

technical field [0001] The invention relates to the technical field of handwriting recognition, in particular to a point density nonlinear normalized character recognition method and device. Background technique [0002] In handwriting recognition, it is necessary to preprocess the Chinese characters input by the user. Since the characters are of different sizes, in order to facilitate the extraction of character features, it is necessary to normalize the size of the samples. Normalization can be divided into two methods: linear normalization and nonlinear normalization. Linear normalization is to linearly enlarge or reduce the text image according to a certain scale factor, where the scale coefficients in the X direction and the Y direction can be the same or different. The general method is to adjust each character block into a square, that is, first surround the character block with a frame, and then stretch the frame into a square. This method is mainly based on the ass...

Claims

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Application Information

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IPC IPC(8): G06F3/041
Inventor 李健张连毅武卫东
Owner BEIJING SINOVOICE TECH CO LTD
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