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Normalization based handwriting identifying method and identifying device
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A handwriting recognition and normalization technology, applied in the field of handwriting recognition, can solve the problems of recognition errors, misrecognition as a "month" and a "birth", incomparability, etc., and achieve the effect of accurate and reliable recognition
Active Publication Date: 2012-10-03
BEIJING SINOVOICE TECH CO LTD
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However, for different input stroke trajectories, this distance is not comparable, that is, the distance between characters is not comparable. When a character with a relatively complex structure is input, recognition errors may occur according to the method described , specifically, such as inputting a "month" and a "sheng", the above method may recognize it as a "sheng", or when the input is a "sheng", subject to the incomparable distance between the words Qualified, misidentifying it as a "month" and a "birth"
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Embodiment 1
[0050] refer to figure 1 , shows a flow chart of a handwriting recognition method based on normalization of the present invention, the method specifically includes:
[0051] S101, creating a training data set; the data set includes a handwriting sample set of each character;
[0052] The creation of the training data set is all handwritten sample sets including all characters. For example, in a Chinese character set GB2312, there are 6763 characters including "flag", "open", "get", "win" and so on. Each Each character has multiple training samples, such as 1000, 2000 or any other arbitrary number of training samples.
[0053] Preferably, the creation of a training data set includes the following sub-steps:
[0054] collect handwritten sample sets of each character;
[0055] Create a training dataset with the collected handwriting sample set for each character.
[0056]Specifically, when creating the training data set, first collect the handwritten sample set of each charac...
Embodiment 2
[0086] refer to figure 2 , shows a structural diagram of a handwriting recognition device based on normalization of the present invention, said device comprising:
[0087] Creation module 201, is used for creating training data set; The handwriting sample set that comprises each character in the described data set;
[0088] The statistical module 202 is used to count the distance within each character in the sample set; the distance within the character is also the recognition distance provided by the recognition engine, including the characteristics of the relative coordinate position of the stroke feature of the character;
[0089] Obtaining module 203, used to obtain the covariance of the distance within each sample set;
[0090] A receiving module 204, configured to receive an inputted stroke trajectory;
[0091] Calculation module 205, is used for calculating the distance within the word of each character from the received stroke trajectory;
[0092] Normalization pro...
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Abstract
The invention provides a normalization based handwriting identifying method and an identifying device. The method comprises the following steps of calculating distance within characters for each character in a sample set by establishing a training data set which includes a handwriting sample set of each character, wherein the distance within characters is the identifying distance given by an identification engine, including the characteristic of relative coordinate position of the character stroke feature; acquiring covariance of the distance within characters of each sample set; receiving aninput stroke locus; calculating the distance within characters from the received stroke locus to each character; normalizing the calculated distance within characters by using the covariance of each sample set to acquire Mahalanobis distance; sequencing according to the acquired Mahalanobis distance, and weighting the distance within characters of characters in high ranking; and outputting a preset number of weighted characters with high ranking to complete accurate and reliable character identification.
Description
technical field [0001] The invention relates to the technical field of handwriting recognition, in particular to a normalization-based handwriting recognition method and recognition device. Background technique [0002] Handwriting Recognition (Handwriting Recognize) refers to the process of converting the handwritten trajectory information generated when writing on the handwriting device into the internal code of Chinese characters. In fact, it is a mapping process from the coordinate sequence of the handwritten trajectory to the internal code of Chinese characters. One of the most natural and convenient means of interaction. With the popularization of mobile information tools such as smart phones and PDAs, handwriting recognition technology has also entered the era of large-scale application. Handwriting recognition enables users to input text in the most natural and convenient way, easy to learn and use, and can replace keyboard or mouse. In practical applications, ther...
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