Handwritten number recognition and incremental type obscure support vector machine method
A technology of fuzzy support vector and digital recognition, applied in character and pattern recognition, computer parts, instruments, etc., to achieve high recognition accuracy and easy operation
Inactive Publication Date: 2013-03-20
XINYANG NORMAL UNIVERSITY
View PDF4 Cites 12 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0016] For above-mentioned situation, the object of the present invention is exactly to provide a kind of incremental fuzzy support vector machine method of handwritten numeral recognition, can effectively solve the problem of handwritten numeral accurate recognition
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0024] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0025] Depend on figure 1 Given, the present invention in practice, comprises the following steps:
[0026] 1. Image acquisition and binarization of handwritten digits; 2. Construct training set; 3. Construct incremental function; 4. Set incremental parameters to train incremental fuzzy support vector machine; 5. Identify known handwritten digits and check Accuracy: When the inspection accuracy meets the requirements, it is used to identify unknown handwritten digits; when the inspection accuracy does not meet the requirements, return to step 4, and re-set the incremental parameter training incremental fuzzy support vector machine; 6. Identify unknown handwritten digits ;
[0027] In the above steps, constructing an incremental function to set incremental parameters, constructing an incremental fuzzy support vector machine and...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to a handwritten number recognition and incremental type obscure support vector machine method, and can effectively solve the problem of handwritten number accuracy recognition. The technical scheme includes the following steps: collecting images of handwritten numbers, and carrying out binarization processing; segmenting the collected images; formatting a training set with the images of the handwritten numbers to be input and the numbers from zero to nine to be output; formatting an increment function which is mapped to an interval between zero to one; setting lambada to represent an incrementation parameter and a computing complexity parameter of an obscure support vector machine; determining the category of the handwritten numbers according to a classification hyperplane between any two handwritten numbers; examining recognition accuracy on known category handwritten numbers to determine the method of the category of the handwritten numbers; and meeting the requirement of user recognition accuracy and recognizing unknown handwritten numbers. The method is high in recognition accuracy, suitable for practice and recognition of the support vector machine, simple and easy to operate, and is an innovation based on the handwritten number recognition and incremental type obscure support vector machine method.
Description
technical field [0001] The invention relates to image processing and pattern recognition, in particular to an incremental fuzzy support vector machine method for handwritten digit recognition, which can be effectively used in the field of handwritten digit recognition such as postal codes, statistical reports, financial statements, bank bills and the like. Background technique [0002] Support Vector Machines (SVMs, Support Vector Machines) is a classification method based on the classification of two types of problems. Its basic idea is to maximize the separation of two types of training samples, that is, for a training sample of two types of problems, Construct a classification hyperplane to maximize the classification interval. [0003] Support vector machine is a classifier based on the classification of two types of problems. How to extend it to multi-class problems is an important aspect in the research field of support vector machines. At present, the most used metho...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06K9/62G06K9/54G06K9/00
Inventor 刘宏兵邬长安柳春华郭颂周文勇熊吉春
Owner XINYANG NORMAL UNIVERSITY