Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Device and method for recognizing character

A character recognition and character technology, applied in the field of optical character recognition, can solve the problem of sacrificing the classification performance of support vector machine classifiers

Inactive Publication Date: 2009-02-25
FUJITSU LTD
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is a post-processing of the training results of the support vector machine, which is an approximation to the decision function, at the cost of sacrificing part of the classification performance of the support vector machine classifier

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Device and method for recognizing character
  • Device and method for recognizing character
  • Device and method for recognizing character

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0118] figure 1 It is a schematic structural block diagram of the character recognition device 10 according to the first embodiment of the present invention. Such as figure 1As shown, the character recognition device 10 of the first embodiment of the present invention is connected with an input device 20 and an output device 30 . The input device 20 inputs the character image as the training sample or the character image to be recognized to the character recognition device 10, and can be an image reading device such as a scanner, a handwriting input device such as a tablet, or a driver interface of an image recording medium such as a disk . The character recognition device 10 learns based on the training sample character image input through the input device 20 to obtain a plurality of sparse support vector machine classifiers, and based on the plurality of sparse support vector machine classifiers, the characters to be recognized input through the input device 20 The image ...

no. 2 example

[0163] Another embodiment of the present invention will be described below.

[0164] In the second embodiment, the class posterior probability is further calculated for the classification results of each sparse support vector machine, and the final recognition result is determined according to the class posterior probability. In the following description, the difference between the second embodiment and the first embodiment will be explained emphatically. For the same or corresponding parts, the same or corresponding symbols will be given in the drawings, and repeated description will be omitted.

[0165] Figure 7 A schematic block diagram of the character recognition device 10' of the second embodiment is shown. The character recognition device 10 ′ of the second embodiment is connected to the input device 20 and the output device 30 as in the first embodiment. The input device 20 inputs a character image as a training sample or a character image to be recognized to the ch...

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

No PUM Login to View More

Abstract

The invention provides a character recognition device and a method. The character recognition device comprises a feature vector extraction unit which extracts feature vectors of a character image from a training character image or a character image to be recognized; a training unit for carrying out study according to a training sample set which is composed of the feature vectors of the training character image and output by the feature vector extraction unit, thereby obtaining a plurality of sparse support vector machine classifiers; a storage unit for storing a training result of the training unit; and a recognition unit for calculating outputs of various sparse support vector machine classifiers to the feature vectors of the character image which is ready to be recognized and output by the feature vector extraction unit, thereby determining a character which is corresponding to the character image to be recognized; wherein, the training unit reduces the number of support vectors in decision functions of the sparse support vector machine classifiers by introducing 0-norm regularization items into target functions of the sparse support vector machine classifiers.

Description

technical field [0001] The present invention relates to optical character recognition (Optical Character Recognition, OCR) technology, particularly, relate to fast, high-accuracy for the character set of small category (as " handwritten digit recognition ", only contain 10 numerals '0', '1' , ..., '9'; or "printed English character recognition", only contains 52 letters 'a', ..., 'z', 'A', ..., 'Z') for recognition Apparatus and methods. Background technique [0002] Optical character recognition is widely used in various fields. The so-called optical character recognition refers to converting the text of various bills, newspapers, books, manuscripts and other printed materials into image information through optical input methods such as scanning, and then using character recognition technology to convert the image information into data information that can be used by computers. [0003] In character recognition, it is necessary to prepare a dictionary for recognition in a...

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
no application Login to View More
IPC IPC(8): G06K9/72
Inventor 郑大念黄开竹孙俊堀田悦伸藤本克仁直井聪
Owner FUJITSU LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com