首页>
外国专利>
OPTICAL CHARACTER RECOGNITION USING SPECIALIZED CONFIDENCE FUNCTIONS, IMPLEMENTED ON THE BASIS OF NEURAL NETWORKS
OPTICAL CHARACTER RECOGNITION USING SPECIALIZED CONFIDENCE FUNCTIONS, IMPLEMENTED ON THE BASIS OF NEURAL NETWORKS
展开▼
机译:基于神经网络的基于特定置信度函数的光学字符识别
展开▼
页面导航
摘要
著录项
相似文献
摘要
FIELD: information technology.;SUBSTANCE: optical character recognition systems and methods using specialized confidence functions implemented based on a neural network. An example of the method includes obtaining a grapheme image; calculating, by a neural network, a feature vector representing a grapheme image in the image feature space; and calculating a confidence vector associated with an image of the grapheme, where each element of the confidence vector displays distance in the feature space of images between the feature vector and the class center from the set of classes, wherein said class is identified by the confidence vector element index.;EFFECT: high efficiency of optical character recognition, including optical recognition of grapheme, by using confidence functions to minimize errors.;25 cl, 7 dwg
展开▼