Alibaba Group Holding Limited

Wenmeng Zhou

Mengli Cheng

Xudong Mao

Wei Chu

Xing Shi

Xing Chu

A character recognition method and apparatus are disclosed, relate to the field of image recognition technologies, reduce a calculation time, and increase character recognition efficiency. The method includes: obtaining picture data (); performing calculation on the picture data by using calculation layers shared by a first classifier and a second classifier, to obtain a first result, where the first classifier is a classifier for recognizing a specific character in the picture data, and the second classifier is a classifier for recognizing whether the picture data is a character picture (); performing calculation by bringing the first result into remaining calculation layers other than the shared calculation layers in the first classifier, to obtain a first probability corresponding to each character (); performing calculation by bringing the first result into remaining calculation layers other than the shared calculation layers in the second classifier, to obtain a second probability (); calculating, based on the first probability and the second probability, a confidence value that the picture data is recognized as each character (); and outputting a character recognition result based on the confidence ().

Character recognition method and device

In an optical character recognition system, a word segmentation method, comprising: acquiring a sample image comprising a word spacing marker or a non-word spacing marker; processing the sample image with a convolutional neural network to obtain a first eigenvector corresponding to the sample image, a word spacing probability value and/or a non-word spacing probability value corresponding to the first eigenvector; acquiring a to-be-tested image, and processing the to-be-tested image with the convolutional neural network to obtain a second eigenvector corresponding to the to-be-tested image, a word spacing probability value or a non-word spacing probability value corresponding to the second eigenvector; and performing word segmentation on the to-be-tested image by using the just obtained word spacing probability value or the non-word spacing probability value. In embodiments, word segmentation can be performed accurately, so that accuracy and speed of the word segmentation are improved, and user's experience is enhanced.

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Hangzhou, China

Wenmeng Zhou