Identification method and device

Abstract

The invention provides an identification method and device. The identification method comprises the steps: obtaining a to-be-identified character image; inputting the to-be-recognized character imageinto a character recognition model, and extracting character features of the to-be-recognized character image through a feature extraction layer in the character recognition model; generating an intermediate feature vector according to the character features, and processing the intermediate feature vector through a full connection layer in the character recognition model to obtain a multi-dimensional feature vector; inputting the multi-dimensional feature vector into an output layer in the character recognition model for vector conversion, and outputting a recognition result of characters in the to-be-recognized character image. According to the recognition method provided by the invention, the correctness of the handwritten characters can be detected while the handwritten characters are recognized, so more application scenes are enriched, and the recognition efficiency and the recognition accuracy can be effectively improved.

Description

technical field [0001] This application relates to the technical field of natural language processing, in particular to a recognition method and device. Background technique [0002] Natural Language Processing (NLP) is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between humans and computers using natural language. [0003] With the development of natural language processing technology, it is applied in more and more scenarios, such as speech recognition, text recognition, or typo discrimination scenarios; There are many kinds, such as radical combination errors, stroke order errors, multiple stroke errors, few stroke errors, structural errors, etc. Wrong characters often look like correct characters, which are difficult to distinguish, and the errors are in various forms, cannot be predicted, and are difficult to summarize, so An effective solution is u...

AI Technical Summary

Problems solved by technology

[0003] With the development of natural language processing technology, it is applied in more and more scenarios, such as speech recognition, text recognition, or typo discrimination scenarios; There are many kinds, such as radical combination errors, stroke order errors, multiple stroke errors, few stroke errors, structural errors, etc. Wrong characters often look like correct characters, which are difficult to distinguish, and the errors are in various forms, cannot be predicted, and are difficult to summarize, so An effective solution is urgently needed to solve this problem

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