Method and apparatus for recognizing character string in image

A computing device for recognizing a character string in an image comprising one or more processors, memory and one or more programs stored in the memory that, when executed by the one or more processors, cause the computing device to perform a plurality of operations including:

• constructing an expression of a probability set corresponding to a character string recognition result of a pre-stored sample image block of a character string based on a convolutional neural network algorithm, the expression of the probability set being constituted by a plurality of to-be-determined parameters of the convolutional neural network algorithm, and probabilities in the probability set used for indicating a probability that a character at one of a preset quantity of character positions is one of a plurality of preset characters;
• training the plurality of to-be-determined parameters to obtain a training value for each to-be-determined parameter based on a training target of maximizing a probability that the character string recognition result determined according to the probability set is the character string comprised in the pre-stored sample image block;
• obtaining a to-be-recognized target image block;
• calculating, based on the convolutional neural network algorithm and the training values of the plurality of to-be-determined parameters, a target probability set corresponding to the target image block;
• and
• determining, according to the target probability set, a character string recognition result of the target image block.

A non-transitory computer readable storage medium storing one or more programs that, when executed by one or more processors of a computing device for recognizing a character string in an image, cause the computing device to perform a plurality of operations including:

• constructing an expression of a probability set corresponding to a character string recognition result of a pre-stored sample image block of a character string based on a convolutional neural network algorithm, the expression of the probability set being constituted by a plurality of to-be-determined parameters of the convolutional neural network algorithm, and probabilities in the probability set used for indicating a probability that a character at one of a preset quantity of character positions is one of a plurality of preset characters;
• training the plurality of to-be-determined parameters to obtain a training value for each to-be-determined parameter based on a training target of maximizing a probability that the character string recognition result determined according to the probability set is the character string comprised in the pre-stored sample image block;
• obtaining a to-be-recognized target image block;
• calculating, based on the convolutional neural network algorithm and the training values of the plurality of to-be-determined parameters, a target probability set corresponding to the target image block;
• and
• determining, according to the target probability set, a character string recognition result of the target image block.