The invention provides an equipment nameplate recognition algorithm for an electric power major, and the algorithm comprises the steps: building a model framework through a plurality of neural networks, carrying out the text detection of nameplate image data through Faster-RCNN and BiLSTM, and carrying out the text recognition of the nameplate image data through DenseNet and CTC. After data training of an equipment nameplate image in electric power field operation, an identification algorithm model is obtained. The recognition algorithm is high in recognition rate of horizontal text information, and interference of special symbols can be eliminated. The recognition algorithm can be used for text detection and recognition of black-background white characters, white-background black characters, white-background red characters and yellow-background black characters, and the best effect is achieved when the fonts are black type, song type and gentle, Microsoft elegant black type.
Equipment nameplate recognition algorithm for electric power major