12 results about "Text recognition" patented technology

The invention discloses a text recognition method and device, electronic equipment and a medium. According to the invention, the method comprises the steps of: performing entity feature recognition onthe target text by using a pre-trained deep learning model to obtain a candidate name entity list, and matching the candidate name entity list with multiple pieces of name information in the enterprise name library one by one to obtain at least one matching result, thereby taking the candidate name entity, higher than the hit matching rate, in the at least one matching result as a name entity obtained by identifying the target text. By applying the technical scheme, name entities possibly existing in the text can be extracted by adopting the deep learning model, a part of entities with identification errors are filtered out by utilizing the filtering word list to serve as candidate company entities, and the candidate companies correspond to the specific enterprise name libraries by meansof the enterprise name libraries and the enterprise entity mapping tables. Therefore, the problem that the efficiency of extracting the effective name entity from the text is very low in the prior artis avoided.

The invention relates to the technical field of text recognition, in particular to a knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification and a storage device. The knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification comprises the steps: extracting potential hyponymy relation pairs from external data based on pattern expansion, and forming a hyponymy relation model training seed corpus in combination with a preset resource library; obtaining a to-be-predicted hyponymy data set, and predictingthe to-be-predicted data set based on the BERT-Attention-Bi-LSTM model to obtain a hyponymy prediction result; and further processing the hyponymy relationship prediction result through a preset ruleto obtain a final hyponymy relationship prediction result. The method greatly reduces the complexity and labor investment of rule compilation, has stronger realizability compared with another mainstream statistics-based hyponymy concept identification method, and can provide technical support for the construction of various professional knowledge maps.

The invention discloses a tire DOT information identification method based on end-to-end deep learning, and the method comprises the following steps: carrying out the feature extraction of a tire image, obtaining first feature maps outputted in N stages, and carrying out the feature fusion of the first feature maps outputted in N stages, and obtaining a second feature map; performing DOT information rough positioning on the fused second feature map to detect whether three characters of DOT and position information thereof exist or not, and obtaining an area map; generating a mask image from the region image, multiplying the mask image by the second feature image, performing DOT information fine positioning on a third feature image obtained by multiplying to obtain DOT information text probability and position information, and positioning to candidate text blocks with angles; performing tire bending direction detection on the first feature map output in the last stage to obtain character direction information of the tire tread; performing affine transformation on the candidate text blocks and the character direction information of the tire tread, and converting the candidate text blocks and the character direction information into horizontal text blocks in the upward direction; and inputting the horizontal text blocks into a text recognition network based on deep learning to carry out DOT character recognition to obtain final recognition information.

The invention discloses a device capable of automatically answering a call, converting call voice into characters and displaying the characters on a large screen, so that old people can read the characters instead of answering the call. The device is mainly composed of three parts: 1) a smart phone and a mobile phone application, which are mainly used for automatically answering a call and recording, and sending a recording file to a voice recognition application deployed on a cloud server after a call is finished; 2) a voice recognition application on the cloud server, which is mainly used for receiving a recording file sent by the mobile phone application, then calling an internet voice recognition cloud service interface to realize voice-to-text conversion, and storing the recording file and a text recognition result in a database for later use; and 3) a display screen which is mainly used for amplifying and displaying the voice recognition result. The device solves the problem thatthe old people answer calls, and provides an effective communication mode for part of disabled people.