Spine text recognition method and device based on deep learning and storage medium
A text recognition and deep learning technology, applied in the field of neural network text recognition, can solve the problems of inconsistent fonts, spine leakage recognition, blurring, etc., to achieve high-precision recognition, ensure accuracy, and achieve the effect of automation
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[0026] This implementation further discloses a spine text recognition method based on deep learning, which specifically includes the following steps:
[0027] Step (1), making a synthetic spine training set, a single-word multi-font training set;
[0028] The process includes collection of bibliography, publishing house, author text information, data cleaning, synthesis of spine text images in various font forms and backgrounds; collecting 2536 commonly used characters in Chinese and English numbers, and making a variety of texts including artistic fonts, street view fonts, etc. Font word image dataset.
[0029] Step (2), collect real spine pictures in the library, use the CTPN model to carry out text detection and cutting, labeling to obtain the real spine data set for a single spine;
[0030] Step (3), build the network model of ResNet10+BiLSTM+CTC;
[0031] The role of ResNet10 in this model is mainly to extract the spine features. In this paper, the improved ResNet netw...
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