Text Localization and Recognition of Chinese Characters in Natural Scenes Based on Improved Faster Region-Based Convolutional Neural Network
To solve the problems faced by Chinese character recognition, such as complex shapes and diverse structures, this paper adopts the Visual Geometry Group 16 (VGG-16) model for feature extraction and introduces a two-layer bidirectional Long Short-Term Memory (LSTM) network. It improves the Faster Region-based Convolutio...