Research On Image Recognition Based On Neural Network

Image recognition technologies is closely related to social life, and as an important branch, the technology of Neural Network image recognition is a kind of new style image recognition technology, which is developed due to the theory of present computer technology, image processing, artificial intelligence and pattern recognition. With image acquisition equipment to obtain the corresponding images, the digital image and then get the image recognition, it has drawn a variety of information. In this paper, the use of neural networks that have access to the digital image to identify, will be the introduction of BP neural network image recognition in the field, and conventional digital image processing technology, to find a more accurate method to identify the image plane. In this paper, in view of the limitations of traditional methods and image recognition in the vector dimension, but also a different image, such as the status of the complicated situation in the image processing algorithms for image segmentation and study to improve it. At the same time, for BP neural networks that exist in the local minimum value, through the network of BP added to the momentum factor method to improve network efficiency, improved image recognition accuracy, and training network in the course of adaptive changes in learning the rate of methods to reduce the number of Internet training and training time. Finally, through experiments proved the feasibility and optimize the effectiveness and through the design process to achieve better results.