Recognition method and device

Patent

Recognition method and device

- 11 Oct 2019

1

TL;DR: In this article, a recognition method and device which is used for solving the technical problem of poor recognition effect of an electronic device on a scene text recognition method is presented. And the method comprises the steps of obtaining a to-be-recognized text image, wherein the text image comprises at least one character, performing image feature extraction on the to be-identified text image through a deep residual network model, and inputting the feature matrix into a bidirectional long short short-term memory network BLSTM model and processing the result being used for indicating characters contained in the

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Citations

Patent

Text recognition method for natural scene, storage apparatus, and computer device

Zhou Yimin, +2 more

- 27 May 2021

TL;DR: In this paper, a text recognition method for a natural scene, a storage apparatus, and a computer device is presented, by using a deep convolutional network, feature extraction on an image to be recognized to obtain multiple feature vectors.

...read moreread less

References

•Posted Content

Deep Residual Learning for Image Recognition

Kaiming He, +3 more

- 10 Dec 2015

- arXiv: Computer Vision and Pattern Recog...

TL;DR: This work presents a residual learning framework to ease the training of networks that are substantially deeper than those used previously, and provides comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.

...read moreread less

117.9K

•Journal Article•10.1109/TPAMI.2016.2646371

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Baoguang Shi, +2 more

- 01 Nov 2017

- IEEE Transactions on Pattern Analysis an...

TL;DR: Zhang et al. as mentioned in this paper proposed a novel neural network architecture, which integrates feature extraction, sequence modeling and transcription into a unified framework, and achieved remarkable performances in both lexicon free and lexicon-based scene text recognition tasks.

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3.2K

•Proceedings Article•10.1109/ICCV.2017.543

Focusing Attention: Towards Accurate Text Recognition in Natural Images

Zhanzhan Cheng, +5 more

- 01 Oct 2017

TL;DR: Zhang et al. as mentioned in this paper proposed Focusing Attention Network (FAN) which employs a focusing attention mechanism to automatically draw back the drifted attention. But the FAN method is not suitable for complex and low-quality images and it cannot get accurate alignment between feature areas and targets for such images.

...read moreread less

377

Patent

Voice identification method using long-short term memory model recurrent neural network

Xia Chunqiu

- 11 Jan 2017

TL;DR: In this article, a voice identification method using a long short term memory model recurrent neural network (LSTM) was proposed. But the model was not designed for speech recognition.

...read moreread less

43

Patent

Image understanding method based on depth residual error network and LSTM

Hu Dan, +3 more

- 10 May 2017

TL;DR: Zhang et al. as discussed by the authors proposed an image understanding method based on a depth residual error network and an LSTM; the method comprises the following steps: firstly building a DRLN model so as to extract image abstract features, and storing the features as a feature matrix; using a dynamic attention mechanism in a lstM model to dynamically form a proper feature vector according to the feature matrix.

...read moreread less

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