Abstract: A LRAM model was proposed based on LSTM with ResNet (residual network) and attention model for reading text in natural image.In this model,a ResNet was adopted to accelerate the convergence speed of the network and to reduce the difficulty of network training,and an attention mechanism (AM) was utilized to carry out weigh distribution of different sequences for current text recognition and to improve the accuracy of text recognition.Extensive experiments on various benchmarks,including the Synth90K,Street View Text and ICDAR datasets,show that the performance of LRAM model substantially outperforms the existing methods.