  The handwritten string recognition is still a challengeable task, though the
powerful deep learning tools were introduced. In this paper, based on TAO-FCN,
we proposed an end-to-end system for handwritten string recognition. Compared
with the conventional methods, there is no preprocess nor manually designed
rules employed. With enough labelled data, it is easy to apply the proposed
method to different applications. Although the performance of the proposed
method may not be comparable with the state-of-the-art approaches, it's
usability and robustness are more meaningful for practical applications.

Computer Vision and Pattern Recognition;Machine Learning