<p>If segmentation is difficult, then simply avoid it. Handwriting recognition faces the same problem: how would you segment this image (source: IAM dataset) into characters?</p>

<p><a href="https://i.stack.imgur.com/BvaaB.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/BvaaB.png" alt="enter image description here"></a></p>

<p>End-to-end trainable neural networks (NN) are able to recognize text in such images.
These NNs are trained with pairs of images and ground-truth texts. You don't have to do any segmentation and you also don't have to specify the character positions.</p>

<p>Here is an illustration how such a neural network for text recognition may look (implementation see <a href="https://github.com/githubharald/SimpleHTR" rel="nofollow noreferrer">https://github.com/githubharald/SimpleHTR</a>).
<a href="https://i.stack.imgur.com/5Mre9.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/5Mre9.png" alt="enter image description here"></a></p>

<p>It contains CNN layers, RNN layers and a final CTC layer. This CTC layer is the ingredient which enables training in a segmentation-free manner.</p>

<p>I don't want to repeat myself too much, have a look at this article to get an understanding of how such a NN looks like and how it works: <a href="https://towardsdatascience.com/2326a3487cd5" rel="nofollow noreferrer">https://towardsdatascience.com/2326a3487cd5</a></p>

<p>And read this paper for a more in-depth discussion and for further references: <a href="https://arxiv.org/pdf/1507.05717.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1507.05717.pdf</a></p>
How to split number in image(OCR)?
<p>I want to recognize the numbers in image,the numbers are not placed in a line and have some "noise" ,such as the below images (just a part of my data):
I have searched some project  and  papers ,but did not find a good way to solve the problem,Who can give me some tips that how can I solve the problem or what paper is useful for me?
Thanks!!! </p>

<p><a href="https://i.stack.imgur.com/NJHrt.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/NJHrt.png" alt="enter image description here"></a>
<a href="https://i.stack.imgur.com/j6b80.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/j6b80.png" alt="enter image description here"></a></p>