<p>I know how to train a NN for recognizing handwritten digits (e.g. using the MNIST database).</p>

<p>I'm wondering how to accomplish the same "online", which is <strong>during the process of writing</strong> e.g. I'm writing down a digit, and during the process and while keeping "the pen down", the NN recognizes the digit.
To make it simpler, I could assume one stroke-order only for each digit (e.g. each digit is written with a certain order of strokes, like for digit 1 is just a vertical line going up to down).</p>

<p>Which is the most suitable NN for the purpose and how to accomplish this?</p>

CC BY-SA 4.0
2019-09-15T11:57:16.473Z
Have you tried to use a neural network trained on MNIST to achieve that? You can pass the partial input the this NN and observe the output of it and how it evolves.
nbro
CC BY-SA 4.0
2019-09-15T15:41:23.880Z
@nbro I haven't tried. However it would surely be sub-optimal, as a static partial input lacks "temporal" information (e.g. direction of stroke).
kuma
CC BY-SA 4.0
2019-09-15T15:51:25.247Z
This is a good point!
nbro
<neural-networks><handwritten-characters>
Handwritten digits recognition during the process of writing
kuma
# Handwritten digits recognition during the process of writing

(Asked by: username_0 on 2019-09-14)

I know how to train a NN for recognizing handwritten digits (e.g. using the MNIST database).

I'm wondering how to accomplish the same "online", which is **during the process of writing** e.g. I'm writing down a digit, and during the process and while keeping "the pen down", the NN recognizes the digit.
To make it simpler, I could assume one stroke-order only for each digit (e.g. each digit is written with a certain order of strokes, like for digit 1 is just a vertical line going up to down).

Which is the most suitable NN for the purpose and how to accomplish this?

**Tags:** neural-networks, handwritten-characters

> **Comments:**
> **username_1**: Have you tried to use a neural network trained on MNIST to achieve that? You can pass the partial input the this NN and observe the output of it and how it evolves.  
> **username_0**: @username_1 I haven't tried. However it would surely be sub-optimal, as a static partial input lacks "temporal" information (e.g. direction of stroke).  
> **username_1**: This is a good point!  

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## 0 answers

