一則手寫漢字識別應用介紹

項目

https://github.com/fanqingsong/cnn_handwritten_chinese_recognition

    使用python+flask搭建的一個網站，而後從網頁的寫字板上獲取鼠標手寫的漢字通過轉碼後傳回後臺，並通過圖片裁剪處理以後傳入CNN手寫中文識別的模型中進行識別，最後經過PIL將識別結果生成圖片，最後異步回傳給web端進行識別結果展現。中文總共50,000多漢字，經常使用的有3,755個。這裏主要對常見的3755個漢字進行識別。

 

使用技術

前臺：

一、 drawingboard.js 在canvas上手寫漢字

      並能夠獲取canvas手寫漢字的圖片編碼 base64

二、 手寫過程監控事件，實時收集canvas圖片數據，經過ajax發日後臺進行識別。

 

後臺：

一、 flask -- web服務器框架

二、 tensorflow --- 加載漢字識別模型， 並根據輸入的圖片數據給出預測結果， 取最可能的前三個發往前臺。

 

drawingboard

http://leimi.github.io/drawingboard.js/

This is a canvas based drawing app that you can integrate easily on your website.

drawingboard.js consists of a blank canvas surrounded by a few UI elements that control it: a color picker, a pencil, a paint can, an eraser, a pencil size chooser, navigations and reset buttons.

You can draw with mouse or touch on pretty much every browser that supports <canvas>. Didn't test that much on IE but hey, WIP.

local and session storage are supported: your last drawing is restored when you come back on the website.

You can set a background image at initialization, or let the user drop one on the canvas.

The drawingboard is really lightweight, but also really simple: if you want something more complete, go look at similar projects at the bottom of this doc.