Kanji handwriting recognition for iOS using Zinnia.
Overview
Zinnia is a great handwriting recognition library based on SVM. Our Japanese dictionary app uses a customized version of Zinnia, called ZinnaCocoaTouch, for the Kanji input engine.
This sample demonstrates how to use ZinnaCocoaTouch (which already provided the model and interface implementation in Objective-C) in an iOS project. It is written in Swift 4 with XCode 10.1.
Integrate Zinnia to your existing project
The process is a bit long but fairly simple. Look here for detailed instructions.
How to use the library
See DrawableView.swift for a simple implementation of the drawing canvas and HandritingViewModel.swift on how to use the library.
Basically, we create an instance of Recognizer and for each newly drawn stroke, feed that to Recognizer.classify() method which accepts an [NSValue] as the argument.
The method returns a Result that represent the classified values ordered by confidence. Then we can apply result!.map { $0.value } to get an array of String, each of which represents a kanji.
Note
When you use a third-party library which is also happen to define a Result class (Alamofire for example), XCode may fail to resolve.
If that happens, look into Result.h, Result.m and change the interface name to something else, like ZinniaResult to avoid the conflict.