Just got to know that Google has came up with an handwriting recognition app – Google Handwriting Input.
And the good part is it has got Indian language support. Yay!!
But the bad part is that, it means the demise of my very own Thulika Keyboard. I had created it about 2 years back, and at that time there was no handwriting recognition app for any Indian language. I also had opensourced it, and have got requests from many to translate it to their language(Arabic, Hausa, Tamil to name a few) and some even have used it as part of their school/college projects.
RIP Thulika Keyboard, it was pleasure to have you around(it’s still out there, so you can download it and play with it, but with Google’s new app, mine seems a bit primitive 😦 ).
Google’s new app is awesome though, it recognises full words (mine could only do a letter at a time), and speaking about recognition, its very good at that.
So, here is me(Thulika), the old out dated tech giving way for the new stylish Google app 😉
Today I was scanning through Malayala Manorama and then I saw an article which mentions my Thulika Kayboard.
The article appears in Malayala Manorama of 14th August 2013 (Padippura section). I saw it in Thiruvananthapuram edition and don’t know whether other editions have it.
Here is the article:
I just opensourced the Thulika Keyboard app and the associated training softwares. Find it here on Github
The developer of Encog library, Jeff Heaton, tweeted about my first Android app – Thulika Keyboard
Download the app from PlayStore
On January 6th early morning(at about 3 AM), I created my Google Developer account, and published my first Android app – Thulika Keyboard – in the Play Store.
Thulika Keyboard is a Handwriting recognition keyboard. It is the first app that brings handwriting recognition to an Indian Language(Malayalam for the time being!). User writes a single symbol, the app recognizes it and may give a possible list of suggestions. Writing a keyboard for a language like Malayalam is not quite simple as Malayalam has a complex script compared to Latin languages. Some symbols may have more than one Unicode letters to accompany it. And in some cases more than one symbols make up a single Unicode letter!
Thulika uses machine learning/AI technique called SOM (Self Organising Map) using the library Encog. Encog is a great library and is quite easy to use. I have trained it using the handwriting of my own and some of my friends. I started writing the app in October, took a break for nearly 2 weeks in November end, and the app was completed by mid-December. Then I took it lazily, and waited till January to make some final polishes and then published it 🙂
The entire application consists of Thulika Keyboard (the actual keyboard for end user), ThulikaTrainer (an Android app that helps in gathering user handwritings for a particular language) and ThulikaMaker (a Java application that helps in providing additional details required for the keyboard and also creates the language recognition engine). Anyone can easily help me in adding new languages for the Thulika Keyboard. Read this post to understand how.