I'm working on machine learning project that requires I collect hand-writing data of alphabets from an uncommon language (I'm 100% there is no available data out there). My question is how should I collect this data?
The approach I'm currently thinking of taking is asking about 20 people to write the letters (about 10 times for each letter) on a piece of paper and scanning that sheet, to have it in digital form. But what should I do next? Should I just vectorize the RGB value of each pixel? Should I use an entirely different methodology instead?
What are the textbook approaches and best practices?