We are happy to invite you to Recognition in the Wild Morning@Lohika, our next event. We are going to meet our friend - Oles Dobosevych (Deputy Dean, Faculty of Applied Science @ Ukrainian Catholic University) & Kostiantyn Liepieshov (Research Intern, Machine Learning Lab @ Ukrainian Catholic University, co-founder of Footty and 3rd-year student at Faculty of Applied Sciences @ Ukrainian Catholic University) from Lviv.
As usual, the event will take place at Lohika Lviv office. The registration starts at 9:30, the event at 10:00.
On recognition of Cyrillic Text in the Wild
We'll tell about the process of developing of the FCN-UA - the first published network for scene-text recognition of Cyrillic text trained in multilanguage setup. The model solves the problem of recognition multiple languages in one setup.
The goal of the text recognition is to map the input image to a sequence of characters. There are many different existing approaches to this task. One of them was to create single character recognizers and then do the post-processing after finding all letters in the image. It was time-consuming and needed sophisticated approaches for letter merging. The others were based on the multiword classification mapping the input image to the big dictionary (90k dictionary of English words). To approach this problem we use trained a fully convolutional neural network that maps preprocessed image of the word to the sequence of characters finding out the language of the text simultaneously.