A Simple Method for Online Recognition of Farsi Subwords

In this paper, a method for online recognition of Farsi subwords is presented. First, the dots and other signs of the input subword and their relative locations are recognized and the related group to that subword is chosen. If there is only one member in that group, its class is assigned to the input subword, otherwise, the subword body is compared to those of the group members and the subword with minimum distance to the input subword is found. The recognition system also proposes a maximum of nine subwords in the next ranks. The proposed method was tested on a database of 11 samples of 1000 subwords from different writers. The correct recognition rate for the first choice was 74.95%. It reached to 97.87% for the top 10 choices.