  In many Vietnamese schools, grades are still being inputted into the database
manually, which is not only inefficient but also prone to human error. Thus,
the automation of this process is highly necessary, which can only be achieved
if we can extract information from academic transcripts. In this paper, we test
our improved CRNN model in extracting information from 126 transcripts, with
1008 vertical lines, 3859 horizontal lines, and 2139 handwritten test scores.
Then, this model is compared to the Baseline model. The results show that our
model significantly outperforms the Baseline model with an accuracy of 99.6% in
recognizing vertical lines, 100% in recognizing horizontal lines, and 96.11% in
recognizing handwritten test scores.
