Рақамли технологияларнинг назарий ва амалий масалалари 1-jild 1-son (2022) · 48-52-betlar
Using a Hybrid Model for Image Recognition of Handwritten Text
Iskandarova, S.N.
Annotatsiya
In the recognition of Uzbek handwritten letters, an important issue is segmentation and its recognition. The curvature of the handwriting, cursive and word-to-word problems, incorrect placement of diacritics, and the presence of ups and downs lead to the processing of the segmentation problem. In the manuscripts, the performance of linear and word segmentation is shown based on results obtained from software based on the CNN+LSTM+CTC neural network model.
segmentationneural networkfilteringtopologyhandwritingpythonsegmentatsiyaneyron tarmoqfiltratsiyatopologiya
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.