Рақамли технологияларнинг назарий ва амалий масалалари Том 1 № 1 (2022) · с. 48-52

Using a Hybrid Model for Image Recognition of Handwritten Text

Iskandarova, S.N.

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Аннотация

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

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APA 7 
Iskandarova, S.N. (2022). Using a Hybrid Model for Image Recognition of Handwritten Text. Рақамли технологияларнинг назарий ва амалий масалалари, 1(1), 48-52.
GOST R 7.0.5 
Iskandarova, S.N. Using a Hybrid Model for Image Recognition of Handwritten Text // Рақамли технологияларнинг назарий ва амалий масалалари. 2022. Т. 1. № 1. С. 48-52.
BibTeX 
@article{s.n.2022,
  author  = {Iskandarova, S.N.},
  title   = {Using a Hybrid Model for Image Recognition of Handwritten Text},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year    = {2022},
  volume  = {1},
  number  = {1},
  pages   = {48-52}
}
RIS 
TY  - JOUR
AU  - Iskandarova, S.N.
TI  - Using a Hybrid Model for Image Recognition of Handwritten Text
JO  - Рақамли технологияларнинг назарий ва амалий масалалари
PY  - 2022
VL  - 1
IS  - 1
SP  - 48
EP  - 52
ER  -