DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL
A model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretati...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2016-09-01
|
| Series: | Informatika |
| Online Access: | https://inf.grid.by/jour/article/view/15 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849243303084556288 |
|---|---|
| author | N. N. Kuzmitsky |
| author_facet | N. N. Kuzmitsky |
| author_sort | N. N. Kuzmitsky |
| collection | DOAJ |
| description | A model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretation is described, allowing to find out text samples on images of real scenes. Advantages in comparison with analogs are shown and efficiency evaluation on an example of a known database is conducted. |
| format | Article |
| id | doaj-art-38fffacfe92b4b4a9735a6baae70fa77 |
| institution | Kabale University |
| issn | 1816-0301 |
| language | Russian |
| publishDate | 2016-09-01 |
| publisher | National Academy of Sciences of Belarus, the United Institute of Informatics Problems |
| record_format | Article |
| series | Informatika |
| spelling | doaj-art-38fffacfe92b4b4a9735a6baae70fa772025-08-20T03:59:31ZrusNational Academy of Sciences of Belarus, the United Institute of Informatics ProblemsInformatika1816-03012016-09-0102122114DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODELN. N. Kuzmitsky0Брестский государственный технический университетA model of text image detector based on a convolutional neural network architecture is presented, capable of synthesizing high-level features of images in the «black box» mode. An implementation of the detector application, based on algorithms of multi-scale scanning and local responses interpretation is described, allowing to find out text samples on images of real scenes. Advantages in comparison with analogs are shown and efficiency evaluation on an example of a known database is conducted.https://inf.grid.by/jour/article/view/15 |
| spellingShingle | N. N. Kuzmitsky DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL Informatika |
| title | DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL |
| title_full | DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL |
| title_fullStr | DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL |
| title_full_unstemmed | DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL |
| title_short | DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL |
| title_sort | detection of text objects in images of real scenes based on convolutional neural network model |
| url | https://inf.grid.by/jour/article/view/15 |
| work_keys_str_mv | AT nnkuzmitsky detectionoftextobjectsinimagesofrealscenesbasedonconvolutionalneuralnetworkmodel |