SOLVING DISTORTED CAPTCHA-TEXT BY USING CONVOLUTIONAL NEURAL NETWORK
At the early stage of the development, CAPTCHA-text used distorted which difficult to solve by OCR technology. The development of AI technology, machine learning and image processing year after year makes the task to distinguish between human interactions and "bot" becomes more challenging...
Saved in:
Main Author: | Akbar Yasin - NIM: 23216322 , Muhammad |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/29112 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Identifying cognitive distortion by convolutional neural network based text classification
by: Xing, Zhenchang, et al.
Published: (2018) -
Secure text based CAPTCHA system adversarial examples
by: Kant Mannan
Published: (2021) -
Graph convolutional neural networks for text categorization
by: Lakhotia, Suyash
Published: (2018) -
Blind first-order perspective distortion correction using parallel convolutional neural networks
by: Del Gallego, Neil Patrick, et al.
Published: (2020) -
Intent Detection on Indonesian Text Using Convolutional Neural Network
by: Bilah, Chiva Olivia, et al.
Published: (2022)