Open AccessResearch on Deep Learning Techniques in Breaking Text-Based Captchas and Designing Image-Based Captcha
Author(s) -
A Janarthanan,
C Pandiyarajan,
M Sabarinathan,
M.B. Sudhan,
R. Kala
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-900
Subject(s) - computer science , artificial intelligence , zoom , captcha , pixel , pattern recognition (psychology) , image segmentation , classifier (uml) , segmentation , image processing , computer vision , feature (linguistics) , process (computing) , image (mathematics) , linguistics , philosophy , petroleum engineering , engineering , lens (geology) , operating system
Optical character recognition (OCR) is a process of text recognition in images (one word). The input images are taken from the dataset. The collected text images are implemented to pre-processing. In pre-processing, we can implement the image resize process. Image resizing is necessary when you need to increase or decrease the total number of pixels, whereas remapping can occur when you are zooming refers to increase the quantity of pixels, so that when you zoom an image, you will see clear content. After that, we can implement the segmentation process. In segmentation, we can segment the each characters in one word. We can extract the features values from the image that means test feature. In classification process, we have to classify the text from the image. Image classification is performed the images in order to identify which image contains text. A classifier is used to identify the image containing text. The experimental results shows that the accuracy.