A study on the accuracy of ocr engines for source code transcription from programming screencasts

A Malkadi, M Alahmadi, S Haiduc - Proceedings of the 17th International …, 2020 - dl.acm.org
Programming screencasts can be a rich source of documentation for developers. However,
despite the availability of such videos, the information available in them, and especially the …

Recognize Meaningful Words and Idioms from the Images Based on OCR Tesseract Engine and NLTK

P Chakraborty, M Rakib Mia, HK Sumon… - Pattern Recognition and …, 2022 - Springer
OCR means optical character recognition, which is a text extraction technology that works
with photos, scanned data, and PDF documents. By extracting text data, OCR systems …

Exploring Text Recognition Segmentation and Detection in Natural Scene Images

M Ulfa - Journal of Data Science, 2024 - iuojs.intimal.edu.my
Identification, segmentation, and recognition of fonts from real-world images are major
challenges in computer vision, particularly due to subtle differences in font shapes, lighting …

Measurement of Water Consumption based on Image Processing

O Kainz, M Dujava, R Petija… - 2021 IEEE 19th World …, 2021 - ieeexplore.ieee.org
The aim of this paper is the proposal of the solution for automated visual collection of water
consumption data and subsequent processing of extracted data in order to detect non …

Evaluating and Improving Source Code Extraction from Programming Screencasts

A Malkadi - 2023 - repository.lib.fsu.edu
The ability to extract and accurately transcribe source code from tutorial videos and online
courses is crucial for software developers seeking to reuse and adapt code. However …