Improvement of image binarization methods using image preprocessing with local entropy filtering for alphanumerical character recognition purposes
H Michalak, K Okarma - entropy, 2019 - mdpi.com
Automatic text recognition from the natural images acquired in uncontrolled lighting
conditions is a challenging task due to the presence of shadows hindering the shape …
conditions is a challenging task due to the presence of shadows hindering the shape …
[PDF][PDF] Fast Binarization of Unevenly Illuminated Document Images Based on Background Estimation for Optical Character Recognition Purposes.
H Michalak, K Okarma - J. Univers. Comput. Sci., 2019 - researchgate.net
One of the key operations during the image preprocessing step in Optical Character
Recognition (OCR) algorithms is image binarization. Although for uniformly illuminated …
Recognition (OCR) algorithms is image binarization. Although for uniformly illuminated …
Region based adaptive binarization for optical character recognition purposes
H Michalak, K Okarma - 2018 International Interdisciplinary PhD …, 2018 - ieeexplore.ieee.org
Optical Character Recognition (OCR) applications usually require the use of uniformly
illuminated images which can be obtained using the flatbed scanners. However, rapid …
illuminated images which can be obtained using the flatbed scanners. However, rapid …
Fast adaptive image binarization using the region based approach
H Michalak, K Okarma - Artificial Intelligence and Algorithms in Intelligent …, 2019 - Springer
Adaptive binarization of unevenly lightened images is one of the key issues in document
image analysis and further text recognition. As the global thresholding leads to improper …
image analysis and further text recognition. As the global thresholding leads to improper …
Binarization of degraded document images with generalized Gaussian distribution
One of the most crucial steps of preprocessing of document images subjected to further text
recognition is their binarization, which influences significantly obtained OCR results. Since …
recognition is their binarization, which influences significantly obtained OCR results. Since …
[PDF][PDF] Binarization of document images using the modified local-global Otsu and Kapur algorithms
In the paper an algorithm for binarization of grayscale images representing text documents
together with its optimization is presented. In the proposed approach two classical global …
together with its optimization is presented. In the proposed approach two classical global …
Research of the Defects in PET Preform
A Laucka, D Andriukaitis… - 2016 21st International …, 2016 - ieeexplore.ieee.org
Image technologies nowadays are used not only for kee** personal events safe, but also
are widely applied in conjunction with automated electronic systems. Computer vision is …
are widely applied in conjunction with automated electronic systems. Computer vision is …
Fast histogram based image binarization using the Monte Carlo threshold estimation
In the paper the idea of universal fast image binarization method is discussed which utilizes
the histogram estimation using the Monte Carlo approach. Proposed reduction of the …
the histogram estimation using the Monte Carlo approach. Proposed reduction of the …
Fast statistical image binarization of colour images for the recognition of the QR codes
The article concerns the fast image binarization based on the application of the statistical
Monte Carlo method applied for the recognition of the QR codes from colour images …
Monte Carlo method applied for the recognition of the QR codes from colour images …
Improved two-step binarization of degraded document images based on Gaussian mixture model
Image binarization is one of the most relevant preprocessing operations influencing the
results of further image analysis conducted for many purposes. During this step a significant …
results of further image analysis conducted for many purposes. During this step a significant …