[PDF][PDF] Determination of osteoarthritis using histogram of oriented gradients and multiclass SVM
SS Gornale, PU Patravali, KS Marathe… - International Journal of …, 2017 - researchgate.net
Knee Osteoarthritis is most ordinary kind of joint inflammation, which often occurs in one or
both the knee joints. Osteoarthritis is additionally called as' wear and tear'process of joint …
both the knee joints. Osteoarthritis is additionally called as' wear and tear'process of joint …
[PDF][PDF] Analysis of multi-modal biometrics system for gender classification using face, iris and fingerprint images
A certain number of researchers have utilized uni-modal bio-metric traits for gender
classification. It has many limitations which can be mitigated with inclusion of multiple …
classification. It has many limitations which can be mitigated with inclusion of multiple …
Text Localization and Script Identification in Natural Scene Images and Videos
C Udupa, A Upadhyaya, BS Patil… - … & Intelligence (CSI), 2022 - ieeexplore.ieee.org
Text detection and its script identification in a natural scene image/video has attracted the
attention of many researchers over the recent years due to its application in the de-sign of …
attention of many researchers over the recent years due to its application in the de-sign of …
Journey of scene text components recognition: Progress and open issues
P Sengupta, AF Mollah - Multimedia Tools and Applications, 2021 - Springer
In computer vision, scene text component recognition is an important problem in end-to-end
scene text reading systems. It involves two major sub-problems-segmentation of such …
scene text reading systems. It involves two major sub-problems-segmentation of such …
[PDF][PDF] LOCALISATION OF TEXT IN A NATURAL SCENE IMAGE BASED ON DEVANAGARI SCRIPT RULE USING DEEP LEARNING
Text localization play a crucial role in scene images to read the text content effectively. There
have been built many deep learning (DL) rooted models for classification as well as …
have been built many deep learning (DL) rooted models for classification as well as …
Review of signboard transliteration using deep learning
J Sachdeva, M Gupta, S Gupta, D Aggarwal… - … , Data Science and …, 2021 - Springer
Extracting text from the signboard, recognizing them, and thereafter translating them are a
challenging task to be done and are receiving a significant amount of attention in today's …
challenging task to be done and are receiving a significant amount of attention in today's …
[PDF][PDF] A robust algorithm for emoji detection in smartphone screenshot images
BMA Bataineh, MK Shambour - Journal of ICT …, 2019 - pdfs.semanticscholar.org
The increasing use of smartphones and social media apps for communication results in a
massive number of screenshot images. These images enrich the written language through …
massive number of screenshot images. These images enrich the written language through …
Text detection and character extraction in natural scene images using fractional Poisson model
V Rajan, S Raj - 2017 International Conference on Computing …, 2017 - ieeexplore.ieee.org
Extracting text character from natural scene images is a complex task due to differences in
text style, font, size, orientation, alignment and background variation. Texts in images …
text style, font, size, orientation, alignment and background variation. Texts in images …
Oriental-script text detection and extraction in videos
U Shahzad, K Khurshid - 2017 1st International Workshop on …, 2017 - ieeexplore.ieee.org
Urdu text detection and extraction from videos especially from news feed is a challenging
task. The main challenge is to design a robust algorithm that can accurately detect and …
task. The main challenge is to design a robust algorithm that can accurately detect and …
Scene text component segmentation using hierarchical distance slicing
P Sengupta, A Faruk Mollah - International Journal of …, 2019 - papers.ssrn.com
Segmentation of scene text components to recognize the text contained therein is an active
area in scene image analysis. In this paper, a new character segmentation method has been …
area in scene image analysis. In this paper, a new character segmentation method has been …