A new binarization method for degraded document images

Novel Adaptive Binarization Method for Degraded Document Images

Computers Materials & Continua ◽

10.32604/cmc.2021.014610 ◽

2021 ◽

Vol 67 (3) ◽

pp. 3815-3832

Author(s):

Siti Norul Huda Sheikh Abdullah ◽

Saad M. Ismail ◽

Mohammad Kamrul Hasan ◽

Palaiahnakote Shivakumara

Keyword(s):

Document Images ◽

Degraded Document ◽

Adaptive binarization method for degraded document images based on surface contrast variation

Pattern Analysis and Applications ◽

10.1007/s10044-015-0520-0 ◽

2015 ◽

Vol 20 (3) ◽

pp. 639-652 ◽

Cited By ~ 5

Author(s):

Bilal Bataineh ◽

Siti Norul Huda Sheikh Abdullah ◽

Khairuddin Omar

Keyword(s):

Document Images ◽

Contrast Variation ◽

Degraded Document ◽

Simple and Efficient Document Image Binarization Technique For Degraded Document Images

International Journal of Scientific Research ◽

10.15373/22778179/may2014/65 ◽

2012 ◽

Vol 3 (5) ◽

pp. 217-220

Author(s):

Manju Joseph ◽

◽

Jijina K.P Jijina K.P

Keyword(s):

Document Image ◽

Document Images ◽

Image Binarization ◽

Document Image Binarization ◽

Binarization of degraded document images based on hierarchical deep supervised network

Pattern Recognition ◽

10.1016/j.patcog.2017.08.025 ◽

2018 ◽

Vol 74 ◽

pp. 568-586 ◽

Cited By ~ 34

Author(s):

Quang Nhat Vo ◽

Soo Hyung Kim ◽

Hyung Jeong Yang ◽

Gueesang Lee

Keyword(s):

Document Images ◽

Segmentation of Text from Degraded Document Images by Local Threshold Method

International Journal of Science and Research (IJSR) ◽

10.21275/v5i4.nov162450 ◽

2016 ◽

Vol 5 (4) ◽

pp. 70-74

Keyword(s):

Document Images ◽

Threshold Method ◽

Local Threshold ◽

Reduction of Noises From Degraded Document Images Using Image Enhancement Techniques

2019 Third International Conference on Inventive Systems and Control (ICISC) ◽

10.1109/icisc44355.2019.9036418 ◽

2019 ◽

Cited By ~ 1

Author(s):

N. Habibunnisha ◽

K. Sivamani ◽

R. Seetharaman ◽

D. Nedumaran

Keyword(s):

Image Enhancement ◽

Document Images ◽

Modified Sauvola binarization for degraded document images

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2020.103672 ◽

2020 ◽

Vol 92 ◽

pp. 103672 ◽

Cited By ~ 1

Author(s):

Amandeep Kaur ◽

Usha Rani ◽

Gurpreet Singh Josan

Keyword(s):

Document Images ◽

Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images

Pattern Recognition ◽

10.1016/j.patcog.2010.07.027 ◽

2011 ◽

Vol 44 (2) ◽

pp. 363-374 ◽

Cited By ~ 12

Author(s):

Reza Farrahi Moghaddam ◽

Mohamed Cheriet

Keyword(s):

Document Images ◽

Local Patch ◽

Non Local ◽

Document indexing framework for retrieval of degraded document images

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333966 ◽

2015 ◽

Cited By ~ 2

Author(s):

Ritu Garg ◽

Ehtesham Hassan ◽

Santanu Chaudhury

Keyword(s):

Document Images ◽

Document Indexing ◽

A binarization method with learning-built rules for document images produced by cameras

Pattern Recognition ◽

10.1016/j.patcog.2009.10.016 ◽

2010 ◽

Vol 43 (4) ◽

pp. 1518-1530 ◽

Cited By ~ 63

Author(s):

Chien-Hsing Chou ◽

Wen-Hsiung Lin ◽

Fu Chang

Keyword(s):

Document Images ◽