Ancient text recognition: a review
Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
Word and character segmentation in ancient handwritten documents in Devanagari and Maithili scripts using horizontal zoning
The word and character segmentation in ancient handwritten Devanagari (Indian) and
Maithili (Indian) documents in order to develop any optical character recognition (OCR) …
Maithili (Indian) documents in order to develop any optical character recognition (OCR) …
A survey on camera-captured scene text detection and extraction: towards Gurmukhi script
Owing to technological advancements and new inventions, the world is transforming into a
digital world where cameras have replaced the scanners for converting the hard copy …
digital world where cameras have replaced the scanners for converting the hard copy …
A new watershed model based system for character segmentation in degraded text lines
AS Kavitha, P Shivakumara, GH Kumar, T Lu - AEU-International Journal of …, 2017 - Elsevier
Character segmentation from text lines in degraded historical document images is
challenging due to complex background and non-availability of regular structures of text …
challenging due to complex background and non-availability of regular structures of text …
RETRACTED ARTICLE: An efficient recognition system for preserving ancient historical documents of English characters
V Sathya Narayanan, N Kasthuri - Journal of Ambient Intelligence and …, 2021 - Springer
The clusters of historical documents are of great importance in terms of cultural and
scientific. In order to access the documents, originality should be maintained. So conversion …
scientific. In order to access the documents, originality should be maintained. So conversion …
Texture feature-based text region segmentation in social multimedia data
SH Kim, KJ An, SW Jang, GY Kim - Multimedia Tools and Applications, 2016 - Springer
This paper proposes a method of effectively segmenting text areas that exist in images by
using the texture features of various types of input images obtained in social multimedia …
using the texture features of various types of input images obtained in social multimedia …
A novel segmentation and skew correction approach for handwritten Malayalam documents
SAB Haji, A James, S Chandran - Procedia Technology, 2016 - Elsevier
Segmentation of handwritten document images is a complex task due to the variability in the
writing styles. The segmentation technique has to deal with non-uniformly skewed …
writing styles. The segmentation technique has to deal with non-uniformly skewed …
Notice of Removal: Handwritten character recognition using machine learning approach-A survey
SR Patel, J Jha - 2015 International Conference on Electrical …, 2015 - ieeexplore.ieee.org
Notice of Removal: Handwritten character recognition using machine learning approach - A
survey | IEEE Conference Publication | IEEE Xplore Notice of Removal: Handwritten …
survey | IEEE Conference Publication | IEEE Xplore Notice of Removal: Handwritten …
Kannada Word Detection in Heterogeneous Scene Images
N Shikha, R Pranav, NR Singh… - 2023 10th …, 2023 - ieeexplore.ieee.org
Text extraction from scene images has started gaining a lot of traction in recent years in the
computer vision field as its applications is manifold. One of its sub-categories is scene text …
computer vision field as its applications is manifold. One of its sub-categories is scene text …
Recent trends in OCR systems: A review
Optical character recognition (OCR) is one of the most emergent applications of pattern
recognition. It is a fully grown, advancing, energizing, and helpful field and is going about as …
recognition. It is a fully grown, advancing, energizing, and helpful field and is going about as …