An overview of character recognition focused on off-line handwriting
N Arica, FT Yarman-Vural - IEEE Transactions on Systems …, 2001 - ieeexplore.ieee.org
Character recognition (CR) has been extensively studied in the last half century and has
progressed to a level that is sufficient to produce technology-driven applications. Now …
progressed to a level that is sufficient to produce technology-driven applications. Now …
[PDF][PDF] Off-line handwriting text line segmentation: A review
Z Razak, K Zulkiflee, MYI Idris, EM Tamil… - International journal of …, 2008 - academia.edu
Text line segmentation is an essential pre-processing stage for off-line handwriting
recognition in many Optical Character Recognition (OCR) systems. It is an important step …
recognition in many Optical Character Recognition (OCR) systems. It is an important step …
Text line segmentation of historical documents: a survey
L Likforman-Sulem, A Zahour, B Taconet - International Journal of …, 2007 - Springer
There is a huge amount of historical documents in libraries and in various National Archives
that have not been exploited electronically. Although automatic reading of complete pages …
that have not been exploited electronically. Although automatic reading of complete pages …
[PDF][PDF] Projection–based text line segmentation with a variable threshold
R Ptak, B Żygadło, O Unold - International Journal of Applied …, 2017 - sciendo.com
Document image segmentation into text lines is one of the stages in unconstrained
handwritten document recognition. This paper presents a new algorithm for text line …
handwritten document recognition. This paper presents a new algorithm for text line …
Segmentation and recognition for historical Tibetan document images
L Ma, C Long, L Duan, X Zhang, Y Li, Q Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
As a shining pearl in traditional Tibetan culture, historical Tibetan documents have received
extensive attention from historians, linguists and Buddhist scholars. These documents are …
extensive attention from historians, linguists and Buddhist scholars. These documents are …
20 years of covert channel modeling and analysis
J Millen - Proceedings of the 1999 IEEE Symposium on …, 1999 - ieeexplore.ieee.org
Covert channels emerged in mystery and departed in confusion. Covert channels are a
means of communication between two processes that are not permitted to communicate, but …
means of communication between two processes that are not permitted to communicate, but …
[PDF][PDF] Segmentation methods for hand written character recognition
N Dave - International journal of signal processing, image …, 2015 - researchgate.net
Abstract Hand written Character Recognition is area of research since many years.
Automation of existing manual system is need of most industries as well as government …
Automation of existing manual system is need of most industries as well as government …
A general approach for multi-oriented text line extraction of handwritten documents
N Ouwayed, A Belaïd - International Journal on Document Analysis and …, 2012 - Springer
The multi-orientation occurs frequently in ancient handwritten documents, where the writers
try to update a document by adding some annotations in the margins. Due to the margin …
try to update a document by adding some annotations in the margins. Due to the margin …
Text-based image segmentation methodology
In computer vision, segmentation is the process of partitioning a digital image into multiple
segments (sets of pixels). Image segmentation is thus inevitable. Segmentation used for text …
segments (sets of pixels). Image segmentation is thus inevitable. Segmentation used for text …
A deep learning model for Ottoman OCR
The Ottoman OCR is an open problem because the OCR models for Arabic do not perform
well on Ottoman. The models specifically trained with Ottoman documents have not …
well on Ottoman. The models specifically trained with Ottoman documents have not …