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[HTML][HTML] Digitization of handwritten Devanagari text using CNN transfer learning–A better customer service support
Devanagari script is one of the bases of various language scripts in India. With the growth of
computing and technology, manual systems are replaced by automated one. The purpose of …
computing and technology, manual systems are replaced by automated one. The purpose of …
[HTML][HTML] Handwritten devanagari manuscript characters recognition using capsnet
Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …
of information for locating material from the Middle Ages. Ancient manuscripts can be found …
[HTML][HTML] Deep learning for ancient scripts recognition: A CapsNet-LSTM based approach
Efficient character recognition in ancient handwritten Devanagari documents is crucial for
societal advancements. Challenges such as overlap** characters, missing headlines, and …
societal advancements. Challenges such as overlap** characters, missing headlines, and …
A review of various line segmentation techniques used in handwritten character recognition
Segmentation is a very critical stage in the character recognition process as the performance
of any character recognition system depends heavily on the accuracy of segmentation …
of any character recognition system depends heavily on the accuracy of segmentation …
Cnn-lstm based approach for recognition of devanagari manuscripts
Devanagari scripts are a good source of information as it consists medieval and prestigious
content which is very useful for the upcoming generations. Digitization of these scripts …
content which is very useful for the upcoming generations. Digitization of these scripts …
Line and word segmentation of handwritten text documents written in Gurmukhi script using mid point detection technique
P **dal, B **dal - … on Recent Advances in Engineering & …, 2015 - ieeexplore.ieee.org
In this paper, a new method is proposed for line and word segmentation analysis of
handwritten script. The main aim of this paper is Line and Word Segmentation of text …
handwritten script. The main aim of this paper is Line and Word Segmentation of text …
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 …
[PDF][PDF] Text-line extraction from handwritten document images using histogram and connected component analysis
Text-line segmentation is an essential part of script identification technique from handwritten
and printed document images. In case of handwritten documents, overlap**, touching …
and printed document images. In case of handwritten documents, overlap**, touching …
Segmenting Characters from Malayalam Handwritten Documents
CP Hashrin, A Jossy, K Sudhakaran… - … on Innovations in …, 2019 - ieeexplore.ieee.org
Construction of an Optical Character Recognition (OCR) model for handwritten documents
poses many challenges, the most prominent of them being dataset collection, character …
poses many challenges, the most prominent of them being dataset collection, character …
Segmentation of Hanacaraka characters using double projection profile and Hough transform
In doing segmentation of Hanacaraka character, Javanese ancient character, one of
Indonesian's ethnic ancient character in Java island, the difficulties that occur is the …
Indonesian's ethnic ancient character in Java island, the difficulties that occur is the …