Feature extraction and classification techniques for handwritten Devanagari text recognition: a survey
The character recognition system is a vital area in the field of pattern recognition. One
interesting, complex, and challenging task is handwritten character recognition because of …
interesting, complex, and challenging task is handwritten character recognition because of …
Recognition of offline handwriten Devanagari numerals using regional weighted run length features
Recognition of handwritten Roman characters and numerals has been extensively studied
in the last few decades and its accuracy reached to a satisfactory state. But the same cannot …
in the last few decades and its accuracy reached to a satisfactory state. But the same cannot …
Language-invariant novel feature descriptors for handwritten numeral recognition
Numeral recognition is treated as a benchmark research problem as this is a basic module
for designing a comprehensive optical character recognition system. In this context …
for designing a comprehensive optical character recognition system. In this context …
Optical character recognition for Brahmi script using geometric method
Optical character recognition (OCR) system has been widely used for conversion of images
of typed, handwritten or printed text into machine-encoded text (digital character). Previous …
of typed, handwritten or printed text into machine-encoded text (digital character). Previous …
Devanagari handwritten character recognition using CNN as feature extractor
SK Manocha, P Tewari - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
This paper proposes the use of Convolutional Neural Networks as feature extractor for
extraction of features from handwritten Devanagari characters. For classification, classifiers …
extraction of features from handwritten Devanagari characters. For classification, classifiers …
[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 overlapping characters, missing headlines, and …
societal advancements. Challenges such as overlapping characters, missing headlines, and …
Handwritten digit recognition using DAISY descriptor: a study
Handwritten digit recognition is a highly evolved research domain. The major issues that
make this domain challenging are different photometric discrepancies, along with …
make this domain challenging are different photometric discrepancies, along with …
Review of optical Devanagari character recognition techniques
Optical character recognition techniques are capable of automatic translating of document
images into equivalent character codes, so it helps in saving human energy as well as cost …
images into equivalent character codes, so it helps in saving human energy as well as cost …
A low-cost hybrid handwritten Devanagari character classifier
Optical character recognition (OCR) of handwritten documents is a popular field of research
due to its application in real life. It is a way of digitizing the documents. Though digitization of …
due to its application in real life. It is a way of digitizing the documents. Though digitization of …
Haar features based handwritten character recognition system for Tulu script
PJ Antony, CK Savitha, UJ Ujwal - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Automatic recognition of handwritten characters from scanned images helps to convert
characters in an image into convenient editable and readable form. Tulu is a south Indian …
characters in an image into convenient editable and readable form. Tulu is a south Indian …