Results 191 to 200 of about 815,840 (218)
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Word-Level Script Identification from Handwritten Multi-script Documents
2015In this paper, a robust word-level handwritten script identification technique has been proposed. A combination of shape based and texture based features are used to identify the script of the handwritten word images written in any of five scripts namely, Bangla, Devnagari, Malayalam, Telugu and Roman.
Pawan Kumar Singh 0001 +4 more
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Word-Level Handwritten Script Identification from Multi-script Documents
2014In this paper, we present the directional discrete cosine transform (DCT) based rotation invariant features for word-level handwritten script identification. Our aim in this paper is two folds: one is to validate the effectiveness of the directional DCT (D-DCT) in extracting edge information of the studied word image and another is to provide rotation ...
Mallikarjun Hangarge, KC Santosh
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A Review on Handwritten Indian Script Identification
2020India is a culturally diverse population having 13 official scripts and 23 official languages. To retrieve information from any documents e.g. ancient, medieval, epigraphs, palm leaf manuscript, and even unregulated document formats written in multi-script/languages requires an optical character recognition system.
Lalit P. Ganorkar, Dinesh V. Rojatkar
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Script independent handwritten numeral recognition
IET International Conference on Visual Information Engineering (VIE 2006), 2006This paper presents an off-line handwritten recognition system for numerals that is independent of the script. Numeral set from five major Indian language and English language are selected for recognition. Wavelets that have been progressively used in pattern recognition and many character recognition systems are used in our system to extract the ...
R. Sanjeev Kunte, R.D. Sudhaker Samuel
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Handwritten character recognition of Odia script
2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016This paper presents a character recognition system of handwritten Odia script. Although, a lot of research has been carried out in handwritten character recognition, not considerable research has been carried out to recognize handwritten Odia characters. In this work we have attempted to classify 36 basic Odia consonants.
Indugu Rushiraj +2 more
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International Journal of Pattern Recognition and Artificial Intelligence, 2017
We present a novel approach for separating Indic scripts with ‘matra’, which is used as a precursor to advance and/or ease subsequent handwritten script identification in multi-script documents. In our study, among state-of-the-art features and classifiers, an optimized fractal geometry analysis and random forest are found to be the best performer to ...
Sk Md Obaidullah +5 more
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We present a novel approach for separating Indic scripts with ‘matra’, which is used as a precursor to advance and/or ease subsequent handwritten script identification in multi-script documents. In our study, among state-of-the-art features and classifiers, an optimized fractal geometry analysis and random forest are found to be the best performer to ...
Sk Md Obaidullah +5 more
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Handwritten Script Detection and Translation
SSRN Electronic Journal, 2023Sanket Arekar +4 more
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Text line segmentation of unconstrained handwritten Kannada script
Proceedings of the 2011 International Conference on Communication, Computing & Security, 2011Separating text lines in handwritten documents remains a challenge because the text lines are often varying skewed and curved. In this paper, we propose a novel method for text line segmentation of unconstrained handwritten Kannada script. The proposed method consists of two phases.
V. N. Manjunath Aradhya, C. Naveena
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Deep Learning for Feature Extraction of Arabic Handwritten Script
2015In recent years, systems based on deep learning have gained great popularity in the pattern recognition filed. This is basically to benefit from the hierarchical representations used to unlabeled data which is becoming the focus of many researchers since it represents the easiest way to deal with a huge amount of data.
Mohamed Elleuch +2 more
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