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A novel method for segmenting and straightening of text lines in handwritten Telugu documents based on smearing and regression approach
2018
International Journal of Engineering & Technology
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In handwritten document images, segmenting text lines is a very challenging task due to various reasons like variability in intra baseline skew and inter line distance between text lines. ...
To identify text lines more precisely cubic polynomial regression is used between vertical midpoints of two blocks of compound handwritten Telugu characters. ...
In [8] Dibyayan Chakraborty proposed method for detecting base line from multi-lingual multi-turn handwritten document images. ...
doi:10.14419/ijet.v7i3.13286
fatcat:gxvrm3yq7zdvlcnqw3kuoqrsq4
Automatic Script and Type Identification in Bi-lingual Forms
2016
International Journal of Computing and Information Sciences
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In this paper we have developed a system that can automatically discriminate between machine-printed and handwritten words in structured bi-lingual (Arabic and French) form document layout. ...
In the used forms, handwritten data usually touch or cross the preprinted form frames and texts, creating complex problems for the recognition routines. ...
Each minimum in the profile is considered as a separator between the text-lines (See Fig. 4 ). -Detection and removal of the connected components in the intersection with separators lines. ...
doi:10.21700/ijcis.2016.104
fatcat:ykevvi7p3rfjrgkk36mnzw56nq
A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation
2015
EURASIP Journal on Image and Video Processing
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Research in these and similar related problems requires the availability of handwritten samples for validation of the developed techniques and algorithms. ...
In addition to the statistics of the discussed databases, we also present a comparison of these databases on a number of dimensions. ...
IBM UB database The IBM UB database [111] developed at the Center for Unified Biometrics and Sensors (CUBS) at the University at Buffalo is a multi-lingual online/offline database of handwritten samples ...
doi:10.1186/s13640-015-0102-5
fatcat:cvp7kv5vmrddnlrvudn5z4wnnm
Improving patch-based scene text script identification with ensembles of conjoined networks
[article]
2017
arXiv
pre-print
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In addition, we propose a new public benchmark dataset for the evaluation of multi-lingual scene text end-to-end reading systems. ...
This paper focuses on the problem of script identification in scene text images. ...
The dataset is suitable for evaluating various typical stages of end-to-end pipelines, such as multi-script text detection, joint detection and script identification, end-toend multi-lingual recognition ...
arXiv:1602.07480v2
fatcat:ayqfeitjonao3mfjuvhbudfm3a
Markov models for offline handwriting recognition: a survey
2009
International Journal on Document Analysis and Recognition
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Since their first inception more than half a century ago, automatic reading systems have evolved substantially, thereby showing impressive performance on machine-printed text. ...
It is therefore the goal of this survey to provide a comprehensive overview of the application of Markov models in the research field of offline handwriting recognition, covering both the widely used hidden ...
These lines (baseline and the line above lowercase letters) are used for rotation normalization and shearing, detection of ascenders and descenders, and height normalization. ...
doi:10.1007/s10032-009-0098-4
fatcat:el2rdqroj5dp3bfuvzs2bwx2bm
A fine-grained approach to scene text script identification
[article]
2016
arXiv
pre-print
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The evidence provided shows that multi-lingual scene text recognition in the wild is a viable proposition. Source code of the proposed method is made available online. ...
In addition, we propose a new public benchmark dataset for the evaluation of joint text detection and script identification in natural scenes. ...
[5] , in the first work dealing this task, propose the use of the wavelet transform to detect edges in text line images. ...
arXiv:1602.07475v1
fatcat:xesy7sxekvcwvdzsuxfg6ygfcu
AUTOMATION OF INDIAN POSTAL DOCUMENTS WRITTEN IN BANGLA AND ENGLISH
2009
International journal of pattern recognition and artificial intelligence
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Here, at first, using Run Length Smoothing Approach (RLSA), non-text blocks (postal stamp, postal seal, etc.) are detected and using positional information Destination Address Block (DAB) is identified ...
Next, lines and words of the DAB are segmented. In India, the address part of a postal document may be written by combination of two scripts: Latin (English) and a local (State/region) script. ...
We are also thankful to the Indian Postal department for providing us space and facility to scan images of real postal documents. One of the authors (B. B. ...
doi:10.1142/s0218001409007776
fatcat:ov4nxyn3f5acdm5l24szp3u2py
A survey on optical character recognition for Bangla and Devanagari scripts
2013
Sadhana (Bangalore)
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Future directions of research in OCR for Indian scripts have been also given. ...
In this paper, we present a review of OCR work on Indian scripts, mainly on Bangla and Devanagari-the two most popular scripts in India. ...
Pal & Chaudhuri (2000) have proposed an automatic recognition scheme for unconstrained off-line Bangla handwritten numerals. ...
doi:10.1007/s12046-013-0121-9
fatcat:4fna65koxfhw7hwehsrjhe34ma
Cursive Character Recognition in Natural Scene Images using a Multilevel Convolutional Neural Network Fusion
2020
IEEE Access
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The complex backgrounds, variations in the writing, text size, orientations, low resolution and multi-language text make recognition of text in natural images a complex and challenging task. ...
INDEX TERMS Cursive text recognition, natural scene Urdu character recognition, multi-scale feature aggregation, multi-level feature fusion, convolutional neural network (CNN) VOLUME 7, 2019 ...
ACKNOWLEDGEMENT The first author is thankful to the University of New South Wales, Australia for supporting his Ph.D. candidature with a scholarship. ...
doi:10.1109/access.2020.3001605
fatcat:s2sbgrsoafdl5gpyqdvlziwiw4
Graph Modeling based Segmentation of Handwritten Arabic Text into Constituent Subwords
2016
International Journal of Image Graphics and Signal Processing
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Arabic text line can be viewed as a sequence of words which in turn can be viewed as a sequence of subwords. ...
In this paper, the task of segmenting handwritten Arabic text at sub-word level is taken up. ...
The author also acknowledges University of Thamar, Yemen for financial support. ...
doi:10.5815/ijigsp.2016.12.02
fatcat:tefif3rwi5cpdlzim2pwxi3744
Graph Modeling based Segmentation of Handwritten Arabic Text into Constituent Subwords
2016
International Journal of Image Graphics and Signal Processing
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Arabic text line can be viewed as a sequence of words which in turn can be viewed as a sequence of subwords. ...
In this paper, the task of segmenting handwritten Arabic text at sub-word level is taken up. ...
The author also acknowledges University of Thamar, Yemen for financial support. ...
doi:10.5815/ijigsp.2015.12.02
fatcat:7mxty5yatffdxjldj2dybn7syy
A brief review of document image retrieval methods: Recent advances
2016
2016 International Joint Conference on Neural Networks (IJCNN)
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Due to the rapid increase of different digitized documents, the development of a system to automatically retrieve document images from a large collection of structured and unstructured document images ...
This paper provides an overview of the methods which have been applied for document image retrieval over recent years. ...
Skew detection and correction [19] [20] [21] , border removal [20] , and normalization of the text line width [22] are also used to enhance document images. ...
doi:10.1109/ijcnn.2016.7727648
dblp:conf/ijcnn/AlaeiABP16
fatcat:5tzfmk55r5hmpa3tnhcj3chuji
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding
[article]
2018
arXiv
pre-print
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We have used a two-stage word spotting approach using Hidden Markov Model (HMM) to detect the translated keyword in a given text line by identifying the script of the line. ...
Retrieval of text information from natural scene images and video frames is a challenging task due to its inherent problems like complex character shapes, low resolution, background noise, etc. ...
To the best of our knowledge, searching of scene/video text in multi-lingual scripts is hardly reported in the literature. ...
arXiv:1708.05529v6
fatcat:4ktrdk2khrh35m5f6o2b3msde4
Character Degradation Model and HMM Word Recognition System for Text Extracted from Maps
[chapter]
2011
Recent Advances in Document Recognition and Understanding
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In the first method, the paper map is placed on top of the digitizing tablet, and the operator traces over lines and other objects of interest using a stylus or a digitizing puck (a device with crosshairs ...
Geographic maps are one of the most abundant and valuable sources of accurate information about various features of bodies of land and water. ...
. • Clutter Removal: The remaining non text objects consisting of buildings, dashed lines, and line fragments are removed using morphological operations, a dashed line detection algorithm, and a search ...
doi:10.5772/17814
fatcat:dwfxnp2clfae5kivacywi6aa6y
Learning Neural Textual Representations for Citation Recommendation
2021
2020 25th International Conference on Pattern Recognition (ICPR)
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Approach to Offline Handwritten Chinese and
Japanese Text Line Recognition
DAY 1 -Jan 12, 2021
Liebl, Bernhard; Burghardt, Manuel
1412
An Evaluation of DNN Architectures for Page Segmentation of ...
for Historical Ciphered Manuscript
Recognition
DAY 1 -Jan 12, 2021 -DAY 1 -Jan 12, 2021
Quirós, Lorenzo; Vidal, Enrique
2114
OS T4.1
Learning to Sort Handwritten Text Lines in Reading Order through ...
doi:10.1109/icpr48806.2021.9412725
fatcat:3vge2tpd2zf7jcv5btcixnaikm
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