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About 209 papers for “Bangla script”

Segmentation of handwritten Bangla script

Arafat Rahman, Hossain Md. Cyrus, Farhad Yasir et al. · 2013

Segmentation of handwritten Bangla script is one of the most critical areas of the Optical Character Recognition System. Paying attention on the various writing style of different individuals we propose an efficient scheme to segment unconstrained handwritten Bangla script into lines, words and characters. At First for Line Segmentation, we divide the whole script into column segment. These segments are calculated by the mode of the width of each black pixel region. In each column segment, we mark potential line markers considering the height of black pixel regions. We compute a set of potential line markers for each segment and join them using the Construct Line Algorithm method. The algorithm is used to segment the text lines. Considering the width of the black pixel regions and computing the distance between two consecutive black pixel regions, lines are segmented into words. In handwritten word, determining the Matra is necessary to segment the word into characters. We take the word into minimum bounding box and consider those black pixels where the vertical flow of white pixels block. The mode of the vertical positions of these black pixels is determined to find the Matra zone where the characters are connected with one another. Considering pixel density of these connections between two characters are determined to divide the words into characters.

Cited by 1

Assessment of Bangla Descriptive Answer Script Digitally

Md Gulzar Hussain, Sumaiya Kabir, Tamim Al Mahmud et al. · 2019

Answer script evaluation is an essential part of the student evaluation process in the education system. In an exam, students need to answer subjective and objective questions. In educational institutes, instructors need to evaluate the answer script manually to evaluate the students. In Bangladesh, the number of students and institutes are increasing day by day. For this reason, it is becoming hard to evaluate the answer script in a perfect way by the instructors. So it is necessary to find a way to evaluate the answer script automatically. Many techniques are proposed for the English language, but we didn't find any for Bangla language. Our paper proposed a way to evaluate Bangla subjective answer scrips automatically by keyword matching and linguistic analysis. Using our proposed model we have tested on answer scripts of 20 questions and found the minimum relative error of 1.8%. 15 teachers and 10 students volunteered to evaluate the answer scripts.

Cited by 11

Synthesis of individual handwriting in Bangla script

Bidyut B Chaudhuri, Abhisek Kundu · 2014

Document processing concerns synthesis as well as analysis and recognition of documents. This paper concerns automatic synthesis of handwritten Bangla text in an individual style of writing. Individual handwriting has macro structures like line orientation, neighboring word unevenness, interline spacing, margin orientation etc as well as micro properties like individual character shapes and inter-character transitions. Because of high complexity of Bangla writing, a combination of stored character database and stroke synthesis by spline with paint brushing is employed in our present synthesis model. The macro structure properties are also computed and used in the synthesis approach. A typical example of synthesis result is shown and other results are discussed.

Cited by 0

Integration of Bangla script recognition support in OCRopus

Muttakinur Rahman Chowdhury · BRAC University Institutional Repository (BRAC University) · 2008

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.

Cited by 0Open access

Integrating Bangla script recognition support in tesseract OCR

Md. Abul Hasnat, Muttakinur Rahman Chowdhury, Mumit Khan · BRAC University Institutional Repository (BRAC University) · 2009

Tesseract is considered one of the most accurate free software OCR engines currently available.It was originally developed by Hewlett-Packard from 1985 until 1995, and is currently maintained by Google.At present, Tesseract is capable of only recognizing English, French, Italian, German, Spanish and Dutch.However, it is possible to make Tesseract recognize other scripts if the engine is trained with the requisite data.In this paper, we present a complete methodology to integrate Bangla script recognition support in Tesseract.

Cited by 23Open access

A Survey on Script Segmentation for Bangla OCR

Arif Billah, Al-mahmud Abdullah, Mumit Khan · 2008

Script segmentation is an important primary task for any Optical Character Recognition (OCR) software. Especially, in case of off-line OCR for printed character, it has more importance. Through script segmentation a big image of some written document is fragmented into a number of small pieces which are then used for pattern matching to determine the expected sequence of characters. In the implementation of Bangla OCR, the script segmentation may also play a vital role. But, for accurate and proper segmentation it is necessary to identify the properties of Bangla script as well as the exceptions. This paper depicts the most important and useful properties, advantages, disadvantages of various Bangla scripts, especially the printed scripts. It also gives some ideas regarding the prospective field of Bangla OCR and its applications. 1.

Cited by 0

Skew angle detection of bangla script using radon transform

S. M. Murtoza Habib, Nawsher Ahamed Noor, Mumit Khan · BRAC University Institutional Repository (BRAC University) · 2006

Skew angle detection and correction an integral part of any OCR system. Without proper skew correction, the performance of an OCR will simply not be acceptable for most scanned images. We propose an innovative method for skew angle detection and correction for Bangla scripts using the Radon Transform. The basic idea is to identify the upper envelope by detecting the headline that accompanies most of the letters in the Bangla script, and then apply the Radon Transform to this upper envelope to get the skew angle. Once the angle is known, the correction is quite trivial to perform. While the current implementation handles only a single skew angle per text image, it can be extended to handle multiple skew angles by partitioning the document image. 1.

Cited by 9Open access

Word level Script Identification from Bangla and Devanagri Handwritten Texts mixed with Roman Script

Ram Sarkar, Nibaran Das, Subhadip Basu et al. · arXiv (Cornell University) · 2010

India is a multi-lingual country where Roman script is often used alongside different Indic scripts in a text document. To develop a script specific handwritten Optical Character Recognition (OCR) system, it is therefore necessary to identify the scripts of handwritten text correctly. In this paper, we present a system, which automatically separates the scripts of handwritten words from a document, written in Bangla or Devanagri mixed with Roman scripts. In this script separation technique, we first, extract the text lines and words from document pages using a script independent Neighboring Component Analysis technique. Then we have designed a Multi Layer Perceptron (MLP) based classifier for script separation, trained with 8 different wordlevel holistic features. Two equal sized datasets, one with Bangla and Roman scripts and the other with Devanagri and Roman scripts, are prepared for the system evaluation. On respective independent text samples, word-level script identification accuracies of 99.29% and 98.43% are achieved.

Cited by 25Open access

A SIMPLE SCRIPT FOR BANGLA AND THE IPA MAPPING THEREOF

Shah M Musa, Ph D · 2006

conjuncts make the script unnecessarily complex and difficult to learn and to use. The conjuncts not only engender an exponentially large number of total characters for the script, but also render the character set to stay undefined and open ended. For example, one is unable to definitively answer the question, exactly how many conjunct characters are there in the Bangla script? By doing away with the conjuncts we not only make the script simpler, complete, and more elegant, but also open up a whole new world of opportunities where any complex sounding foreign word (e.g. words like Tsunami, Ptolemy, etc, which possess complex affricate sounds) can easily be imported or any new word can easily be coined and represented without redefining the character set of the script. In this paper a complete script of a conjunct-free writing system of Bangla, named as Nobobangla, is presented. The alphabet set of the Nobobangla script and the rules to convert any Bangla word into Nobobangla format is described. Nobobangla is simple, direct, and easy to use in computing and in any other use. An efficient and easy-to-memorize mapping of the QWERTY keyboard for the Nobobangla characters is illustrated. A phonetic analysis of the Nobobangla script is presented in this paper, for the richness and the completeness of its sounds. An exhaustive list of the Nobobangla phonemes are presented using the IPA

Cited by 0

Content Independent Writer Identification on Bangla Script: A Document Level Approach

Chayan Halder, Sk Md Obaidullah, KC Santosh et al. · International Journal of Pattern Recognition and Artificial Intelligence · 2018

Offline writer identification is one of the major fields of study in behavioral biometric. It is a process of matching a questioned document with other documents of known writers to find the appropriate writer. In this paper, local handwriting-based attributes are used as features, and multi-layer perceptron and simple logistic classifiers are used for decision making. The method is tested on an unconstrained handwritten Bangla database of 1383 documents with variable number of datasets from 190 writers. Experimental results show the effectiveness of our system, since it outperforms the state-of-the-art methods by approximately 3% (top-3 and top-4 choices). Further, our method is approximately 27 times faster than conventional segmentation-based methods.

Cited by 20

Script Segmentation of Printed Devnagari and Bangla Languages Document Images OCR

Manoj Kumar Shukla, Tushar Patnaik, Shrikant Tiwari et al. · 2011

In this Paper we focus on the line, word, character segmentation of printed Devnagari and Bangla script document for efficient recognition of the character. Devnagari and Bangla is the most popular script in the world. Script segmentation is very important step in the process of recognition of Indian languages document character. In the performance of script segmentation we have found 100% at line level script segmentation, 100% at world level script segmentation and approximately 100 % at character level segmentation of Devnagari and Bangla script document image after testing.

Cited by 6

An Open Source Tesseract Based Optical Character Recognizer for Bangla Script

Md. Abul Hasnat, Muttakinur Rahman Chowdhury, Mumit Khan · 2009

BanglaOCR is currently the only open source optical character recognition (OCR) software for the Bangla (Bengali) script developed by the Center for Research on Bangla Language Processing (CRBLP). Tesseract, maintained by Google, is considered to be one of the most accurate free open source OCR engines currently available. In this paper, we present a new OCR for the Bangla/Bengali script that combines the recognition power of Tesseract and the Bangla script processing power of BanglaOCR by integrating the Tesseract recognition engine into BanglaOCR. We first present the complete methodology to build the combined OCR, followed by the implementation strategy. In this paper, we focus on the training data preparation process, Tesseract integration procedure and the post-processing techniques. The techniques described in this paper can be readily applied to build OCRs for other scripts as well.

Cited by 37