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Recognition and Retrieval of Mathematical Expressions
 INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
"... Document recognition and retrieval technologies complement one another, providing improved access to increasingly large document collections. While recognition and retrieval of textual information is fairly mature, with widespread availability of Optical Character Recognition (OCR) and textbased ..."
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Document recognition and retrieval technologies complement one another, providing improved access to increasingly large document collections. While recognition and retrieval of textual information is fairly mature, with widespread availability of Optical Character Recognition (OCR) and textbased search engines, recognition and retrieval of graphics such as images, figures, tables, diagrams, and mathematical expressions are in comparatively early stages of research. This paper surveys the state of the art in recognition and retrieval of mathematical expressions, organized around four key problems in math retrieval (query construction, normalization, indexing, and relevance feedback), and four key problems in math recognition (detecting expressions, detecting and classifying symbols, analyzing symbol layout, and constructing a representation of meaning). Of special interest is the machine learning problem of jointly optimizing the component algorithms in a math recognition system, and developing effective indexing, retrieval and relevance feedback algorithms for math retrieval. Another important open problem is developing user interfaces that seamlessly integrate recognition and retrieval. Activity in these important research areas is increasing, in part because math notation provides an excellent domain for studying problems common to many document and graphics recognition and retrieval applications, and also because mature applications will likely provide substantial benefits for education, research, and mathematical literacy.
The DTW Data Distribution over a Grid Computing Architecture Manuscript received July 25, 2007.
, 2007
"... In this paper; we show how grid computing can further speedup Dynamic Time Warping (DTW) algorithm. More specifically, we present experimental results of the data distribution of the Arabic printed cursive OCR based on the Dynamic Time Warping (DTW) algorithm over the Scientific Research Tunisian Gr ..."
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In this paper; we show how grid computing can further speedup Dynamic Time Warping (DTW) algorithm. More specifically, we present experimental results of the data distribution of the Arabic printed cursive OCR based on the Dynamic Time Warping (DTW) algorithm over the Scientific Research Tunisian Grid (SRTG). In fact, the Arabic printed cursive OCR based on the DTW algorithm provides very interesting recognition and segmentation rates. Among the advantages of the DTW algorithm, is its ability to achieve properly and simultaneously the recognition and the segmentation of connected or cursive characters from within a reference library of isolated characters. Unfortunately, the big amount of computing to be achieved during the recognition process makes the DTW execution time very slow and hence restricts its utilization. Conducted experiments show and confirm that grid computing presents a very interesting framework to speedup the DTW execution time. In addition, we found that the speedup and the efficiency factors increase with the size of the Arabic text. Key words: The DTW algorithm; Arabic printed cursive OCR;
A P2P GRID ARCHITECTURE FOR DISTRIBUTED ARABIC OCR BASED ON THE DTW ALGORITHM
"... Arabic cursive optical character recognition (OCR) based on the dynamic time warping (DTW) algorithm provides simultaneously very interesting segmentation and recognition rates. However, the computing complexity of the DTW algorithm restricts its widespread utilization and its consideration at a com ..."
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Arabic cursive optical character recognition (OCR) based on the dynamic time warping (DTW) algorithm provides simultaneously very interesting segmentation and recognition rates. However, the computing complexity of the DTW algorithm restricts its widespread utilization and its consideration at a commercial scale. Accelerating the DTW execution time has attracted many researchers and several solutions have already been proposed. These solutions are commonly based on very specialized processors and hardware architectures and as such they remain very expensive and not amenable to a large scale utilization. In a previous work, we found that loosely coupled architectures can indeed provide viable infrastructures to implement a distributed Arabic OCR. Our objective here is to allow the recognition of huge quantities of Arabic documents such as those of certain national libraries. Undoubtedly, enough processing power and storage capabilities are needed. In this paper, we proposed and used a peertopeer (P2P) architecture using the scientific research Tunisian grid (SRTG). Conducted experiments testify that our proposed architecture provides very adequate speedups of the DTWbased
A simplified feature vector obtained by wavelets method for fast and accurate recognition of handwritten characters offline
"... Abstract. This paper presents an algorithm for simplified features extraction based on a wavelet method for offline recognition of handwritten character. The proposal is applied to a set of 3250 handwritten symbols, which include the digits and the upper and lowercase character of English alphabet ..."
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Abstract. This paper presents an algorithm for simplified features extraction based on a wavelet method for offline recognition of handwritten character. The proposal is applied to a set of 3250 handwritten symbols, which include the digits and the upper and lowercase character of English alphabet. The effectiveness of our algorithm is tested by comparison against the descriptors FKI and Wavelets using the Nearest Neighbour rule as classifier. The classification is measured in percentage of overall Accuracy and the processing time obtained by each methods.
DOI: 10.1007/9783642393303_9 Using Online Handwriting and Audio Streams for Mathematical Expressions Recognition: a Bimodal Approach
, 2013
"... The work reported in this paper concerns the problem of mathematical expressions recognition. This task is known to be a very hard one. We propose to alleviate the difficulties by taking into account two complementary modalities. The modalities referred to are handwriting and audio ones. To combine ..."
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The work reported in this paper concerns the problem of mathematical expressions recognition. This task is known to be a very hard one. We propose to alleviate the difficulties by taking into account two complementary modalities. The modalities referred to are handwriting and audio ones. To combine the signals coming from both modalities, various fusion methods are explored. Performances evaluated on the HAMEX dataset show a significant improvement compared to a single modality (handwriting) based system.
Univerzita Karlova v Praze Matematickofyzikálńı fakulta
"... Online rozpoznáváńı ručne ̌ psaných matematických formuĺı Katedra teoreticke ́ informatiky a matematicke ́ logiky ..."
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Online rozpoznáváńı ručne ̌ psaných matematických formuĺı Katedra teoreticke ́ informatiky a matematicke ́ logiky