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Math spotting in technical documents using handwritten queries

by Li Yu, Richard Zanibbi - in Proc. Work. Pen-Based Mathematical Computation, Grand , 2009
"... Content-based image retrieval (CBIR) for documents has been studied for a long time [3]. It focuses on indexing and retrieval capabilities in a large set of document images and provides a convenient way for people to access the information in these images, which means retrieving document images by t ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
called X Y tree has been usually used to retrieve query image by comparing tree structure [1]. Based on pixel projection, the X-Y tree can be gotten by X-Y cutting (Figure 1b), which cuts the page in vertical and horizontal directions alternatively. Figure 1 shows the process of getting a X-Y tree of a

IMAGE-BASED MATH RETRIEVAL USING HANDWRITTEN QUERIES

by Li Yu, Li Yu, Dr. Manjeet Rege Rreader, Li Yu, Xi Ouyang, Ling Ouyang, Yuheng Wang, Haohui Yin , 2010
"... This thesis has been read by each member of the following graduate committee and by majority vote has been found to be satisfactory. ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
This thesis has been read by each member of the following graduate committee and by majority vote has been found to be satisfactory.

Math spotting: Retrieving math in technical documents using handwritten query images

by Richard Zanibbi, Li Yu - In Proc. Int’l Conf. Document Analysis and Recognition , 2011
"... Abstract—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from recursive X-Y trees produced for each page in the corpus. Queries are provided as images of handwritten expressions, ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
Abstract—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from recursive X-Y trees produced for each page in the corpus. Queries are provided as images of handwritten expressions

Koios++: A Query-Answering System for Handwritten Input

by Marcus Liwicki , Björn Forcher , Philipp Jaeger , Andreas Dengel
"... Abstract-In this paper we propose KOIOS++, which automatically processes natural language queries provided by handwritten input. The system integrates several recent achievements in the area of handwriting recognition, natural language processing, information retrieval, and human computer interacti ..."
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Abstract-In this paper we propose KOIOS++, which automatically processes natural language queries provided by handwritten input. The system integrates several recent achievements in the area of handwriting recognition, natural language processing, information retrieval, and human computer

Studies of Radical Model for Retrieval of Cursive Chinese Handwritten Annotations

by Matthew Ma, Chi Zhang, Patrick Wang, Iapr Fellow
"... Abstract. Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we proposed a semantic matching scheme that uses elastic matching with a dynamic programming approach based on the radi ..."
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Abstract. Our research focuses on Chinese online ink matching that tries to match handwritten annotations with handwritten queries without attempting to recognize them. Previously, we proposed a semantic matching scheme that uses elastic matching with a dynamic programming approach based

Handwritten word-image retrieval with synthesized typed queries

by José A. Rodríguez-serrano, Florent Perronnin - 10TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION , 2009
"... We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained “on the fly ” with images rendered from the searched words in one or multiple computer fonts. To reduce the mismatch between the typed-te ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained “on the fly ” with images rendered from the searched words in one or multiple computer fonts. To reduce the mismatch between the typed

Towards Query-by-Speech Handwritten Keyword Spotting

by David Aldavert, Ricardo Toledo
"... Abstract—In this paper, we present a new querying paradigm for handwritten keyword spotting. We propose to represent hand-written word images both by visual and audio representations, enabling a query-by-speech keyword spotting system. The two representations are merged together and projected to a c ..."
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Abstract—In this paper, we present a new querying paradigm for handwritten keyword spotting. We propose to represent hand-written word images both by visual and audio representations, enabling a query-by-speech keyword spotting system. The two representations are merged together and projected to a

Indexing of Handwritten Document Images

by unknown authors
"... An important problem in the management of scanned handwritten document image collections, is their indexing or retrieval based on word queries. This paper presents a method for fast localization of query words in handwritten images by an adaptation of the principle of geometric hashing. Specifically ..."
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An important problem in the management of scanned handwritten document image collections, is their indexing or retrieval based on word queries. This paper presents a method for fast localization of query words in handwritten images by an adaptation of the principle of geometric hashing

Lexical Error Compensation in Handwritten-Based Mathematical Information Retrieval

by Seyed Ali Ahmadi, Abdou Youssef
"... Abstract. Entering mathematical queries, in general, can be a demanding task. Mathematical notation is two-dimensional and cannot be easily typed with a standard QWERTY keyboard. Handwriting appears to be the most intuitive and promising method to express mathematical queries. Recognition technology ..."
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technology for handwritten mathematical notation has never been applied in math search. The objective of this research is to design and implement an automated symbol-recognition error compensation system for the handwritten-based query processing. To achieve this objective, we have designed and implemented a

Unconstrained handwritten document retrieval

by Huaigu Cao , Venu Govindaraju , Anurag Bhardwaj , H Cao , V Govindaraju , · A Bhardwaj , A Bhardwaj - International Journal on Document Analysis and Recognition
"... Abstract With the ever-increasing growth of the World Wide Web, there is an urgent need for an efficient information retrieval system that can search and retrieve handwritten documents when presented with user queries. However, unconstrained handwriting recognition remains a challenging task with i ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract With the ever-increasing growth of the World Wide Web, there is an urgent need for an efficient information retrieval system that can search and retrieve handwritten documents when presented with user queries. However, unconstrained handwriting recognition remains a challenging task
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