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This paper presents a revised method for keyword search from handwritten digital ink in comparison with the previous system. We adopt a search method using noise reduction. Experiments on digital ink databases show that the revised method typically improves the systempsilas overall accuracy (f-measure) from 0.653 to
Facing high error rates and slow recognition speed for full text transcription of unconstrained handwriting images, keyword spotting is a promising alternative to locate specific search terms within scanned document images. We have previously proposed a learning-based method for keyword spotting using character hidden
Being able to search for words or phrases in historic handwritten documents is of paramount importance when preserving cultural heritage. Storing scanned pages of written text can save the information from degradation, but it does not make the textual information readily available. Automatic keyword spotting systems
Handwritten word spotting aims at making document images amenable to browsing and searching by keyword retrieval. In this paper, we present a word spotting system based on Hidden Markov Models (HMM) that uses trained subword models to spot keywords. With the proposed method, arbitrary keywords can be spotted that do
This paper presents a revised method for keyword search from Japanese handwritten digital ink. We employ Japanese string recognition and produce a candidate lattice. We search for a given keyword into the lattice so that we can search for the keyword even if constituent characters are not in the top candidates. We
In this paper, a new information extraction system by statistical shallow parsing in unconstrained handwritten documents is introduced. Unlike classical approaches found in the literature as keyword spotting or full document recognition, our approach relies on a strong and powerful global handwriting model. A entire
and also there is problem of non-repudiation. Besides, password authentication method as a keyword permission to access something is breakable. Hence, it can be leaked out and cracked by using any methods such as dictionary attack, or social engineering. Due to the drawback, this method is lack of universality of some
importantly, the dataset's unique twin-folio structure presents a natural fit for research on writer identification, keyword spotting, indexing and various forms of handwritten document search and retrieval. We first describe two central characteristics of the dataset - the twin-folio structure and dual modality (online/offline
by supervised learning. Experiments on TUAT Kuchibue database show that the proposed method can effectively improve the system performance. When the search method with the optimal threshold retrieves for a keyword consisting of two, three or four characters, its f-measure is 0.720, 0.868 or 0.923, respectively.
of new courses, there is a need of new model answers to the wide range of questions being asked. To address aforementioned issues effectually, this paper presents an approach which allows users to interact with paper documents, books and answer sheets etc. and to evaluate performance based on keywords harmonized with a
In this paper, we propose a novel system for word spotting and regular expression detection in Handwritten documents. The proposed approach is lexicon-free, i.e., able to spot arbitrary keywords that are not required to be known at the training stage. Furthermore, the proposed system is segmentation-free, i.e., text
entries as well as from scanned or handwritten documents. The search engine starts by expanding the queried keywords in order to enable an intuitive-like search. The look-up results are then filtered based on compatibility scoring mechanisms, based on CI techniques. The personalized business-matching results and
In this paper, we introduce an alpha-numerical sequences extraction system (keywords, numerical fields or alpha-numerical sequences) in unconstrained handwritten documents. Contrary to most of the approaches presented in the literature, our system relies on a global handwriting line model describing two kinds of
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