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Titlebook: Document Analysis and Recognition; 4th Workshop, DAR 20 Suresh Sundaram,Gaurav Harit Conference proceedings 2019 Springer Nature Singapore

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https://doi.org/10.1007/978-981-10-6476-0ext is the varied size of each letter in different documents, connected alphabets in a word in cursive writing and the presence of ligatures within an open character. Hence, this paper proposes an adaptive vertical pixel count algorithm to solve the problem of over-segmentation due to the presence o
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Sue Dockett,Anne Petriwskyj,Bob Perryon. This paper presents a new method based on Multi-Gabor Response (MGR) fusion for gender identification at the word level. It first explores weighted-gradient features for word segmentation from text line images. For each word, the proposed method obtains eight Gabor response images. Then it perfo
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https://doi.org/10.1007/978-94-007-7350-9hough mobile based services offer many benefits, authenticating the user logging into the system is a big challenge. To mitigate this concern, secure mobile applications based on user online signature verification (OSV) has been proposed. Unfortunately, these models would intensify the substantial c
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Bernard Pecqueur,Paulo Freire Vieiraal techniques for handwritten character recognition have been proposed. Due to the lack of publicly accessible benchmark datasets of Gurmukhi script, no extensive comparisons have been undertaken between those techniques, especially for this script. Over the years, datasets and benchmarks have prove
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978-981-13-9360-0Springer Nature Singapore Pte Ltd. 2019
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