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ZENODO
Dataset . 2008
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Imunipen Image Data Set For Writer Identification (N=208) - Vectorial Handwriting Converted To Usable Images

Authors: Schomaker, Lambert;

Imunipen Image Data Set For Writer Identification (N=208) - Vectorial Handwriting Converted To Usable Images

Abstract

============== Terms of Usage ============== The ImUnipen data set is intended for non-commercial, scientific use, and is distributed under auspices of the Unipen Foundation. Please always refer to the following paper in IEEE PAMI when using the ImUnipen data set: Bulacu, M.; Schomaker, L. Text-Independent Writer Identification and Verification Using Textural and Allographic Features Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 4, April 2007 Page(s):701 - 717 The ImUnipen data set is derived from the Unipen (unipen.org) data set of on-line (i.e., vectorial, xy) handwriting. The xy-coordinates and a line-generator algorithm are used to generate a raster image, as if the data were optically scanned. Contents: for 208 writers, there are two PNG images per writer of an artificially constructed table of naturally written words (49MByte). These words are pasted onto a white page. For systematics reasons, we call such a page a Paragraph, see below. The file names are organized as (example): Writ990221.Doc01.Par00.png Writ990221.Doc01.Par01.png meaning: writer number 990221, document 01 (there exists only Doc01) and the image with artificial "paragraph" of isolated words "Par00" and "Par01". The Par00 and Pa01 images are typically used as the query and best match in a leave-one-out setting for writer identification. For instance, Par00 is the query, and Par01 is added to the total set of all other images as the attractor for an identification search. For these experiments, word labels are not given in this data set, on purpose, as the goal is to test recognition-free writer identification methods. For a description of the regular Unipen data set, please visit http://unipen.org Lambert Schomaker constructed this set in 2005

{"references": ["Bulacu, M.; Schomaker, L. Text-Independent Writer Identification and Verification Using Textural and Allographic Features Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume 29, Issue 4, April 2007 Page(s):701 - 717"]}

http://www.ai.rug.nl/~lambert/unipen/ImUnipen/

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Keywords

Unipen on-line handwriting database, images of handwritten text, writer identification, benchmarking, rasterized on-line handwriting

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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