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

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