%0 Conference Proceedings %T Graphological Analysis of Handwritten Text Documents for Human Resources Recruitment %A Ricard Coll %A Alicia Fornes %A Josep Llados %B 10th International Conference on Document Analysis and Recognition %D 2009 %@ 1520-5363 %@ 978-1-4244-4500-4 %F Ricard Coll2009 %O DAG %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1221), last updated on Tue, 17 Dec 2013 13:12:22 +0100 %X The use of graphology in recruitment processes has become a popular tool in many human resources companies. This paper presents a model that links features from handwritten images to a number of personality characteristics used to measure applicant aptitudes for the job in a particular hiring scenario. In particular we propose a model of measuring active personality and leadership of the writer. Graphological features that define such a profile are measured in terms of document and script attributes like layout configuration, letter size, shape, slant and skew angle of lines, etc. After the extraction, data is classified using a neural network. An experimental framework with real samples has been constructed to illustrate the performance of the approach. %U http://dx.doi.org/10.1109/ICDAR.2009.213 %P 1081–1085