{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:31:12Z","timestamp":1761647472033},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2007,2]]},"abstract":"<jats:p> A well-established task in forensic writer identification focuses on the comparison of prototypical character shapes (allographs) present in handwriting. In order for a computer to perform this task convincingly, it should yield results that are plausible and understandable to the human expert. Trajectory matching is a well-known method to compare two allographs. This paper assesses a promising technique for so-called human-congruous trajectory matching, called Dynamic Time Warping (DTW). In the first part of the paper, an experiment is described that shows that DTW yields results that correspond to the expectations of human users. Since DTW requires the dynamics of the handwritten trace, the \"online\" dynamic allograph trajectories need to be extracted from the \"offline\" scanned documents. In the second part of the paper, an automatic procedure to perform this task is described. Images were generated from a large online dataset that provides the true trajectories. This allows for a quantitative assessment of the trajectory extraction techniques rather than a qualitative discussion of a small number of examples. Our results show that DTW can significantly improve the results from trajectory extraction when compared to traditional techniques. <\/jats:p>","DOI":"10.1142\/s0218001407005302","type":"journal-article","created":{"date-parts":[[2007,2,27]],"date-time":"2007-02-27T13:47:09Z","timestamp":1172584029000},"page":"61-81","source":"Crossref","is-referenced-by-count":32,"title":["AUTOMATIC ALLOGRAPH MATCHING IN FORENSIC WRITER IDENTIFICATION"],"prefix":"10.1142","volume":"21","author":[{"given":"RALPH","family":"NIELS","sequence":"first","affiliation":[{"name":"Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, The Netherlands"}]},{"given":"LOUIS","family":"VUURPIJL","sequence":"additional","affiliation":[{"name":"Nijmegen Institute for Cognition and Information, Radboud University Nijmegen, The Netherlands"}]},{"given":"LAMBERT","family":"SCHOMAKER","sequence":"additional","affiliation":[{"name":"Artificial Intelligence, University of Groningen, The Netherlands"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.03.024"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(93)90168-V"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1007\/BF00126503"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1201\/9781420048773"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1109\/34.877517"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1109\/34.982884"},{"key":"rf14","unstructured":"J.\u00a0Kruskal and M.\u00a0Liberman, Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparisons, eds. D.\u00a0Sankoff and J.\u00a0Kruskal (Addison-Wesley, Reading, MA, 1983)\u00a0pp. 125\u2013161."},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1109\/34.908966"},{"key":"rf18","volume-title":"Forensic Handwriting Identification: Fundamentals, Concepts and Principals","author":"Morris R. N.","year":"2000"},{"key":"rf24","first-page":"90","volume":"8","author":"Plamondon R.","journal-title":"IEEE Trans. Imag. Process."},{"key":"rf25","doi-asserted-by":"publisher","DOI":"10.1109\/21.44021"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.18"},{"key":"rf28","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(93)90171-R"},{"key":"rf35","first-page":"90","volume":"2","author":"Steinherz T.","journal-title":"Int. J. Doc. Anal. Recogn."},{"key":"rf36","doi-asserted-by":"publisher","DOI":"10.1147\/rd.266.0765"},{"key":"rf37","doi-asserted-by":"publisher","DOI":"10.1117\/12.526927"},{"key":"rf42","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-003-0104-1"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001407005302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T16:42:25Z","timestamp":1565196145000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001407005302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,2]]},"references-count":17,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2007,2]]}},"alternative-id":["10.1142\/S0218001407005302"],"URL":"https:\/\/doi.org\/10.1142\/s0218001407005302","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,2]]}}}