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Techn. Fakultät Willkommen am Institut für Informatik FAU-Logo

Dipl.-Inf. Vincent Christlein

Researcher in the Computer Vision group at the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Writer Identification
  • In contrast to physiological biometric identifiers like fingerprints or iris scans, handwriting can be seen as a behavioral identifier. The process of writing is heavily influenced by factors like schooling or aging.  Writer identification is the task of finding an individual scribe in a large data corpus. Typical applications lie in the fields of forensics or security. However, writer identification recently also raised interest in the analysis of historical texts, where they might give new insights of life in the past.

    For more information please visit our Opens internal link in current windowproject page.

Document Analysis of High Medieval Papal Charters
Excerpt of a document of the pontificate of Leo IX (1050)
"Rota" (pontificate LEO IX, 1049)

The papal documents of the Middle Ages are at the center of this research project. It is a cooperation with the mediavistic lab of the university of munich (LMU) and the medieval history lab of the university of Erlangen (FAU). The goal is the detailed anaysis of the upheavals which happened to the papal documents during the 11th and 12th century. 

On one hand, the focus is on the historical sequence of these upheavals, and on the other hand at the appearance of the papal documents: the script as well as the modified or newly introduced gaphical symbols, e.g. Rota, Benevalete, of the pontificate of Leo IX.

For more information please visit our Opens internal link in current windowproject page.

Image Forensics
Original image
Tampered image and detection result (green contour)

Photo editing tools like Photoshops make it easy to tamper digital images in a way that it is impossible to detect it with the naked eye. Thus, deciding whether an image is altered or not becomes more and more important in many scenarios, e.g. in law enforcement and journalism. We investigate the possibilities of digital imaginary to assess the detection of forgeries. My main interest lies in the detection of so called copy-move forgeries, in which a region of an image is duplicated and pasted in the same image.

For more information, please visit our Opens internal link in current windowproject page.