Implementation techniques for geometric branch-and-bound matching methods
Computer Vision and Image Understanding
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Signature Using Intrinsic Features for Counterfeit Detection
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
IWCF'10 Proceedings of the 4th international conference on Computational forensics
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In questioned document examination many different problems arise: documents can be forged or altered, signatures can be counterfeited, etc. When experts attempt to identify such forgeries manually, they use among others line orientation as a feature. This paper describes an automatic mean for measuring the line justification and helping the specialist to find suspicious lines. The goal is to use this method as one of several screening tools for scanning large document collections for the potential presence of forgeries. This method extracts the text-lines, measures their orientation angle and decides the validity of these measured angles based on previously trained parameters.