Writer Identification from Gray Level Distribution
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Stroke-Morphology Analysis Using Super-Imposed Writing Movements
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
An ink texture descriptor for NIR-imaged medieval documents
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
IWCF'10 Proceedings of the 4th international conference on Computational forensics
Near-Infrared Ink Differentiation in Medieval Manuscripts
International Journal of Computer Vision
Texture analysis for stroke classification in infrared reflectogramms
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A set of geometrical features for writer identification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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This paper presents an approach for ink type recognition. Ink type classes will be derived from the physical properties of ink. Ink specific trace morphologies are considered as textures. From these discriminant texture features of the cooccurrence matrix will be derived. The proposed method for automated ink type recognition was tested using 62 different kinds of pens andrefills. The achieved recognition result of 99.7% for 600 dpi and 98.4% for 300 dpi handwritings further promotes the study of trace morphologies in particular for application in forensic writer identification.