Comparison of global and local features for author's identification by using geometrical and zoning methods

• Main Authors: Jalil, I. E. A., Shamsuddin, S. M., Muda, A. K., Azmi, M. S., Hasan, S., Ahmad, S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/92485/1/ShafaatunnurHasan2020_ComparisonOfGlobalAndLocalFeaturesForAuthorsIdentification.pdf; http://eprints.utm.my/id/eprint/92485/; http://dx.doi.org/10.1088/1742-6596/1502/1/012049
• Institution: Universiti Teknologi Malaysia

Identification analysis for author's handwriting image in forensic investigation is still an important research area in this current big data era. Images feature extraction can lead to an issue of high dimensionality of data. The process of feature extraction is the most crucial process in auth...