Texture feature column scheme for single‐and multi‐script writer identification
Identification of writers from images of handwriting is an interesting research problem in the
handwriting recognition community. Application of image analysis and machine learning
techniques to this problem allows development of computerised solutions which can
facilitate forensic experts in reducing the search space against a questioned document. This
article investigates the effectiveness of textural measures in characterising the writer of a
handwritten document. A novel descriptor by crossing the local binary patterns (LBP) with …
handwriting recognition community. Application of image analysis and machine learning
techniques to this problem allows development of computerised solutions which can
facilitate forensic experts in reducing the search space against a questioned document. This
article investigates the effectiveness of textural measures in characterising the writer of a
handwritten document. A novel descriptor by crossing the local binary patterns (LBP) with …
[引用][C] Texture feature column scheme for single and multi-script writer identification. IET Biometrics 10 (2), 179–193 (2021)
F Abbas, A Gattal, C Djeddi, I Siddiqi, A Bensefia…
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