A supervised algorithm with a new differentiated-weighting scheme for identifying the author of a handwritten text

In this paper a new approach is presented for tackling the problem of identifying the author of a handwritten text. This problem is solved with a simple, yet powerful, modification of the so called ALVOT family of supervised classification algorithms with a novel differentiated-weighting scheme. Compared to other previously published approaches, the proposed method significantly reduces the number and complexity of the text-features to be extracted from the text. Also, the specific combination of line-level and word-level features used introduces an eclectic paradigm between texture-related and structure-related approaches.

► We identify a handwritten text’s author with supervised-classification techniques.
► Significantly reduced number and complexity of text-features at word and line levels.
► We use a modified ALVOT algorithm along with a novel differentiated-weighting scheme.
► Shows an eclectic paradigm between texture-related and structure-related approaches.