One of the most popular areas of study in pattern recognition which has now become the centre of many\r\nresearchers� attention is Writer Identification. A more recent development in the area is Twins Handwriting\r\nIdentification which has now become not only an important, but also widely popular area of study especially in\r\nthe fields of forensic research and biometrical identification. In terms of biometrical identification, it is known that a\r\npair of twins may share various similar traits genetically. Forensic evidence can be easily obtained from handwriting\r\nsamples. Therefore, in order to achieve reliable and accurate identification based on handwriting, it is important for\r\nthe similarities in the writing traits of a pair of twins to be differentiated. In identifying an individual, handwriting\r\nstyle can be analyzed to allow the implicit representation of the unique hidden features of the individual�s\r\nhandwriting. Said unique features can help in identifying the writer of the text which can be essential when\r\nidentifying the writer between a pair of twins. Previous studies in authorship identification were highly\r\nconcentrated in the study of the classification task as well as features extraction. However, the issue of the\r\nsimilarities in the traits of a pair of twins� handwriting were not taken into account thus, leaving a high possibility\r\nof degrading the performance of the classification process. Therefore, in order to achieve better input for the\r\nclassification task, this article will discuss an additional process which can better represent an individual�s personal\r\nfeatures through the transformation of the similarities via discretization protocol. The additional process can help\r\nimprove the level of identification for Individuality of Handwriting of a pair of twins.
Loading....