Abstract

In the field of criminal justice, any testimony, no matter how minor or trivial, cannot be ignored, as supplementary evidence has always turned the case around. A common form of evidence documentary proof. Document exhibits come in a number of formats and can be handwritten, digital, or printed. Handwriting may be used as a starting point for attempting to identify uniqueness. Different people have different writing patterns, which is a natural act. Even if the person deliberately wants to alter,certain characteristics are peculiar to a single person. On the basis of class and individual characters, an attempt was made to differentiate between male and female handwriting. In a case where the investigation involves handwriting, this can be a valuable piece of supplementary evidence. It can also be used to exclude possible suspects. With the writers using the same writing instrument and surface, over 200 samples were analyzed based on 6 parameters, and many of them yielded positive results in deciding whether the writers were male or female. The observation can be used as a first step in the field of Graphology in terms of gender identity.

• 1.   Tripathi D, Kumar S, Kumar M. Comparative study of handwriting based on skill level of Hindi and English medium writers. Int J All Res Educ Sci Methods. 2020;8(6):1-4.
• 2.   Sahu M, Yadav A, Rao IA. Examination of handwriting for gender identifying features. Int J Curr Res. 2014;6(9):10-6.
• 3.   Harrison D, Burkes TM, Seiger D. Handwriting examination: meeting the challenges of science and the law. Forensic Sci Commun [Internet]. 2009 [cited 2026 Jan 21];11(4).
• 4.   Kumar S, Sran V, Vaid BA, Gupta AK. Handwriting and gender: a statistical study. Probl Forensic Sci. 2013;95:620-6.
• 5.   Kamath V, Swami NR, Manjunath G. Development of an automated handwriting analysis system. ARPN J Eng Appl Sci. 2011;6(9):1-7.
• 6.   Nazir SB, Shabaz M. SSGBSAT - a novel approach to perform sentimental analysis using graphology. Int J Innov Technol Explor Eng. 2019;8(6S4):10-15.
• 7.   Luria G, Rosenblum S. A computerized multidimensional measurement of mental workload via handwriting analysis. Behav Res Methods. 2012;44(2):575-86.
• 8.   Gawda MR, Rao M, Gowda M, et al. Handprints of the mind: decoding personality traits and handwritings. Indian J Psychol Med. 2015;37(4):407-13.
• 9.   Ikegami K, Ohsawa Y. Model of creative thinking process on analysis of handwriting by digital pen. Open J Inf Syst. 2015;2(2):27-39.
• 10.   Dang S, Kumar M. Handwriting analysis of human behavior based on neural network. Int J Adv Res Comput Sci Softw Eng. 2014;4(9):1-6.