Geometric Morphometric and Pattern Discrimination of Handwritten Numeral Characters Based on Local Ethnicities and Native Linguistic Disparities in Malaysia for Forensic Applications

Authors

  • Wan Nurul Syafawani Wan Mohd Taufek Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
  • Helmi Mohd Hadi Pritam Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
  • Nur Syuhaila Mat Desa Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
  • Dzulkiflee Ismail Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia
  • Naji Arafat Mahat ᵇDepartment of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia ᶜInvestigative and Forensic Sciences Research Group, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia ᵈCentre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia ᵉCentre of Research for Fiqh Forensics and Judiciary, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.11113/mjfas.v20n5.3639

Keywords:

Forensic science, numeral handwriting, geometric morphometric, landmark-based analysis, forensic document examination.

Abstract

Handwriting can be influenced by factors like culture and native language disparities; however, the specific research to discriminate handwritten numeral characters for forensic questioned document investigation involving the diverse ethnicities (Malay, Chinese and Indian) in Malaysian population remains unreported. Despite its application in forensic anthropology, utilization of the landmark based analysis using the Geometric Morphometric (GMM) technique for examining handwritten numeral character specimens appears sparse. Therefore, this present research that attempted to discriminate ethnicities background of 390 consenting adult participants in Malaysia based on the handwritten numeral characters (0-9) using GMM technique, merits forensic and scientific considerations. Results revealed that while there were universal ones, ethnic-specific handwritten numeral characters that may possibly be influenced by culture and native language (Malay, Chinese and Tamil languages) also prevailed. Significant differences (p < 0.0001) in ethnic-specific characters for the Malay, Chinese and Indian participants who attended the different national primary school settings in Malaysia were also observed. In conclusion, the discrimination of handwritten numeral characters for forensic examination of questioned documents among Malay, Chinese and Indian authors for the development of forensic intelligence is empirically supported.

References

Sahani, P. (2021). Distribution of various factors affecting handwriting among North and North-Eastern population groups of India. International Journal of Scientific Research, 10(1), 1–3.

Saini, M., & Kapoor, A. K. (2018). The comparative influence of culture and schooling environment on handwriting features. Arab Journal of Forensic Sciences & Forensic Medicine, 1(7), 842–58.

Gannetion, L., Wong, K. Y., Lim, P. Y., Chang, K. H., & Abdullah, A. F. L. (2022). An exploratory study on the handwritten allographic features of multi-ethnic population with different educational backgrounds. PLOS ONE, 17(10).

Ramaiah, C., Porwal, U., & Govindaraju, V. (2012). Accent detection in handwriting based on writing styles. In Proceedings – 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 (pp. 312–6).

Tyagi, N. (2018). Qualitative analysis of class characteristics of individuals belonging to Northern India of handwriting samples written in Devanagari script. Journal of Forensic Sciences & Criminal Investigation, 9(3), 1–5.

Turner, I. J., Sidhu, R. K., & Love, J. M. (2008). A preliminary study investigating class characteristics in the Gurmukhi handwriting of 1st and 2nd generation Punjabis. Science and Justice, 48(3), 126–32.

Cheng, N., Lee, G. K., Yap, B. S., Lee, L. T., Tan, S. K., & Tan, K. P. (2005). Investigation of class characteristics in English handwriting of the three main racial groups: Chinese, Malay, and Indian in Singapore. Journal of Forensic Sciences, 50(1), 1–8.

Harne, P., Mishra, M. K., & Sodhi, G. S. (2018). Analysis of handwriting characteristics based on diverse ethnic distribution. International Journal of Advanced Trends in Computer Application, 5(2), 1–6.

Zhang, B., Srihari, S. N., & Lee, S. (2003). Individuality of handwritten characters. In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR) (pp. 1086–90).

Marquis, R., Bozza, S., Schmittbuhl, M., & Taroni, F. (2011). Handwriting evidence evaluation based on the shape of characters: Application of multivariate likelihood ratios. Journal of Forensic Sciences, 256(SUPPL. 1), 238–42.

Johnson, A., Singh, S., Thomas, A., & Chauhan, N. (2021). Geometric morphometric analysis for sex determination using lateral cephalograms in Indian population: A preliminary study. Journal of Oral and Maxillofacial Pathology, 25(2), 364–7.

Viacava, P., Blomberg, S. P., & Weisbecker, V. (2023). The relative performance of geometric morphometrics and linear-based methods in the taxonomic resolution of a mammalian species complex. Ecology and Evolution, 13(3).

Hakimie, N. (2020). Classification of individuals using handwritten numeral with geometric morphometric techniques (MSc. thesis). Universiti Sains Malaysia.

Taufek, W. N. S. W. M., Pritam, H. M. H., Desa, W. N. S. M., & Ismail, D. (2023). Identification of writers’ ethnicity using handwritten numeral characters in combination with novel geometric morphometric (GMM) technique. AIP Conference Proceedings, 2896(1).

Manacorda, C. A., & Asurmendi, S. (2018). Arabidopsis phenotyping through geometric morphometrics. Gigascience, 7(7), 1–20.

Adams, D. C., Rohlf, F. J., & Slice, D. E. (2004). Geometric morphometrics: Ten years of progress following the ‘revolution’. Italian Journal of Zoology, 71(1), 5–16.

Taufek, W. N. S. W. M., Pritam, H. M. H., Desa, W. N. S. M., & Ismail, D. (2024). Evaluation of geometric morphometric approach for ethnicities discrimination using handwritten numeral characters. Jurnal Teknologi, 86(4), 139–150.

Viscosi, V., & Cardini, A. (2011). Leaf morphology, taxonomy, and geometric morphometrics: A simplified protocol for beginners. PLOS ONE, 6(10).

Klingenberg, C. P., Barluenga, M., & Meyer, A. (2007). Shape analysis of symmetric structures: Quantifying variation among individuals and asymmetry. Evolution, 56(10), 1909–1920.

Sanfilippo, P. G., Hewitt, A. W., Mountain, J. A., & Mackey, D. A. (2013). A geometric morphometric assessment of hand shape and comparison to the 2D:4D digit ratio as a marker of sexual dimorphism. Twin Research and Human Genetics, 16(2), 590–600.

Medrano, M. G. T., & Jumawan, J. C. (2016). Landmark-based geometric morphometric analysis of body shape variation within population of Ibis fish, Ambassis interrupta, collected from Masao River, Butuan City, Philippines. International Journal of Advances in Chemical Engineering and Biological Sciences, 3(2).

Dalton, H. A., Wood, B. J., Widowski, T. M., Guerin, M. T., & Torrey, S. (2017). An analysis of beak shape variation in two ages of domestic turkeys (Meleagris gallopavo) using landmark-based geometric morphometrics. PLOS ONE, 12(9), 1–25.

Nelson, E., Hall, J., Randolph-Quinney, P., & Sinclair, A. (2017). Beyond size: The potential of a geometric morphometric analysis of shape and form for the assessment of sex in hand stencils in rock art. Journal of Archaeological Science, 78, 202–213.

Von Cramon-Taubadel, N., Frazier, B. C., & Lahr, M. M. (2007). The problem of assessing landmark error in geometric morphometrics: Theory, methods, and modifications. American Journal of Physical Anthropology, 134(1), 24–35.

Sauer, F. G., Jaworski, L., Erdbeer, L., Heitmann, A., Schmidt-Chanasit, J., & Kiel, E. (2020). Geometric morphometric wing analysis represents a robust tool to identify female mosquitoes (Diptera: Culicidae) in Germany. Scientific Reports, 10(1).

Woon, C. K., Abu Jamal, N. A., Ilmi Mohd Nooi, M. N., Abdullah, S. M., Ibrahim, N. M., & Norman, N. H. (2019). Erratum: Geometric morphometric analysis of malocclusion on lateral cephalograms in Malaysian population. Anatomy & Cell Biology, 52, 397–405.

Shin, J. Y., Alias, A., Chung, E., Ng, W. L., Wu, Y. S., & Gan, Q. F. (2021). Identification of race: A three-dimensional geometric morphometric and conventional analysis of human fourth cervical vertebrae in adult Malaysian population. Journal of Clinical and Health Sciences, 6(1), 17.

Johnson, M. E., Vastrick, T. W., Boulanger, M., & Schuetzner, E. (2017). Measuring the frequency occurrence of handwriting and handprinting characteristics. Journal of Forensic Science, 62(1), 142–63.

Nag, S., Shivakumara, P., Wu, Y., Pal, U., & Lu, T. (2018). New COLD feature based handwriting analysis for ethnicity/nationality identification. In Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 523–527).

Foorman, B. R., & Petscher, Y. (2018). Decomposing the variance in reading comprehension to reveal the unique and common effects of language and decoding. Journal of Visualized Experiments, 11(140).

Zhu, W. (2016). Opinion P < 0.05, < 0.01, < 0.001, < 0.0001, < 0.00001, < 0.000001, or ... Journal of Sport and Health Science, 5(1), 77–9.

Bai, R., Hu, G., & Gu, P. Y. (2013). The relationship between use of writing strategies and English proficiency in Singapore primary schools. The Asia Pacific Education Researcher, 23, 355–365.

Baharuddin, S. A., & Noor, M. M. (2006). Multiculturalism in Malaysia: The need for local knowledge to grapple with identity and ethnicity. Demokrasi, 2, 187–204.

Winskel, H. (2020). Learning to read in multilingual Malaysia: A focus on Bahasa Melayu, Tamil, and Chinese. GEMA Online Journal of Language Studies, 20(1), 1–15.

Klingenberg, C. P. (2013). Visualizations in geometric morphometrics: How to read and how to make graphs showing shape changes. Hystrix, 24(1), 15–24.

Harralson, H. H., & Miller, L. S. (2018). Huber and Headrick’s handwriting identification: Facts and fundamentals (2nd ed.). New York, NY: CRC Press.

Morris, R. (2020). Forensic handwriting identification (2nd ed.). United Kingdom: Academic Press.

Stewart, L. F. (2017). The process of forensic handwriting examinations. Forensic Research & Criminology International Journal, 4(5), 139–41.

Downloads

Published

15-10-2024