RELATIONSHIP OF NASAL DIMENSIONS AND THUMBPRINT AMONG STUDENTS OF DELTA STATE UNIVERSITY, ABRAKA


RELATIONSHIP OF NASAL DIMENSIONS AND THUMBPRINT AMONG STUDENTS OF DELTA STATE UNIVERSITY, ABRAKA


Agatovure Ohwojero Suresha

aDelta State University Abraka.


American Journal of Anatomy and Physiology 2D

The estimation of individual variation using demographic features has long been considered as a useful marker within the domain of biological anthropology. The purpose of the study was to determine the relationship of nasal dimensions with thumbprint ridge counts among students of Delta State University, Abraka. The study investigated a total of three hundred and eighty – four (384) subjects. Data from this study was analyzed with the aid of statistical package for social sciences (SPSS, version 21.0). Student T-test was used in testing the significance difference between mean of males and females. The results shows that females have higher ulner ridge on right thumb, Males have higher arch, Whorl ridge in the right thumb and also Males have higher Ulner, arch, whorl ridge on the left thumb. The study therefore concludes that sexual dimorphism exists among studied parameters.


Keywords: Nasal Dimensions, Thumbprint, Students

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How to cite this article:
Agatovure Ohwojero Suresh. RELATIONSHIP OF NASAL DIMENSIONS AND THUMBPRINT AMONG STUDENTS OF DELTA STATE UNIVERSITY, ABRAKA. American Journal of Anatomy and Physiology, 2020, 3:10


References:

1. Adra, C. N., Donato, J. L., Badovinac, R., Syed, F., Kheraj, R., Cai, H., Moran,C., Kolker, M. T., Turner, H., Weremowicz, S., Shirakawa, T., Morton, C. C., Schnipper, L. E. and Drews, R. (2001). SMARCAD1, a novel human Helicase family-defining member associated with genetic instability: cloning, expression, and mapping to 4q22-q23, a band rich in breakpoints and deletion mutants involved in several human diseases. Genomics. 69(2):162-173.
2. Adamu, L.H., Ojo, S.A., Danborno, B. and Adebisi, S.S. (2016). The potentialof thumbprint profiles in prediction of body mass index among Hausa ethnic group of Nigeria. Bayero Journal of Biomedical Science. 1(1):67-77.
3. Albert, A. M., Ricanek, K. and Patterson, E. (2007). A review of the literatureon the aging adult skull and face: implications for forensic science research and applications. Forensic Science International. 172(3):1-9.
4. Albert, M. Sethuram, A. and Ricanek, K. (2011). Implications of adult facial ageing on biometrics, biometrics – unique and diverse applications in nature, science, and technology. Journal of Medicine. 22(2):120-126.
5. Ashbaugh, D. R. (1999). Poroscopy and edgeoscopy. In: quantitative-qualitative friction ridge analysis: an introduction to basic and advanced ridgeology. Journal of Medicine. 11(3):149-63.
6. Babler W. J. (1991). Embryologic development of epidermal ridges and their configurations. BirthDefects. 27(3):95-112.
7. Bishara, S., Jakobsen, J., Hession, T. and Treder, J. (1998). Soft tissue profile changes from 5 to 45 years of age. American Journal of Orthodontics and Dentofacial Orthopedics. 114(2):698-706.
8. Bonnevie, K. (1932). The mechanics of papillary formation II. Achieve of Developmental Biology. 126(3):348-372.
9. Bossy, J. (1980). Development of olfactory and related structures in staged human embryos. Anatomy and Embryology. 161(4):225-336.
10. Bouchaffra, D. and Amira, A. (2008). Structural hidden markov models for biometrics: fusion of face and fingerprint. Pattern Recognition. 41(3): 852-867.
11. Bravo, L. A., Canut, J. A., Pascual, A. and Bravo, B. (1997). Comparison of the changes in facial profi le after orthodontic treatment, with and without extractions. British Journal of Orthodontics. 24(3):25-34.
12. Coleman, S. and Grover, R. (2006). The anatomy of the aging face: volume loss and changes in 3-dimensional topography. Aesthetic Surgery Journal. 26(2):4-9.
13. Costello, D. (1999). Families: the perfect deception: identical twins, Wall Street J. In Handbook of Fingerprint Recognition; Springer: New York, NY, USA,: 26.
14. Cummins, H. (1929): The topographic history of the volar pads (walking pads: Tastballen) in the human embryo. Journal of Embryology. 113(20):105-126.
15. Cummins, H. and Midlo, C. (1943). Finger prints, palms and soles. Journal of Forensic Science. 2(1):123-127.
16. Cummins, H. and Midlo, C. (1961). Fingerprints palms and soles: an introduction to dermatoglyphics; Dover Publications Inc., New York, NY, USA.
17. Cummins, H., Waits, W. J. and McQuitty, J. T. (1941). The breadths of epidermal ridges on the finger tips and palms: a study of variation. American Journal of Anatomy. 68(2):127-150.
18. Cummins, H., Waits W. J. and McQuitty J. T. (1994). The breadths of epidermal ridges on the finger tips and palms: a study of variations. American Journal of Anatomy, 68(3):123-153.
19. Dell, D. and Munger, B. (1986). The early embryogenesis of the papillary (sweat gland) ridges in primate glabrous skin: the dermatotopic map of cuteneous mechanoreceptors and dermatoglyphics. Journal of Compulsive Neurology. 244(3):511-532.
20. Desai, S., Upadhyay, M. and Nanda, R. (2009). Dynamic smile analysis: changes with age. American Journal of Orthodontics and Dentofacial Orthopedics. 136(310):1-10.
21. Danborno, B. and Idris, G. (2007). Digital dermatoglypics of Hausa ethnic group of Nigeria. Journal of Experimental and Clinical Anatomy. 6(1):36-40.
22. Esperanza, G., Concepcio´n, A., Esther, R. and Virginia, G. (2008). Variabilityof fingerprint ridge density in a sample of Spanish Caucasians and its application to sex determination. Forensic Science International. 180 (2):17-22.
23. Etah, T. (2007). Fingerprints patterns and importance in medicine. Journal ofMedicine and Scientific Study. 5(2):34-39.
24. Fanda, R. (2008). A study on differences of fingerprint ridge density among Brazilians. International Journal of Anthropology. 12(2):543-555.
25. Gibellia, D., Mapellib, A., Obertovàc, Z., Poppa P., Gabrielc, P., Ratnayake, M., Tutkuviene, J. Sforza, C., Ritz-Timme, S. and Cattaneo, C. (2012). Age changes of facial measurements in European young adult males: implications for the identification of the living. Journal of Comparative Human Biology. 63(2):451-458.
26. Gutie´rrez-Redomero, E., Galera, V., Martı´nez, J. M. and Alonso, C. (2007). Biological variability of the minutiae in the fingerprints of a sample of the Spanish population. Forensic Science International. 172(5):98-105.
27. Hassan, A., Samuel, A.O., Barnabas, D., Sunday, S.A. and Magaji, G.T.(2017). Evaluation of facial proportions and their association with thumbprint patterns among Hausa Ethnic Group. Journal of Anthropology. 10(2):210-215.
28. Hassan, A., Samuel, A.O., Barnabas, D., Sunday, S.A. and Magaji, G.T. (2018). Relationship of orbital dimensions and facial angles with thumbprint ridge count among Hausa group of Nigeria. Journal of Anthropology. 9(3):111-119.
29. Hirsch W. and Schweichel, J. U. (1973). Morphological evidence concerning the problem of skin ridge formation. Journal of Mental Deficiency Research. 17(1):58-72.
30. Hong, Y., Wan, A. and Jain, A. K. (1998). Fingerprint image enhancement:algorithms and performance evaluation. IEEE Transaction on Pattern Analysis and Machine. 20(3):777-789.
31. Igbigbi, P. S., Didia, B. C. and Agantu, I. B. E. (1994): Palmar and digital dermatoglyphics in two ethnic communities in Nigeria. West African Journal of anatomy. 2(2):52-56.
32. Igbigbi, P. S. and Msamati, B. C. (2005). Palmar and digital dermatoglyphictraits of Kenyan and Tanzanian subjects. West African Journal of Medicine. 24(2):26-30.
33. Jain, A. K., Chen, Y. and Demirkus, M. (2007). Pores and ridges: high-resolution fingerprint matching using level 3 features. Journal of Medicine. 29(1):15-27.
34. Jain, A. K., Hong, L. and Bolle, R. (1997). On-line fingerprint verification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 19(4):302-314.
35. Jain, A. Pankanti, K., Prabhakar, S., Hong, S., Ross, L., Wayman, A.,Biometrics, J. L., (2004). A grand challenge. In: Proceedings of the International Conference on Pattern Recognition. 2(2):935-942.
36. Jain, A., Prabhakar, S. and Pankanti, S. (2001). Twin test: on discriminabilityof fingerprints. Book Series Lecture Notes in Computer Science. 2091(2):211-217.
37. Jain, A., Prabhakar, S. and Pankanti, S. (2002). On the similarity of identicaltwin fingerprints. Pattern Recognition. 35(3):2653-2663.
38. Jaja, B. N. and Igbigbi, P. S. (2008). Digital and palmer dermatoglyphic pattern of the Ijaw Southern of Nigerian population. African Journal of Medical Science. 37(1):1-5.
39. Kapoor, N. and Badiye A. (2015). Sex differences in thumbprint ridge density in a central Indian population. Egyptian Journal of Forensic Sciences. 25(3):23‑29.
40. Karmakar, B., Yakovenko, K. and Kobyliansky, E. (2006). Mode ofinheritance of dermatoglyphic pattern intensity index on fingers in five Indian populations: a comparative study between individual trait and its factor. American Journal of Human Biology. 18(4):377-386.
41. Karmakar, B., Yakovenko, K. and Kobyliansky, E. (2007). Qualitative finger and palmar dermatoglyphics: sexual dimorphism in the Chuvashian population of Russia. Anthropologischer Anzeiger. 65(2):383-390.
42. Karmakar, B., Yakovenko, K. and Kobyliansky, E. (2008). Sexual dimorphism in the Chuvashian population of Russia in two types of dermatoglyphic traits: Principal component analysis. Collegium Antropologicum. 32(2): 467-477.
43. Krishan, K., Ghosh, A., Kanchan, T. and Ngangom, C. Sen J. (2010). Sex differences in fingerprint ridge density–causes and further observations. Journal of Forensic Legal Medical. 17(3):172–176.
44. Kim, C. H., Park, H. W. and Kim, K. (2004). Early development of the nose in human embryos: a stereomicroscopic and histologic analysis. Laryngoscope. 114(3):1791-800.
45. Kov´acs-Vajna, Z. M. (2000). A fingerprint verification system based on triangular matching and dynamic time warping. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22 (11):1266-1276.
46. Kucken, M. and Newell, A.C. (2004). A model of fingerprints formation. European Physics Latter. 68(1):141-146.
47. Kucken, M. and Newell, A.C. (2005). Fingerprints formation. Journal ofTheoretical Biology. 235(4):71-83.
48. Lawan H., Hassan, T., and Tobi, G. (2017). Evaluation of facial proportionsand their association with thumbprint patterns among Hausa Ethnic group. International Journal of Forensic Sciences. 12(2):120-126.
49. Lalit, K., Sandeep, A. and Rajesh, G. (2013). Gender determination using fingerprints in the region of Uttarakhand. Journal of Indian Academic Forensic Medicine. 35(4):222-226.
50. Leong, P. L. (2008). Aging changes in the male face. Facial Plastic Surgery Clinics of North America. 16(3):277-279.
51. Lumini, A. and Nanni, L. (2006). Two-class fingerprint matcher. Pattern Recognition. 39(4):714-716.
52. Morohunfola, K., Jones, T. and Munger, B. (1992). The differentiation of the skin and its appendages II. Altered development of papillary ridges following neuralectomy. Anatomical Record. 232(5):599-611.
53. Micle, Y. (2007).Thumbprint patterns and identifications. Journal of Research and Anthropology. 23(3):120-125.
54. Neave, R. (1998). Age changes to the face in adulthood. In: Craniofacial Identification in Forensic Medicine. Clement, J. G. and Ranson, D. L. (Eds). New York: Oxford Press; 3: 225-234.
55. Newham, E. (1995).The Biometric Report. New York: SJB Services.
56. Nishimura, Y. (1993). Embryological study of nasal cavity development in human embryos with reference to congenital nostril atresia. Acta Anatomica (Basel). 147(4):140-144.
57. Ogunranti, O. and Sorgia, S. (1984). Dermatoglyphics study of Southerns Nigerian population of Ogoni people of River State. Nigerian Journal of Genetics. 23(2):12-16.
58. Osumi-Yamashita N. (1996). Retinoic acid and mammalian craniofacial morphogenesis. Journal of Biosciences. 21(3):313-327.
59. Overfield, T. (1995). Biological variation in health and illness: Race, age, andsex differences. Biological Variation in Health and Illness. 2(2):71-72.
60. Oyejide, C. O. (1991). Sample size estimation. Health Research Method for Developing Country Scientist. 4(2):59-63.
61. Özener, B. and Fink, B. (2010). Facial symmetry in young girls and boys from a slum and a control area of Ankara. Turkey Evolution and Human Behavior. 31(2):436-441.
62. Ozkaya, N. and Sagiroglu, S. (2008). Face recognition from fingerprints. Journal of the Faculty of Engineering and Architecture of Gazi University. 23(4):785-794.
63. Pecora, N., Baccetti, T. and McNamara, J. (2008). The aging craniofacialcomplex: A longitudinal cephalometric study from late adolescence to late adulthood, AmericanJournal of Orthodentic and Orthopedics. 134(2):496-505.
64. Racbac, G. (2009). The correlation of orbital dimensions and facial angles withthumbprint ridge count among Koreans. International Journal of Anatomy. 12(3):356-359.
65. Reddy, M., Ahuja, N. K., Raghav, P., Kundu,V. and Mishra V. (2011). Acomputer assisted angular photogrammetric analysis of the soft time facial profile of north Indian adults. Journal of Indian Orthodontic Society. 45(3):119-123.
66. Reddy, B. M., Chopra, V. P., Karmakar, B., Malhotra, K. C. and Mueller, H. (2000). Quantitative dermatoglyphics and population structure in Northwest India. American Journal of Human Biology. 12(2):315-326.
67. Reddy, B. M., Malhotra, K. C., Chakraborty, B., Karmakar, B., Kumar, V. Vasulu, T. S. (1991). Age variation in finger ridge count asymmetry. Journal of Dermatoglyphics. 20(3):167-175.
68. Ritz-Timme, S., Gabriel, P., Tutkuviene, J., Poppa, P., Obertova, Z., Gibelli, D., Angelis, D. and Ratnayake, M. (2011). Metric and morphological assessment of facial features: a study on three European populations. Forensic Science International. 15(7):1-3
69. Roelofse, M.M., Steyn, M. and Becker, P.J. (2008). Photo identification: facialmetrical and morphological features in South African males. Forensic Science International. 20(2):168-175.
70. Sadick, N., Karcher, C. and Palmisano, L. (2009). Cosmetic dermatology of the aging face. Clinics in Dermatology. 27(5):3-12.
71. Sarda, H. (2002). Study of thumbprint patterns in an Indian population. International Journal of Medicine. 3(2):1209-1218.
72. Sagiroglu, S. and Ozkaya, N. (2008). An Intelligent Automatic Face Contour Prediction System, Advances in Artificial Intelligence, The 21 Canadian Conference on Artificial Intelligence (AI 2008), Lecture Notes in Computer Science (LNCS), Springer Berlin/Heidelberg, ISSN: 0302-9743 (Print) 1611-3349 (Online), ISBN 978-3-540-68821-1, Volume: 5032/2008, Pages 246-258, (DOI 10.1007/978-3-540-68825-9 24), 28-30 May 2008, Ontario, Canada.
73. Sagiroglu, S. and Ozkaya, N. (2009a). An intelligent face features generationsystem from fingerprints, Turkish Journal of Electrical Engineering and Computer, 17(2): 183-203. doi: 10.3906/elk-0902-2
74. Sahin, S.A.M. and Gazileri, U. (2001). Analysis of holdaway soft tissue measurement in children between 9 and 12 years of age. European Journal of Orthodontics. 23(2):287-294.
75. Shaw, R. B. Jr., Katzel, E. B., Koltz, P. F., Kahn, D. M., Girotto, J. A. and Langstein, H. N. (2010). Aging of the mandible and its aesthetic implications. Plastic and Reconstructive Surgery. 125(2):332-342.
76. Situm, M., Buljan, M., Cavka, V., Bulat, V., Krolo, I. and Mihić, L. L. (2010).
77. Skin changes in the elderly people-how strong is the influence of the UV radiation on skin aging? Collegium Antropologicum. 34(2):9-13.
78. Som, P. M. and Naidich, T.P. (2013).Illustrated review of the embryology and development of the facial region, Part 1: early face and lateral nasal cavities. American Journal of Neuroradiology.3(2):1-8.
79. Sudikshya, K.C., Niroj, M., Nischita, A.Pragya, S. (2018). Qualitative analysis
80. of primary fingerprint pattern in different blood group and gender in Nepalese. Anatomy Research International. 4(2):3-10.
81. Sveikata, K. Balciuniene, I. and Tutkuviene, J. (2011). Factors influencing face aging. Literature review, Stomatologija. Baltic Dental and Maxillofacial Journal. 13(2):113-115.
82. Taister, M., Holliday, S. and Borman, H. (2000). Comments on facial aging in law enforcement investigation. Forensic Science communication. 20(3):121-124.
83. Teddy, K. and Rama, K. (2008). Fingerprint and face identification for large user population. Journal of Systemic and Information. 3(1):111-115.
84. Uiotto J. (1997). Understanding premature skin aging. New England Journal of Medicine. 337(4):14631465.
85. arbrick, J. G. (1960). The early development of the nasal cavity and upper lip in the human embryo. Journal of Anatomy. 94(2):351-362. West, K. and McNamara, J. (1999). Changes in the craniofacial complex from
86. adolescence to mid adult hood: a cephalometric study. American Journal of Orthodontics and Dentofacial Orthopedics. 115(6):521-532.
87. Youssif, A. A. A., Chowdhury, M. U., Ray, S. and Nafaa H. Y. (2007). Fingerprint recognition system using hybrid matching techniques, 6th IEEE/ACIS International Conference on Computer and Information Science, 0-7695- 2841-4/07.
88. Zhuang, Z., Landsitte, D., Benson, S., Roberge, R. and Shaffer, R. (2010). Facial anthropometric differences among gender, ethnicity, and age groups. Annals of Occupational Hygiene. 54(3):391‑402.
89. Zimbler, M., Kokosa, M. and Thomas, J. (2001). Anatomy and pathophysiology of facial aging. Facial Plastic Surgery Clinics of North America. 9(2):179-187.