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Research Article
Experimental Analysis of Toe Print Class
Distribution in Caucasian and Lepers -
Obaje Samuel Enemakwu*
Department of Computer Engineering, Federal Polytechnic, Offa, Nigeria
*Address for Correspondence: Obaje Samuel Enemakwu, Department of Computer Engineering, Federal
Polytechnic, Offa, Nigeria, Tel: +234-080-358-596-39; 234-080-785-643-34; ORCiD: https://orcid.org/0000-0003-
1611-5809; E-mail: samuelobaje99@gmail.com; obajese@yahoo.com
Submitted: 03 December 2019; Approved: 18 December 2019; Published: 20 December 2019
Cite this article: Enemakwu OS. Experimental Analysis of Toe Print Class Distribution in Caucasian and Lepers
. American J Biom Biostat. 2019;3(1): 009-012.
Copyright: © 2019 Enemakwu OS. This is an open access article distributed under the Creative
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
American Journal of
Biometrics & Biostatistics
American Journal of Biometrics & Biostatistics
SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 010
INTRODUCTION
Popular techniques toe printing is the process of obtaining, for
identification purposes, an impression of the papillar ridge of the
toes. Although previous literatures have not really gone into the study
of the toe print, it is evident that the toe, just like the fingers, has a
ridge that could be studied [1-3].
The first extensive collection of fingerprint records was probably
made at the end of the 19th
century by Sir Francis Galton, an English
scientist studying heredity [2-4]. After extended investigation, he
concluded that the two basic facts on which fingerprint identification
rests were one, that the ridge arrangement on each finger of each
person was different, and two, that the ridge arrangement remained
constant throughout one’s life. These facts could have been traced
back to other findings in the past, but they could not have come out
with such a very solid conclusion. The toes by observation also have
similar characteristics to the fingerprint, so that they can also be used
for personal identification. The classification of the toe print is as
shown in the (Figure 1).
The fingers can be identified by the name of the position, for
example, the smallest and thickest finger that stands apart from the
other four is called the thumb, followed by the index, then the middle
finger, the ring, and finally the small finger.
The FBI (USA) has White fingerprint distribution databases on
the internet. The distribution shows the information by percentage of
the three main classes of fingerprints according to the categories. This
will allow for an undebt fingerprint analysis and will also increase
the speed of the storage/retrieval process for the bulky fingerprint
database [7].
The percentage was found to be constant for any random selection
of the fingerprint depending on any place or position in the United
States. What I mean is that, if a particular state is to be examined, the
percentage of the test will be identical to any other state in the same
USA for Caucasian fingerprint pictures [8,9].
The distribution of fingerprints of Caucasian as reported by the
FBI (USA) indicates that loops are 65.5 percent that is left loop 33.8
percent and right loop 31.7 percent (no double loop records available
to me), whorl is 27.9 per cent, and arches are 6.6 percent, that is 3.7
percent for arches and 2.9 percent for arches (Table 1).
This percentage relationship has been observed to be stable for
more than a decade now. For this purpose, if fingerprint images
are obtained in mass within a locality, it is appropriate to make the
distribution of proper records, and more so, to compare them with
the regular FBI (USA) records, so that the analysis may be complete.
This report is an analysis of the distribution of toe print data collected
during the research sponsored by TET Fund.
PROBLEM STATEMENT
Available biometric modes do have problems due to racial
considerations, lack of availability of databases in Africa. As it was,
the toe print has little or no database available online for researchers
to study with. The existing biometric mode, such as fingerprint, has
an online database available for research and study purposes. Such
systems are distinguished by population distribution, category
identification, etc. When we do toe print coverage, it is important
to expand the study beyond data collection alone, and therefore
classification and distribution is necessary. It is important to compare
the distribution thus acquired with the current distribution on a
similar subject, fingerprint, for clarification.
Toe print data acquisition employed
The process used in the acquisition of toe print data is the ink-
ABSTRACT
Toe print could suffice for the fingerprint for leprosy victims that do not have good fingerprints to identify them or vote with. Classification
of the toe print or fingerprint into various categories is necessary to reduce the overall matching time to a minimal level. 1183 good toe
prints were collected from 140 individual lepers from 9 colonies. The 140 individual toe prints were supposed to be actually 1400, but due
to the bad toes on some individual lepers, the amount became what it we have now (1183). The toe prints were scanned at a 600 dpi
resolution and saved using the Bitmap image compression algorithm for the experiment. The images were opened one after the other on a
21-inch screen for classification using the fingerprint classification description as a working formula. On the toe prints were found: double
loop, left loop, right loop, whorl, arch and tented, just like that found on fingerprint. The Lepers toe print loop population is 63.5%, and is the
highest in population, followed by whorls with population of 21.3%, the lepers arch was 10.8% and the tented arch is 4.4%, arch’s group
is the least. Toe print has features like the fingerprint that can be used for personal identification of an individual.
Keywords: Leprosy; Purdah; Arch; Tented arch; Classification; Toe print
Arch Tented arch L loop Right loop Double loop Whorl
Figure 1: Sample toe print classification [5-6].
American Journal of Biometrics & Biostatistics
SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 011
dabbed method. In this case, all the toes whose prints are to be taken
would be pressed against the stained surface of the plate at the same
time. The stained toes are then dabbed to the space created for it
within the card template that has already been designed as shown in
the figure 2. The toe print is better taken with the individual seated on
the chair, while the “personnel” should be squatting in front of him
and the rolled platen placed on the floor in front of him. A towel must
be used to wash the palm before the staining is finished. Figure 3 is a
picture taken during one of our toe capturing sessions.
Toe print class distribution analysis: 1183 successful toe prints
were obtained for the study from 140 individual lepers from 9
colonies. In fact, the (10%) individual toe prints were supposed to
be (100%), but because of the bad toes on some individual lepers, the
number became what we have now 92%). 35 large toes among the
data collected were found to be in bad condition, apart from 25 index
toes, 10 middle toes and 17 fourth toes (Table 2).
COMPARISONOFCAUCASIANFINGERPRINT
DISTRIBUTION AND THE LEPERS
Toe Print Distribution
The Caucasian fingerprint distribution as found on the FBI
(USA) website was downloaded and compared to the lepers toe print
distribution. The reason for the comparison is to prove the earlier
suggestion that toe prints can conveniently replace fingerprints for
voting purposes in those who do not have fingerprints. The Caucasian
fingerprint loop population is roughly 65.5 percent and the Lepers
toe print loop population is 73.5 percent. Whorls population is 27.9
percent Caucasian fingerprint and 10.8 percent, second in population
of lepers toe print. The tent arch is 2.9 percent for the Caucasian
fingerprint and 6.33 percent for the Lepers toe print, the lowest
in both distributions. Arch is (9.3 percent) for the leper toe print
and (3.7 percent) for the Caucasian fingerprint. The percentage by
comparison of Caucasian (USA) fingerprint distribution and lepers
toe print distribution (9 colonies in Nigeria) were shows in (Table 3).
Figure 4-6 shows that toe print can be used incase of people that
does not have fingerprint . the experimental analysis from the graphs
shows that the percentage error left loop is 2.4% while the accuracy
is 97.6%, percentage error for right loop is 0.4% while the accuracy is
99.6%, percentage error for double loop is 5.2% while the accuracy
is 94.6%, percentage error for whorl is 17.1% while the accuracy is
82.9%, percentage error for Arch is 5.6% while the accuracy is 94.1%
and percentage error for Tented arch is 3.4% while the accuracy is
96.6%.
CONCLUSION
By observation, population distribution for both the Caucasian
fingerprint (USA) and the Lepers toe print (9 Leprosy Colonies in
Table 1: Percentage fingerprint distribution of Caucasian (USA).
Percentage fingerprint distribution of Caucasian (USA)
Class Percentage%
Left loop 33.8
Right loop 31.7
Whorl 27.9
Arch 3.7
Tented arch 2.9
“Personnel”
Platen
Individual
Figure 3: Toe print Capture process.
Table 2: Toe print distribution
Lepers toe print distribution
Class Number
Left loop 428
Right loop 380
Double loop 62
Whorl 128
Arch 110
Tented arch 75
Nigeria) tends to follow the same trend. In other words, correlations
between Caucasian fingerprints and lepers are the highest in the
population and tend to form 2/3 of all databases collected. The whorl
is second in population; the third is the arch, while the tent arch is
the smallest. All groups of fingerprints and minutiae points used by
Figure 2: Toe print card template.
Table 3: Percentage by comparison of Caucasian (USA) fingerprint distribution
and lepers toe print distribution (9 Colonies in Nigeria)
Class Caucasian% Lepers%
Left loop 33.8 36.2
Right loop 31.7 32.13
Double loop Not revealed 5.24
Whorl 27.9 10.8
Arch 3.7 9.3
Tented arch 2.9 6.33
American Journal of Biometrics & Biostatistics
SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 012
Left loop Right loopDouble loop Whorl Arch Tented arch
50
100
150
200
250
300
350
400
450
Number
Class
Number
Lepers Toe print Distribution
Figure 4: Toe print chart.
Left loop Right loopDouble loop Whorl Arch Tented arch
5
10
15
20
25
30
35
40
LEPERS%
CLASS
LEPERS%
The Lepers Toe print Distribution
Figure 5: The lepers toe print distribution plot.
REFERENCES
1. Ajibade LS, Jimoh IA. Introduction to computer graphics, artificial intelligence
and expert systems depet and co, mokola-ibadan. 2016; 1: 33.
2. Collins, Battley H. Single fingerprints, Hm stationary office London. 2012.
3. Clarence G. Fingerprint science: How to roll, classify, and use fingerprints,
Ed. By Gerald D. Hunt, Custom. 2015.
4. Lawrence R, Thebaud. Systems and methods with identity verification by
comparison and interpretation of skin patterns such as fingerprints. US Patent
5, 909, 501. 2018.
5. Obaje SE, Ibiyemi TS. Development of fingerprint database and analysis.
Department of electrical, university of Ilorin. 2003.
6. Obaje SE, Ibiyemi TS. Automatic fingerprint and toe print recognition for
personal identification and forensic application. Final report, department of
electrical & electronics engineering, University of Ilorin. 2010.
7. Obaje SE. Lepers personal identification using the soleprint in place of
fingerprint. Proceedings of the 3rd
International Conference on Electronics
and Computer Technology. Kanyakumari. India. 2011; 3: 471-474. http://bit.
ly/2rOH5Ao
8. Gaensslen RE, Peter R, Deforest, Henry C Lee. Forensic science, an
introduction to criminalistics. McGrawHill, New York. 2013.
9. Maio D, Maltoni R. Cappelli JL, Wayman, AK Jain. FVC2000: Fingerprint
verification competition. Proc. 15th
International Conference Pattern
Recognition. Barcelona. 2000. http://bit.ly/2PZVKAr
Left loop Right loopDouble loop Whorl Arch Tented arch
0
5
10
15
20
25
30
35
40
%
CLASS
LEPERS%
CAUCASIAN %
Figure 6: Comparison of Caucasian fingerprint and lepers toe print
percentage.
expert systems for the classification and recognition of objects are
included in the toe print. With this in mind, we would like to conclude
that the fingerprint can be conveniently replaced by a toe print for
people (lepers and accident victims who have no fingerprints) who
do not have a fingerprint as a means of personal identification and, in
particular, for voting purposes.

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Experimental Analysis of Toe Print Class Distribution in Caucasian and Lepers

  • 1. Research Article Experimental Analysis of Toe Print Class Distribution in Caucasian and Lepers - Obaje Samuel Enemakwu* Department of Computer Engineering, Federal Polytechnic, Offa, Nigeria *Address for Correspondence: Obaje Samuel Enemakwu, Department of Computer Engineering, Federal Polytechnic, Offa, Nigeria, Tel: +234-080-358-596-39; 234-080-785-643-34; ORCiD: https://orcid.org/0000-0003- 1611-5809; E-mail: samuelobaje99@gmail.com; obajese@yahoo.com Submitted: 03 December 2019; Approved: 18 December 2019; Published: 20 December 2019 Cite this article: Enemakwu OS. Experimental Analysis of Toe Print Class Distribution in Caucasian and Lepers . American J Biom Biostat. 2019;3(1): 009-012. Copyright: © 2019 Enemakwu OS. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. American Journal of Biometrics & Biostatistics
  • 2. American Journal of Biometrics & Biostatistics SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 010 INTRODUCTION Popular techniques toe printing is the process of obtaining, for identification purposes, an impression of the papillar ridge of the toes. Although previous literatures have not really gone into the study of the toe print, it is evident that the toe, just like the fingers, has a ridge that could be studied [1-3]. The first extensive collection of fingerprint records was probably made at the end of the 19th century by Sir Francis Galton, an English scientist studying heredity [2-4]. After extended investigation, he concluded that the two basic facts on which fingerprint identification rests were one, that the ridge arrangement on each finger of each person was different, and two, that the ridge arrangement remained constant throughout one’s life. These facts could have been traced back to other findings in the past, but they could not have come out with such a very solid conclusion. The toes by observation also have similar characteristics to the fingerprint, so that they can also be used for personal identification. The classification of the toe print is as shown in the (Figure 1). The fingers can be identified by the name of the position, for example, the smallest and thickest finger that stands apart from the other four is called the thumb, followed by the index, then the middle finger, the ring, and finally the small finger. The FBI (USA) has White fingerprint distribution databases on the internet. The distribution shows the information by percentage of the three main classes of fingerprints according to the categories. This will allow for an undebt fingerprint analysis and will also increase the speed of the storage/retrieval process for the bulky fingerprint database [7]. The percentage was found to be constant for any random selection of the fingerprint depending on any place or position in the United States. What I mean is that, if a particular state is to be examined, the percentage of the test will be identical to any other state in the same USA for Caucasian fingerprint pictures [8,9]. The distribution of fingerprints of Caucasian as reported by the FBI (USA) indicates that loops are 65.5 percent that is left loop 33.8 percent and right loop 31.7 percent (no double loop records available to me), whorl is 27.9 per cent, and arches are 6.6 percent, that is 3.7 percent for arches and 2.9 percent for arches (Table 1). This percentage relationship has been observed to be stable for more than a decade now. For this purpose, if fingerprint images are obtained in mass within a locality, it is appropriate to make the distribution of proper records, and more so, to compare them with the regular FBI (USA) records, so that the analysis may be complete. This report is an analysis of the distribution of toe print data collected during the research sponsored by TET Fund. PROBLEM STATEMENT Available biometric modes do have problems due to racial considerations, lack of availability of databases in Africa. As it was, the toe print has little or no database available online for researchers to study with. The existing biometric mode, such as fingerprint, has an online database available for research and study purposes. Such systems are distinguished by population distribution, category identification, etc. When we do toe print coverage, it is important to expand the study beyond data collection alone, and therefore classification and distribution is necessary. It is important to compare the distribution thus acquired with the current distribution on a similar subject, fingerprint, for clarification. Toe print data acquisition employed The process used in the acquisition of toe print data is the ink- ABSTRACT Toe print could suffice for the fingerprint for leprosy victims that do not have good fingerprints to identify them or vote with. Classification of the toe print or fingerprint into various categories is necessary to reduce the overall matching time to a minimal level. 1183 good toe prints were collected from 140 individual lepers from 9 colonies. The 140 individual toe prints were supposed to be actually 1400, but due to the bad toes on some individual lepers, the amount became what it we have now (1183). The toe prints were scanned at a 600 dpi resolution and saved using the Bitmap image compression algorithm for the experiment. The images were opened one after the other on a 21-inch screen for classification using the fingerprint classification description as a working formula. On the toe prints were found: double loop, left loop, right loop, whorl, arch and tented, just like that found on fingerprint. The Lepers toe print loop population is 63.5%, and is the highest in population, followed by whorls with population of 21.3%, the lepers arch was 10.8% and the tented arch is 4.4%, arch’s group is the least. Toe print has features like the fingerprint that can be used for personal identification of an individual. Keywords: Leprosy; Purdah; Arch; Tented arch; Classification; Toe print Arch Tented arch L loop Right loop Double loop Whorl Figure 1: Sample toe print classification [5-6].
  • 3. American Journal of Biometrics & Biostatistics SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 011 dabbed method. In this case, all the toes whose prints are to be taken would be pressed against the stained surface of the plate at the same time. The stained toes are then dabbed to the space created for it within the card template that has already been designed as shown in the figure 2. The toe print is better taken with the individual seated on the chair, while the “personnel” should be squatting in front of him and the rolled platen placed on the floor in front of him. A towel must be used to wash the palm before the staining is finished. Figure 3 is a picture taken during one of our toe capturing sessions. Toe print class distribution analysis: 1183 successful toe prints were obtained for the study from 140 individual lepers from 9 colonies. In fact, the (10%) individual toe prints were supposed to be (100%), but because of the bad toes on some individual lepers, the number became what we have now 92%). 35 large toes among the data collected were found to be in bad condition, apart from 25 index toes, 10 middle toes and 17 fourth toes (Table 2). COMPARISONOFCAUCASIANFINGERPRINT DISTRIBUTION AND THE LEPERS Toe Print Distribution The Caucasian fingerprint distribution as found on the FBI (USA) website was downloaded and compared to the lepers toe print distribution. The reason for the comparison is to prove the earlier suggestion that toe prints can conveniently replace fingerprints for voting purposes in those who do not have fingerprints. The Caucasian fingerprint loop population is roughly 65.5 percent and the Lepers toe print loop population is 73.5 percent. Whorls population is 27.9 percent Caucasian fingerprint and 10.8 percent, second in population of lepers toe print. The tent arch is 2.9 percent for the Caucasian fingerprint and 6.33 percent for the Lepers toe print, the lowest in both distributions. Arch is (9.3 percent) for the leper toe print and (3.7 percent) for the Caucasian fingerprint. The percentage by comparison of Caucasian (USA) fingerprint distribution and lepers toe print distribution (9 colonies in Nigeria) were shows in (Table 3). Figure 4-6 shows that toe print can be used incase of people that does not have fingerprint . the experimental analysis from the graphs shows that the percentage error left loop is 2.4% while the accuracy is 97.6%, percentage error for right loop is 0.4% while the accuracy is 99.6%, percentage error for double loop is 5.2% while the accuracy is 94.6%, percentage error for whorl is 17.1% while the accuracy is 82.9%, percentage error for Arch is 5.6% while the accuracy is 94.1% and percentage error for Tented arch is 3.4% while the accuracy is 96.6%. CONCLUSION By observation, population distribution for both the Caucasian fingerprint (USA) and the Lepers toe print (9 Leprosy Colonies in Table 1: Percentage fingerprint distribution of Caucasian (USA). Percentage fingerprint distribution of Caucasian (USA) Class Percentage% Left loop 33.8 Right loop 31.7 Whorl 27.9 Arch 3.7 Tented arch 2.9 “Personnel” Platen Individual Figure 3: Toe print Capture process. Table 2: Toe print distribution Lepers toe print distribution Class Number Left loop 428 Right loop 380 Double loop 62 Whorl 128 Arch 110 Tented arch 75 Nigeria) tends to follow the same trend. In other words, correlations between Caucasian fingerprints and lepers are the highest in the population and tend to form 2/3 of all databases collected. The whorl is second in population; the third is the arch, while the tent arch is the smallest. All groups of fingerprints and minutiae points used by Figure 2: Toe print card template. Table 3: Percentage by comparison of Caucasian (USA) fingerprint distribution and lepers toe print distribution (9 Colonies in Nigeria) Class Caucasian% Lepers% Left loop 33.8 36.2 Right loop 31.7 32.13 Double loop Not revealed 5.24 Whorl 27.9 10.8 Arch 3.7 9.3 Tented arch 2.9 6.33
  • 4. American Journal of Biometrics & Biostatistics SCIRES Literature - Volume 3 Issue 1 - www.scireslit.com Page - 012 Left loop Right loopDouble loop Whorl Arch Tented arch 50 100 150 200 250 300 350 400 450 Number Class Number Lepers Toe print Distribution Figure 4: Toe print chart. Left loop Right loopDouble loop Whorl Arch Tented arch 5 10 15 20 25 30 35 40 LEPERS% CLASS LEPERS% The Lepers Toe print Distribution Figure 5: The lepers toe print distribution plot. REFERENCES 1. Ajibade LS, Jimoh IA. Introduction to computer graphics, artificial intelligence and expert systems depet and co, mokola-ibadan. 2016; 1: 33. 2. Collins, Battley H. Single fingerprints, Hm stationary office London. 2012. 3. Clarence G. Fingerprint science: How to roll, classify, and use fingerprints, Ed. By Gerald D. Hunt, Custom. 2015. 4. Lawrence R, Thebaud. Systems and methods with identity verification by comparison and interpretation of skin patterns such as fingerprints. US Patent 5, 909, 501. 2018. 5. Obaje SE, Ibiyemi TS. Development of fingerprint database and analysis. Department of electrical, university of Ilorin. 2003. 6. Obaje SE, Ibiyemi TS. Automatic fingerprint and toe print recognition for personal identification and forensic application. Final report, department of electrical & electronics engineering, University of Ilorin. 2010. 7. Obaje SE. Lepers personal identification using the soleprint in place of fingerprint. Proceedings of the 3rd International Conference on Electronics and Computer Technology. Kanyakumari. India. 2011; 3: 471-474. http://bit. ly/2rOH5Ao 8. Gaensslen RE, Peter R, Deforest, Henry C Lee. Forensic science, an introduction to criminalistics. McGrawHill, New York. 2013. 9. Maio D, Maltoni R. Cappelli JL, Wayman, AK Jain. FVC2000: Fingerprint verification competition. Proc. 15th International Conference Pattern Recognition. Barcelona. 2000. http://bit.ly/2PZVKAr Left loop Right loopDouble loop Whorl Arch Tented arch 0 5 10 15 20 25 30 35 40 % CLASS LEPERS% CAUCASIAN % Figure 6: Comparison of Caucasian fingerprint and lepers toe print percentage. expert systems for the classification and recognition of objects are included in the toe print. With this in mind, we would like to conclude that the fingerprint can be conveniently replaced by a toe print for people (lepers and accident victims who have no fingerprints) who do not have a fingerprint as a means of personal identification and, in particular, for voting purposes.