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Published in: BMC Medical Informatics and Decision Making 1/2019

Open Access 01-12-2019 | Technical advance

Ear biometrics for patient identification in global health: a field study to test the effectiveness of an image stabilization device in improving identification accuracy

Authors: Lauren P. Etter, Elizabeth J. Ragan, Rachael Campion, David Martinez, Christopher J. Gill

Published in: BMC Medical Informatics and Decision Making | Issue 1/2019

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Abstract

Background

In many low and middle-income countries (LMICs), difficulties in patient identification are a major obstacle to the delivery of longitudinal care. In absence of unique identifiers, biometrics have emerged as an attractive solution to the identification problem. We developed an mHealth App for subject identification using pattern recognition around ear morphology (Project SEARCH (Scanning EARS for Child Health). Early field work with the SEARCH App revealed that image stabilization would be required for optimum performance.

Methods

To improve image capture, we designed and tested a device (the ‘Donut’), which standardizes distance, angle, rotation and lighting. We then ran an experimental trial with 194 participants to measure the impact of the Donut on identification rates. Images of the participant’s left ear were taken both with and without use of the Donut, then processed by the SEARCH algorithm, measuring the top one and top ten most likely matches.

Results

With the Donut, the top one identification rate and top ten identification rates were 99.5 and 99.5%, respectively, vs. 38.4 and 24.1%, respectively, without the Donut (P < 0.0001 for each comparison). In sensitivity analyses, crop technique during pre-processing of images had a powerful impact on identification rates, but this too was facilitated through the Donut.

Conclusions

By standardizing lighting, angle and spatial location of the ear, the Donut achieved near perfect identification rates on a cohort of 194 participants, proving the feasibility and effectiveness of using the ear as a biometric identifier.

Trial registration

This study did not include a medical intervention or assess a medical outcome, and therefore did not meet the definition of a human subjects research study as defined by FDAAA. We did not register our study under clinicaltrials.​gov.
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Literature
1.
go back to reference Mitchell M, Hedt-Gauthier BL, Msellemu D, Nkaka M, Lesh N. Using electronic technology to improve clinical care - results from a before-after cluster trial to evaluate assessment and classification of sick children according to Integrated Management of Childhood Illness (IMCI) protocol in Tanzania. BMC Med Inform Decis Mak. 2013;13:95. Epub 2013/08/29. https://doi.org/10.1186/1472-6947-13-95. PubMed PMID: 23981292; PubMed Central PMCID: PMCPMC3766002. Mitchell M, Hedt-Gauthier BL, Msellemu D, Nkaka M, Lesh N. Using electronic technology to improve clinical care - results from a before-after cluster trial to evaluate assessment and classification of sick children according to Integrated Management of Childhood Illness (IMCI) protocol in Tanzania. BMC Med Inform Decis Mak. 2013;13:95. Epub 2013/08/29. https://​doi.​org/​10.​1186/​1472-6947-13-95. PubMed PMID: 23981292; PubMed Central PMCID: PMCPMC3766002.
2.
5.
go back to reference Hotchkiss DR, Diana ML, Foreit KG. How can routine health information systems improve health systems functioning in low- and middle-income countries? Assessing the evidence base. Adv Health Care Manag 2012;12:25–58. Epub 2012/08/17. PubMed PMID: 22894044. Hotchkiss DR, Diana ML, Foreit KG. How can routine health information systems improve health systems functioning in low- and middle-income countries? Assessing the evidence base. Adv Health Care Manag 2012;12:25–58. Epub 2012/08/17. PubMed PMID: 22894044.
6.
go back to reference Piette JD, Lun KC, Moura LA, Jr., Fraser HS, Mechael PN, Powell J, et al. Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? Bull World Health Organ. 2012;90(5):365–72. Epub 2012/05/17. https://doi.org/10.2471/BLT.11.099069. PubMed PMID: 22589570; PubMed Central PMCID: PMCPMC3341688.CrossRef Piette JD, Lun KC, Moura LA, Jr., Fraser HS, Mechael PN, Powell J, et al. Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? Bull World Health Organ. 2012;90(5):365–72. Epub 2012/05/17. https://​doi.​org/​10.​2471/​BLT.​11.​099069. PubMed PMID: 22589570; PubMed Central PMCID: PMCPMC3341688.CrossRef
7.
go back to reference van Velthoven MH, Car J, Zhang Y, Marusic A. mHealth series: new ideas for mHealth data collection implementation in low- and middle-income countries. J Glob Health 2013;3(2):020101. Epub 2013/12/24. https://doi.org/10.7189/jogh.03.020101. PubMed PMID: 24363911; PubMed Central PMCID: PMCPMC3868820. van Velthoven MH, Car J, Zhang Y, Marusic A. mHealth series: new ideas for mHealth data collection implementation in low- and middle-income countries. J Glob Health 2013;3(2):020101. Epub 2013/12/24. https://​doi.​org/​10.​7189/​jogh.​03.​020101. PubMed PMID: 24363911; PubMed Central PMCID: PMCPMC3868820.
10.
go back to reference Burge M, B W. Ear biometrics in computer vision. Proceedings of the international conference on pattern recognition. 2000:822–6. Burge M, B W. Ear biometrics in computer vision. Proceedings of the international conference on pattern recognition. 2000:822–6.
11.
go back to reference Iannerelli AV. Ear identification (forensic identification series). Paramount publishing company; 1989. Iannerelli AV. Ear identification (forensic identification series). Paramount publishing company; 1989.
12.
go back to reference Yan P, KB. Ear biometrics using 2D and 3D images. Proceedings IEEE Conference Computer Vision and Pattern Recognition Workshop in Advanced 3D imaging for safety and security2005. p. 121. Yan P, KB. Ear biometrics using 2D and 3D images. Proceedings IEEE Conference Computer Vision and Pattern Recognition Workshop in Advanced 3D imaging for safety and security2005. p. 121.
13.
go back to reference Chang K, Bowyer K, Sarkar S, B. V. Comparison and combination of ear and face images in appearance-based biometrics. IEEE Transactions Pattern Analysis Machine Intelligence2003. p. 1160–65. Chang K, Bowyer K, Sarkar S, B. V. Comparison and combination of ear and face images in appearance-based biometrics. IEEE Transactions Pattern Analysis Machine Intelligence2003. p. 1160–65.
14.
go back to reference Moreno B, AS. On the use of outer ear images for personal identification in security applications. Proceedings of IEEE 33rd annual international conference on Secruity Technology1999. p. 469–76. Moreno B, AS. On the use of outer ear images for personal identification in security applications. Proceedings of IEEE 33rd annual international conference on Secruity Technology1999. p. 469–76.
15.
go back to reference Pun K, YM. Recent advances in ear biometrics. Proceedings of the sixth IEEE International Conference on automatic face and gesture recognition2004. p. 164–69. Pun K, YM. Recent advances in ear biometrics. Proceedings of the sixth IEEE International Conference on automatic face and gesture recognition2004. p. 164–69.
16.
go back to reference Khursheed F, AM. time series model based personal verification using ear biometrics. 4th international conference on computer and communication Technology2013. p. 264–68. Khursheed F, AM. time series model based personal verification using ear biometrics. 4th international conference on computer and communication Technology2013. p. 264–68.
17.
go back to reference Ibrahim MI, Nixon MS, SM. The effect of time on ear biometrics. IEEE 2011;2011. Ibrahim MI, Nixon MS, SM. The effect of time on ear biometrics. IEEE 2011;2011.
18.
go back to reference Pflug A, CB. Ear biometrics: a survey of detection, feature extraction and recognition methods. IET biometrics2012. p. 114–29.CrossRef Pflug A, CB. Ear biometrics: a survey of detection, feature extraction and recognition methods. IET biometrics2012. p. 114–29.CrossRef
19.
go back to reference Abaza A, Ross A, Heber C, Harrison MAF, MSN. A survey of ear biometrics. In: Surv AC, editor.2013. p. 1–35. Abaza A, Ross A, Heber C, Harrison MAF, MSN. A survey of ear biometrics. In: Surv AC, editor.2013. p. 1–35.
20.
go back to reference Ragan EJ, Johnson C, Milton JN, Gill CJ. Ear biometrics for patient identification in global health: a cross-sectional study to test the feasibility of a simplified algorithm. BMC Res Notes 2016;9(1):484. Epub 2016/11/04. https://doi.org/10.1186/s13104-016-2287-9. PubMed PMID: 27806727; PubMed Central PMCID: PMCPMC5094067. Ragan EJ, Johnson C, Milton JN, Gill CJ. Ear biometrics for patient identification in global health: a cross-sectional study to test the feasibility of a simplified algorithm. BMC Res Notes 2016;9(1):484. Epub 2016/11/04. https://​doi.​org/​10.​1186/​s13104-016-2287-9. PubMed PMID: 27806727; PubMed Central PMCID: PMCPMC5094067.
22.
go back to reference Bargal S.A. WA, Chan C. R., Howes S., Sclaroff S., Ragan E., Johnson C., Gill C.J. Image-based ear biometric smarphone app for patient identification in field settings. International Conference on Computer Visiion Theory and Application (VISAPP); Berlin, Germany2015. Bargal S.A. WA, Chan C. R., Howes S., Sclaroff S., Ragan E., Johnson C., Gill C.J. Image-based ear biometric smarphone app for patient identification in field settings. International Conference on Computer Visiion Theory and Application (VISAPP); Berlin, Germany2015.
25.
go back to reference Niemitz C, Nibbrig M, Zacher V. Human ears grow throughout the entire lifetime according to complicated and sexually dimorphic patterns--conclusions from a cross-sectional analysis. Anthropol Anz 2007;65(4):391–413. Epub 2008/01/17. PubMed PMID: 18196763.CrossRef Niemitz C, Nibbrig M, Zacher V. Human ears grow throughout the entire lifetime according to complicated and sexually dimorphic patterns--conclusions from a cross-sectional analysis. Anthropol Anz 2007;65(4):391–413. Epub 2008/01/17. PubMed PMID: 18196763.CrossRef
26.
go back to reference Nellhaus G. Head circumference from birth to eighteen years. Practical composite international and interracial graphs. Pediatrics. 1968;41(1):106–14. Epub 1968/01/01. PubMed PMID: 5635472. Nellhaus G. Head circumference from birth to eighteen years. Practical composite international and interracial graphs. Pediatrics. 1968;41(1):106–14. Epub 1968/01/01. PubMed PMID: 5635472.
Metadata
Title
Ear biometrics for patient identification in global health: a field study to test the effectiveness of an image stabilization device in improving identification accuracy
Authors
Lauren P. Etter
Elizabeth J. Ragan
Rachael Campion
David Martinez
Christopher J. Gill
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2019
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-0833-9

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