Análise Crítica De Impressões Plantares De Recém-Nascidos

Pelá, Nilza Teresa Rotter; Mamede, Marli Villela; Tavares, Maria Solange Guarino

doi:10.1590/0034-716719760004000013

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…on 1917 footprints collected by trained staff of a hospital in Brazil. They concluded that none of the images provided sufficient information to perform accurate identification [12,13]. Further biometrics researchers explored the applicability of other biometrics feature like fingerprint/ palmprint and ear for recognition of infants.…”

Section: Existing Methodsmentioning

confidence: 99%

Intelligent Method for Face Recognition of Infant

Tiwari¹,

Singh²,

Singh³

2012

IJCA

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Mixing, abduction and illegal adoption of infant is a global challenge and the research done to solve this problem is minimal. Traditional methods of biometric and non biometric techniques have their own limitations and fail to provide required level of security. The task of face recognition has been actively researched in recent year and automatic face recognition of infant is not reported in the literature. The contributions of this research are: (i) Design and implementation of intelligent face recognition technique to recognize infant. (ii) Preparing an infant face database of 150 individuals with slight variations in pose, illumination; expression and quality. The results on the infant database are very encouraging.

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Section: Existing Methodsmentioning

confidence: 99%

Intelligent Method for Face Recognition of Infant

Tiwari¹,

Singh²,

Singh³

2012

IJCA

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“…Unfortunately, due to illegibility problems, the use of these footprints for identification purposes is not possible in the majority of cases. According to several studies (Cat, 2003;Shepard et al, 1966;Pelá et al, 1975;Lomuto and Duverges, 1995;Thompson et al, 1981), the main reasons for illegible footprints are:…”

Section: Footprintsmentioning

confidence: 99%

Newborn’s Biometric Identification: Can It Be Done?

Weingaertner

Bellon

Silva

et al. 2008

Proceedings of the Third International Conference on Computer Vision Theory and Applications

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In this article we propose a novel biometric identification method for newborn babies using their palmprints. A new high resolution optical sensor was developed, which obtains images with enough ridge minutiae to uniquely identify the baby. The palm and footprint images of 106 newborns were analysed, leading to the conclusion that palmprints yield more detailed images then footprints. Fingerprint experts from the Identifcation Institute of Paraná State performed two matching tests, resulting in a correct identification rate of 63.3% and 67.7%, more than three times higher than that obtained on similar experiments described on literature. The proposed image acquisition method also opens the perspective for the creation of an automatic identification system for newborns.

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“…According to study [7] on1917 foot prints collected by trained staff of hospital in Brazil, where most of the images collected provided insufficient information for identification of newborn [7]. Researchers also explored the applicability of other biometric modalities such as fingerprint, palm print and ear for verifying the identity of newborn babies [8].…”

Section: Introductionmentioning

confidence: 99%

Fusion of Ear and Soft-biometrics for Recognition of Newborn

Tiwari¹

2012

SIPIJ

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Recognition of newborn after birth is a critical issue for hospitals, maternity word and other places where multiple birthstake place. Switching and abduction of newborn is a global challenge and research done to meet this challenge is minimal. Most of the biometric systems developed are for adults and very few of them address the issue of newborn identification.The ear of newborn is a perfect source of data for passive identification of newborn as they are the highly non cooperative users of biometrics. The four important characteristics of ear biometrics: universality, uniqueness, permanence and collectability make it a very potential biometric trait for the identification of newborn. Further the use of soft-biometric data like gender, blood group, height and weight along with ear enhances the accuracy for identification of newborn. The objective of this paper is to demonstrate the concept of fusing earand soft-biometrics for recognition of newborn. The main contributions of the research are (a) Design and implementation for fusion of ear and soft biometric for recognition of 210 newborn. (b)Preparation of ear and soft-biometric database of newborn. Fusion of ear and soft-biometrics results in an improvement of approximately 5.59% over the primary biometric system i.e. ear.

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Análise Crítica De Impressões Plantares De Recém-Nascidos

Cited by 14 publications

References 4 publications

Intelligent Method for Face Recognition of Infant

Intelligent Method for Face Recognition of Infant

Newborn’s Biometric Identification: Can It Be Done?

Fusion of Ear and Soft-biometrics for Recognition of Newborn

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