Limitations of footprinting as a moans of infant identification

Shepard, Kenneth S.; Erickson, Nancy A.; From, M; Taylor, Sally

doi:10.1097/00006199-196601530-00050

Cited by 5 publications

(9 citation statements)

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“…Acquisition of newborns footprints at birth is used as means of identification in many countries since the beginning of the 20th century (Shepard et al, 1966;Cat, 2003;Vaesken, 2006). Usually the footprints are collected with ink spread on the foot with a cylinder and then printed on the newborns' medical record, along with the mothers fingeprint.…”

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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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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show abstract

“…Traditionally, the systems such as wristband name tagging are utilized at hospitals in developed countries. However, the cases of child switching still take place 1 . In order to address the issue, the techniques based on something you are -personal trait (biometrics) are getting more traction as opposed to something you have (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…In case of newborn identification the personal traits such as friction-ridge patterns on a baby's foot [1], [2] or palm [3], and appearance of face [4] and ear [5] are explored by researchers. The biometric modalities for newborn identification are illustrated in Fig.…”

Section: Introductionmentioning

confidence: 99%

“…as a step forward to develop a computationally effective and efficient system for identifying newborns. The rationale for exploring binocular recognition for newborn identification is two fold 1 • In literature, it has been observed that binocular yields better accuracy than face in presence of large age variations [6]. The newborn face is varies significantly within a span of few months due to craniofacial development.…”

Section: Introductionmentioning

confidence: 99%

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Recognizing newborns using binocular region

Parmar

Vishwamitra

2015

2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

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Existing approaches on newborn identification focuses on recognizing them using face, inked footprints, and palm prints. While palm and inked footprints are intrusive modalities, face modality suffers from non-cooperative nature of newborns. In this research, we investigate utilization of binocular region for recognizing newborns, as this region is considered to be relatively stable in face biometrics literature. We collect a database consisting of 402 face images pertaining to 50 babies of less than 6 months of age. A set of experiments pertaining to various descriptors, including local binary patterns, dense scale invariant feature transform, and Gabor features, along with subspace learning using principal component analysis, linear discriminant analysis, and independent component analysis. Recognition performance of various approaches are compared with respect to face and binocular modalities. Verification results are reported in terms of Receiver operating characteristics curves respectively. The results show that binocular can outperform face as a modality for newborn recognition.

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“…According to survey report 90% of the hospitals in United States perform foot printing of the babies within 2 hours of their birth and hospitals maintain newborn identification form on which footprint of the child and fingerprint of the mother are collected. The prints are generally collected using ink based methods and then printed on the identification form.Medical and computer scientist have explored the efficiency and authenticity of using footprints for newborn identification and analysis done by Shepard et al using footprints of 51 newborns was examined by fingerprint experts ant they were able to identified only 10 newborn [5,6].…”

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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Limitations of footprinting as a moans of infant identification

Cited by 5 publications

References 0 publications

Newborn’s Biometric Identification: Can It Be Done?

Newborn’s Biometric Identification: Can It Be Done?

Recognizing newborns using binocular region

Fusion of Ear and Soft-biometrics for Recognition of Newborn

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