International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
DOMAIN SPECIFIC LEARNING FOR NEW BORN BABIES: A SURVEY Deepthi S1, Arun P S2 PG Scholar, Sree Buddha College of Engineering, Alappuzha, India Asst. Professor, Sree Buddha College of Engineering, Alappuzha, India ---------------------------------------------------------------------***--------------------------------------------------------------------2. Related Work Abstract - Biometric recognition can be used for the 1
2
identification of new born babies. It avoids the swapping, abduction, incorrect identification and accurate census. There are different techniques
employed for the
identification of new born. The technologies such as RFID bracelets foot prints and palm prints are used for the identification of new born.
Key Words:
Biometric recognition, swapping, RFID
bracelets
One of the most common techniques used for identification of new borns is the use of RFID bracelets [2].After the birth the bracelets are tag on baby’s hands or legs. But this technique has not been able to provide enough level of security for new born. So foot prints can be used. Shepard et al. [1] proposed that the foot prints are collected from various new borns and stored along with their mothers finger print. That way it is expected that any identity doubt about baby or his or her mother can verify. Due to illegal
1. INTRODUCTION
Automatic recognition of new borns is one of the challenging
problems the use of foot prints identification is not possible
problems with various applications. Because, face of new
in the majority cases.
born may change day by day. The unique nature and behaviour of newborn babies leads to interesting challenges towards a newborn biometric system. Considering the nonintrusive nature of face biometrics, this research explores the possibility of using face recognition for determining the identity of newborns. It had some constraints such as reliability, immense security measures, time consuming and cost effective. The current technologies such as RFID bracelets, palm and foot prints are used for the identification of new borns. Some of the hospitals reported that the babies are transferred too and away from the mother. The delivery of new born to wrong parents is another social issue. In developing countries swapping and abduction are the major problems. The medical science techniques such as DNA, HLA are costly but time consuming. The rapid availability of DNA technology has been enabled faster. So it can be effectively utilizing DNA for biometrics. In Some countries these techniques may not be available .So the institutions such as hospitals, neonatal cares can adopt a biometric system for new born babies. Š 2017, IRJET
In paper [4] proposed that the face and soft biometric can be used for the recognition system. In the proposed system, the biometric recognition system is divided into two subsystems face and soft biometric. The soft biometric identifiers such as height, weight, gender, and blood-group can be very useful in new born recognition. The promising tools such as face and soft biometric data can be useful for the identification of new born. The two subsystems are the primary biometric system which consists of face. The secondary biometric system consists of soft biometric behaviours like height, weight, gender and bloodgroup. For the secondary biometric system the output is prior probability corresponding to the test user. The Bayesian integration can be calculated using matching probability of the user, the given primary biometric and biometric future vector. So the soft biometric characteristics are not as permanent and reliable. The traditional biometric identifiers provide some information about the identity of the newborn. So it leads to higher accuracy in establishing the user identity.
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