The present research was carried out to define the biometric traits of HF Crossbred Cattle from Livestock Research Station, AAU, Anand; Sarsa Heifer Farm - Amul Dairy, Ode Semen Station Anand. recorded on 506 and those are body length (BL), height at wither (HW), hip (HH), heart girth (HG), chest depth (CD) width (WH), live weight (BW) age. All data were grouped sex-wise. Principal component an...

Zusammenfassung) Biometrics have been used for secure identification and authentication for more than two decades since biometric data is unique, non-transferable, unforgettable, and always with us. Recently, biometrics has pervaded other aspects of security applications that can be listed under the topic of “Biometric Cryptosystems”. Although the security of some of these systems is questionab...

The study focuses on proffering solution to some identified data insecurity problems in software development using Webbased learning system as a test bed, by development of an hybrid crypto-biometric security system, and the use of an enhanced eigen-based facial recognition algorithm. The methodology is by implementation of an optimized principal component analysis eigen facial recognition algo...

Biometric authentication techniques are more consistent and efficient than conventional authentication techniques and can be used in monitoring, transaction authentication, information retrieval, access control, forensics, etc. In this paper, we have presented a detailed comparative analysis between Principle Component Analysis (PCA) and Independent Component Analysis (ICA) which are used for f...

Face recognition frameworks are a part of facial image processing applications. [1] It has been a active research topic in the last two decades and its methods are presently sent in access control frameworks. It is the most common method for biometric distinguishing proof and has the advantage of non intrusiveness over the other biometric strategies, for example, irises and fingerprints. So the...

This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature level fusion to achieve better performance. The main aim of the proposed system is to increase the recognition accuracy using feature level fusio...

Biometrics authentication is an effective method for automatically recognizing a person's identity with high confidence. Multispectral palm print biometric system is relatively new biometric technology and is in the progression of being endlessly refined and developed. Multispectral palm print biometric system is a promising biometric technology for use in various applications including banking...

Computing user templates (or models) for biometric authentication systems is one of the most crucial steps towards efficient and accurate biometric recognition. The constructed templates should encode user specific information extracted from a sample of a given biometric modality, such as, for example, palmprints, and exhibit a sufficient level of dissimilarity with other templates stored in th...