This paper presents a multimodal biometric system of fingerprint and ear biometrics. Scale Invariant Feature Transform (SIFT) descriptor based feature sets extracted from fingerprint and ear are fused. The fused set is encoded by K-medoids partitioning approach with less number of feature points in the set. K-medoids partition the whole dataset into clusters to minimize the error between data p...

Artificial Neural Network(ANN)s are efficient means of prediction, optimization and recognition. Retina is an unique biometric pattern that can be used as part of a verification system. An ANN can be configured and trained to handle such variations observed in the texture of the fingerprint and retina. Fingerprint recognition is one such area that can be used as a means of biometric verificatio...

Estimation of orientation fields is a crucial task in fingerprint recognition. Many processing steps depend on their precise estimation and the direction of fingerprint minutiae is a valuable information. But especially for regions of low quality the task is not trivial and engineered approaches on local features may fail. Methods that combine local and global features learned from the data are...

In respect to the issues on privacy, security and legal significance of a document, some sorts of security protections should be put on a document to ensure its genuineness and integrity. In this research, signatories’ encrypted digital biometric fingerprint in binary format will be embedded into a binary text document by Flipping – one of the methods in spatial domain. During the embedding pro...

A secured system process is becoming a tough process to validate the online users. In an online process, normally user name and password is given for user registration. But since this alone is not sufficient for security, biometric identifier, fingerprint is used in registration step using a fingerprint device. In this paper, an additional security parameter, signature using mouse, that is, key...

Biometric systems are vulnerable to certain type of attacks at various points in the biometric model. A spoofing attack which is submitting a stolen, copied biometric trait to the sensor to gain unauthorized access to the biometric system is one among them. Multimodal biometric systems are designed to increase the accuracy of the biometric system, but they are more vulnerable to spoofing attack...

We propose a novel biometric sensing technique for personal authentication in which fingerprint images are captured using an optical encryption method. This method can reduce the risk of data theft or leakage of personal information captured by biometric sensing. This method, termed encrypted sensing, is implemented using digital holography with double random phase encoding. We demonstrate expe...

Fingerprint-which have been used for about 100 years are the oldest biometric signs of identity. Humans have used fingerprints for personal identification for centuries and the validity of fingerprint identification has been well established. In fact, fingerprint technology is so common in Human Identification that it has almost become the synonym of biometrics. Fingerprints are believed to be ...

Use of biometrics for person identification has increased tremendously over the past decade, e.g., in large scale national identification programs, for law enforcement and border control applications, and social welfare initiatives. For such large scale applications with a diverse target population, unimodal biometric systems, which use a single biometric trait (e.g., fingerprints), are inadequ...