Automatic identity recognition from ear images represents an active field of research within
the biometric community. The ability to capture ear images from a distance and in a covert …

Automatic person identification from ear images is an active field of research within the
biometric community. Similar to other biometrics such as face, iris and fingerprints, ear also …

This paper explores ear biometrics using a mixture of feature extraction techniques and
classifies this feature vector using deep learning with convolutional neural network. This …

The possibility of identifying people by the shape of their outer ear was first discovered by
the French criminologist Bertillon, and refined by the American police officer Iannarelli, who …

The multimodal biometrics is mainly used for the purpose of person certification and proof.
Lot of biometrics is used for human authentication. In which ear and fingerprint are efficient …

In this paper, an overall framework has been presented for person verification using ear
biometric which uses tunable filter bank as local feature extractor. The tunable filter bank …

This paper presents the ear based authentication using Local Principal Independent
Components (LPIC) an extension of PCA. As PCA is a global approach dealing with all pixel …

Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric
procedures have been predominantly used to ensure identity and ear recognition …

Principal Component Analysis (PCA) has been successfully applied to many applications,
including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal …

In the current scenario to access the data securely from wireless network, e-commerce and
internet have become a great concern. As the technologies become commercialized in high …