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Speech recognition technology is spreading with personal digital assistants such as smart phones. However, we are concerned about the decline in the recognition rate at places with multiple voices and considerable noise. Therefore, we have been studying a lip operation that would recognize the content of an utterance by reading from an image. Based on this research, we created a database of utterances...
A novel method for color image feature extraction is proposed. First of all, non-iterative bilateral projection based 2DPCA algorithm (NIB2DPCA) is employed to extracted feature information from three channels of a given color image respectively. Then the three extracted feature matrices are reconstructed to form a two-dimension middle matrix. After that, NIB2DPCA is employed again to extract features...
An image level fusion technique combines different form of images so that the combine image may contain more relevant information than the individual ones. An image fusion technique for face recognition is presented in this paper. Due to the topological structure of human face images, one can easily identify a face image by looking along the horizontal-vertical and also forward-backward directions...
This work aims to realize identity recognition using images from one Database [1]. This facial database is composed of 3D dynamical images or 4D considering the time component as the fourth dimension, where the head movements are removed and only the facial dynamism is considered. The identity recognition is done by an Artificial Intelligence method based on Artificial Immune System of Negative Selection...
Undersampled face recognition deals with the problem in which, for each subject to be recognized, only one or few images are available in the gallery (training) set. Thus, it is very difficult to handle large intra-class variations for face images. In this paper, we propose a one-pass dictionary learning algorithm to derive an auxiliary dictionary from external data, which consists of image variants...
Multiple enrollment based fingerprint recognition systems have for long been known for good recognition accuracies. They however suffer poor matching speeds, a lot of memory consumption and the recognition accuracies are still very low; making implementation in real-world applications difficult. This paper presents a novel approach that performs prior selection of good fingerprint image samples of...
As modern technology evolves, the use of face recognition system is scattering in different sectors of commercial markets rather than in security purposes only. Various approaches are introduced for face recognition system, among them principal component analysis is one of the simplest and efficient method. To improve the performance of face recognition, choosing a threshold value and minimum number...
Combined road marking and traffic sign databases are beneficial for both road maintenance and for usage within navigation devices and autonomous driving vehicles. The combination of both markings and signs completely provides all instructions and legislation for drivers. This paper presents a conceptual system for the automated creation of such combined databases and investigates the benefit of this...
This paper presents a novel method for facial expression recognition using only sequence level labeling. With facial image sequences containing multiple peaks of expression, our method aims to label these sequences and identifies expressional peaks automatically. We formulate this weakly labeled expression recognition as a multi-instance learning (MIL) problem. First, image sequences are clustered...
Significant progress towards visual search has been made in the past two decades through the development of local invariant features. Among existing local feature detectors, the Scale Invariant Feature Transform (SIFT) is widely used since it is designed to be invariant to minimal illumination changes and certain geometric transformations. However, in practice, the recognition performance is still...
Blood vessel extraction from retinal fundus images is an important task in developing the computer-aided diagnostic system for ophthalmologists. In this paper we have presented an algorithm for extraction of blood vessels of retinal fundus images and comparison of different moment invariants used for the extraction of features for the vessel pixels. The algorithm uses neural networks for distinguishing...
Vein recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In our framework, the minutiae features is extracted from the dorsal hand vein patterns for recognition, which include end points and the distance between the two end points as measured along the boundary of the image. In addition, the end-points-tree (EP-tree)...
In this paper, we address the challenging problem of single-view cross-season place recognition. A new approach is proposed for compact discriminative scene descriptor that helps in coping with changes in appearance in the environment. We focus on a simple effective strategy that uses objects whose appearance remain the same across seasons as valid landmarks. Unlike popular bag-of-words (BoW) scene...
This document represents a client server based application designed for the purpose of artefact recognition in a museum, based on photos made with the help of a mobile phone. Image recognition was conducted with the help of SURF (Speeded Up Robust Features) algorithm. Server was implemented with the usage of Netty library. Because of the parallel approach used both in the classification part and during...
In this paper, Krawtchouk invariant moments are used as features for object recognition. For hand images, the performance of Krawtchouk moments in terms of recognition accuracy, rotational invariance, scale invariance, computational time and feature vector size, has been analysed. A user independent dataset for 21 subjects under varying illumination conditions is created. A comparative analysis with...
Signature has been a distinguishing biometric feature. Today the human signature of a person is used as an identification of person because we are all know that the each person has distinct signature and every signature has its own physiology or behavioral characteristics. So the human signature used as a identification of person in various work like bank checks etc. The signature identification can...
Fingerphoto is an image of a human finger obtained with the help of an ordinary camera. Its acquisition is convenient and does not require any particular biometric scanner. The high degree of freedom in finger positioning introduces challenges to its recognition. This paper proposes a fingerphoto based human authentication system for mobile hand-held devices by using a non-conventional scale-invariant...
In recognition of urban buildings, conventional SIFT-based matching is highly prone to error when a large number of similar keypoints are extracted from the repetitive structure of a building. We propose a relaxation based matching of clusters of SIFT keypoints, followed by multi-frame verification. Two-step mean shift clustering is successful in grouping semantically homogeneous keypoints into a...
Robustness to variations in environmental conditions and camera viewpoint is essential for long-term place recognition, navigation and SLAM. Existing systems typically solve either of these problems, but invariance to both remains a challenge. This paper presents a training-free approach to lateral viewpoint- and condition-invariant, vision-based place recognition. Our successive frame patch-tracking...
In this paper, we propose to use Fourier descriptors (FD) for hand posture recognition in a vision-based approach. FD are widely used for shape representation and pattern recognition, they may also be well-adapted for hand posture recognition. The invariance properties of FD are discussed, and we provide a comparison of the performances with Hu moments. First, experiments are performed on the Triesch...
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