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We propose a discriminative compact scene descriptor for single-view cross-season place recognition. Unlike previous bag-of-words approaches which rely on a library of vector quantized visual features, the proposed scene descriptor is based on a library of raw image data (such as available visual experience, images shared by other colleague robots, and publicly available image data on the web) that...
Aiming at the low rate of human gait recognition and other issues, a novel gait recognition based on gait energy image and linear discriminant analysis is proposed in this paper. Firstly, using background subtraction to segment contours of human body, then a gait cycle is computed with the change of body silhouette width; Secondly, using the images in gait cycle sequences to calculate the gait energy...
This article introduces a recognition method of near-duplicate images based on the interaction of perceptual hash and image key points. Using these methods allows to create a descriptor describing the unique features of the image.
THere, authors have introduced an online face recognition system where the recognition task becomes easy to execute and validate using cross-recognition mechanism. ‘RaFaReS,’ the Range Face image Recognition System used to recognize the input 3D face images using 2.5D range images. The system is new of its kind in this area, where the new algorithm either feature extraction or classifier is easily...
Face recognition is an existing and one of most prominent technique of biometrics that includes processing of an image and to be matched with different database. In this procedure, the user matches one person identity with several database images. Various approaches like Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Local Ternary Pattern (LTP) have been used for the purpose of...
Biometrics, an important research field emerging fast, has growing challenges related to the secured access and security of the systems protected. In this paper, the secured access to a smart robot is proposed using biometrics. The robot can be accessed by recognizing the user's face image, acting as a password, and also operates on the voice-commands given by the speaker. The face recognition technique...
Nowadays, in case of an emergency, and because of the more complicated interiors of buildings, people may not be able to easily find a safe escape route within limited time. An immediately available evacuation guide can improve safety in public buildings. In this research paper, we propose an intelligent guidance system that is a combination of image recognition and Digital Signage for conducting...
Over the years, human facial expression recognition has always been a challenging problem in computer vision systems. In this paper, we have worked towards recognizing facial expressions from the images given in JAFFE database. From literature, a set of features have been identified to be potentially useful for recognizing facial expressions. Therefore, we propose to use a combination of 3-different...
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)...
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