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This paper investigates how we can achieve object recognition in an image by looking at some examples of training images. Scale Invariant Feature Transform (SIFT) is one proposal method to detect features in an image and then can use those features to distinguish between different objects. Therefore, my aim was to implement SIFT code to do recognition tasks using simple thresholding and evaluating...
In today's age of automation, face recognition is a vital component for authorization and security. It has received substantial attention from researchers in various fields of science such as biometrics and computer vision. In this paper, a face recognition system using Principal Component Analysis (PCA) with Back Propagation Neural Networks (BPNN) is analysed. A neural based algorithm is presented...
Questionnaires are widely used for investigation and statistical analysis. However, paper-based questionnaires require great human resources to count the statistical results or enter data into database, which are time consuming. A system capable of recognizing results of questionnaires will be very useful in many aspects. In this paper, we develop a fast and robust digital recognition system for questionnaire...
Face and facial attributes represent meaningful definition about a variety of information to discriminate an individual from others and for developing a computational model for automatic face recognition purpose. However, in this work, selection of relevant features from newly created face space is the pivotal contribution of the authors. Here, authors have demonstrated a new face space ‘Complement...
Gender recognition is one of the most popular research areas in security, biometrics and human computer interaction applications [1]. In previous studies, structural and textural features of facial expressions were mostly used to identify gender. One of the biggest challenges of gender recognition is differentiating textual features of faces that decrease the accuracy of the proposed method, and there...
Previous work on iris recognition focused on either Visible Light (VL), Near-Infrared (NIR) imaging or the fusion between them. However, limited numbers of works have compared the iris biometric performance under both VL and NIR spectrum using images taken from the same subject. In this paper, we explore the differences in iris recognition performance across the VL and NIR spectrum. In addition, we...
It is known that face recognition rate is affected by the resolution of probe image. Therefore it is natural to expect improving the resolution via face hallucination would increase the recognition rate. However, it was concluded in the previous works that improvement in the visual quality does not necessarily lead to a better recognition rate, and performance of face hallucination for recognition...
In this paper, we proposed a template based face recognition approach. Here we compared our approach with the holistic feature based approach Principal Component Analysis (PCA). PCA is a statistical feature based approach works on Eigen space. PCA is a simple approach for face recognition of only frontal faces and proposed system is based on grey level template matching. To know the greatness of proposed...
In order to improve the security and reliability of the identification system, a combination recognition method of palmprint and palm vein based on gray surface matching is proposed. Firstly, the palmprint and palm vein image are seen as a kind of gray surface features of the three-dimensional space. Secondly, palmprint and palm vein image are combined. Furthermore the difference surface is get from...
Biometrics has become an integral part for person identification. Out of all biometrics, face is used more often as it can be captured easily. Face recognition plays an important role in digital world and hence has gained a lot of attention. In this paper, focus is laid on the face recognition with permanent changes. Permanent changes in face can be naturally or artificially induced. In natural change,...
Automated recognition of facial expression has attracted significant attention in recent years due to its potential applicability in security and surveillance, human computer interaction, social robotics, and animation. This paper presents a new facial expression recognition method that utilizes bit plane specific local image description in a weighted score level fusion. The motivation is to utilize...
Human recognition system can be done based on the characteristics of palmprint. The palmprint identification system is the palmprint matching process tested with the entire palmprints have been registered on the database. The result is to recognize one individual palmprint. This system consists of software completed with a webcam as input to generate input images. In the system, feature extraction...
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...
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