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The school is a personnel intensive place, and it is easy to cause a fire. Through the video image processing method, the campus fire can be recognized effectively. Traditional campus fire recognition methods based on video image analysis don't analyze the color, texture and other low-level visual feature information of specific campus fire image. The cross validation performance is not good, and...
This paper presents a novel design of visual servo control of a mobile manipulator for autonomous grasping of a target object. In this design, scale invariant feature transform (SIFT) algorithm is adopted to search and recognize the object to grasp. Random sample consensus (RANSAC) algorithm is used to remove outliers and find the refined homography matrix between database and current image. Robust...
A new method is introduced in line feature recognition, firstly introduced the theory and algorithm of differential projection transform and its inverse transform, and then compared and analyzed the differential projection transform, Radon transform and Hough transform in aspect of accuracy of line feature recognition and asymptotic time complexity, and draw a conclusion that the differential projection...
Palmprint identification/verification is becoming increasingly popularity in recent years. The fundamental step in palmprint based biometric authentication system is in locating the region of interest (ROI) in palmprint images. In this paper, we propose a novel three stage process of palmprint verification. Stage one involves a new method of locating and segmenting the ROI of palmprint images and...
Palmprint based personal verification is an accepted biometric modality due to its reliability, ease of acquisition and user acceptance. This paper presents a novel palmprint based identification approach which draw on the textural information available on the palmprint by utilizing a combination of contourlet and non subsampled contourlet transforms. Center of the palm is computed using the distance...
In modern driver assistance systems the environment perception plays a decisive role in order to evaluate the current traffic scene. The reliable recognition of the drivable area provides essential information for lane departure warning systems which in turn contribute to active road safety. Most systems on lane recognition do reliable work on well marked roads and under good weather and lighting...
A new human ear recognition approach based on block segmentation is proposed in this paper. In this method, an original ear image is partitioned into several smaller sub-images, then the sub-images are extracted by features, As a result, the lower dimension space features that can replace the original images are obtained. Finally the pattern classification can be implemented by the nearest neighbor...
In the recent past, the recognition and localization of objects based on local point features has become a widely accepted and utilized method. Among the most popular features are currently the SIFT features, the more recent SURF features, and region-based features such as the MSER. For time-critical application of object recognition and localization systems operating on such features, the SIFT features...
In this paper we describe the problem of visual place categorization (VPC) for mobile robotics, which involves predicting the semantic category of a place from image measurements acquired from an autonomous platform. For example, a robot in an unfamiliar home environment should be able to recognize the functionality of the rooms it visits, such as kitchen, living room, etc. We describe an approach...
Logo or Trademark is of high importance because it carries the goodwill of the company and the product. Products are mostly recognized by their brand logos. Their recognition is a major problem. A number of techniques are there for logo recognition. In this paper, a number of invariant techniques are compared to find out their effectiveness on various categories of brand logos. Techniques which were...
The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normalized RGB, some regions are selected as candidates of a traffic light. Then a method based on the Hough transform is applied to detect an exact region. Experimental...
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this paper we proposed a novel SIFT based feature for offline handwritten Chinese character recognition. The presented feature is a modification of SIFT descriptor taking into account of the characteristics of handwritten Chinese...
Machine recognition of hand-filled forms is a challenging task. Form processing involves many activities including form field location, field frame boundary removal and data image extraction, segmentation, feature extraction, classification and recognition. The paper proposes an algorithm for removal of the field frame boundary of the hand filled forms in Gurmukhi Script. Because of the structural...
This paper presents an unified framework for fast interactive segmentation of natural images using the image foresting transform (IFT) - a tool for the design of image processing operators based on connectivity functions (path-value functions) in graphs derived from the image. It mainly consists of three tasks: recognition, enhancement, and extraction. Recognition is the only interactive task, where...
With increasing of the use of helicopters for transmission line inspection, the image processing technology is used to inspect the status of the transmission lines. In this paper, an algorithm of transmission line automatic extraction and recognition from natural complex background in aerial images is presented. A developed Marr-Hildreth edge detecting algorithm was used to enhance the linear features...
In this paper an improved procedure for the automatic recognition of built-up areas, using the so-called PANTEX index is presented. This index is based on analysis of image textural measures extracted using anisotropic rotation-invariant GLCM statistics. These measures may overestimate the built-up areas in case of presence of scattered vegetation having the same spatial pattern of settlements. In...
In this paper, a system for recognition of brand logos in television commercial is proposed. In this work, a novel brand logo analysis system which uses shape-based matching and scale invariant feature transform (SIFT) based matching on graphics processing unit (GPU) is developed and the comparison of two methods are presented.
In this paper, a novel low-complexity iris recognition system based on 1-bit transform (1BT) and angular radial partitioning (ARP) is proposed. A binary iris image is obtained using 1BT on iris image. ARP is applied to this binary image and a feature vector is extracted considering the amount of data in the partitions and identification is executed. An important advantage of the proposed approach...
In this paper, the architect of biometric watermarking is researched. A feature embedding watermarking (FEW) system is resented firstly. A robust biometric watermarking method for iris image based on affine parameters estimation (APE) is presented. The determination of the general affine transform applied to an iris image relies on the determination of the regular grid of points for estimation of...
Iris recognition is proving to be one of the most reliable biometric traits for personal identification. In fact, iris patterns have stable, invariant and distinctive features for personal identification. In this paper, we propose a new algorithm that detects the largest non-occluded rectangular part of the iris as region of interest (ROI). Thereafter, a cumulative-sum-based grey change analysis algorithm...
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