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In this work, we present an approach that is able to deal with large-scale road network mapping. While former methods focus on delineating patches of roads without computing a coherent road network, we formulate a very large number of road hypothesis that are pruned using a graph reasoning and weak a priori knowledge on road behavior. The initial solution is computed by means of two machine learning...
Vehicles are generally identified by their license plates. Locating the exact area containing the license plate is an important step in any license plate recognition system. This work describes an Edge Density Based approach for locating the single/multiple license plates present in the captured frame. The proposed approach is divided into two stages: Pre-processing and Exact detection. Pre-processing...
The local feature descriptor called SIFT, is one of the most widely used descriptors. The keypoints found with RSIFT and describe them in a standard way, which makes them invariant to the size changes, rotation, position, scale, and so on. These are quite powerful features and are used in a variety of tasks. This local feature SIFT descriptor gives potential key points, which are extracted from the...
Kannada language has about 2000 year's history. Karnataka was ruled by many rulers like Kadambas, Western Ganga Dynasty, Rashtrakuta, Chalukya, Hoysala and Vijayanagara Empire. The inscriptions generally found are on stone or copper plates. The Kannada inscriptions found on historical hero Stone, coin and temple wall, pillar, tablet and rock edict. Analysis of any language with rich heritage and history...
This paper proposes a biometric system to identify people based on the pattern of finger vein. The system uses a database of human index finger images acquired on infrared range. The present proposal has applied Sobel detector, enhancement filter and a binarization process to get the vein pattern. The testing results have reached an equal error rate of 27.56%, and a Genuine Acceptance Rate of 100%...
We propose an approach applicable in the problem of multi dimensions text mining that finds out several sets of phrases which were referred to as the text dimension. Based on the dimensions of text found by the proposed approach, a network could be built by similarities between documents. A method is proposed to transform the network from a coarsegrained one to a fine-grained one. By repeatedly mining...
This paper addresses the problem of image annotation using a combination of visual and semantic information. Our model involves two stages: a Nearest Neighbor computation and a tag transfer stage that collects the final annotations. For the latter stage, several algorithms have been implemented in the past using labels' information or including implicitly some visual features. In this paper we propose...
This paper presents a face orientation angle recognition system based on hausdorff distance matching from 2D image. The hausdorff distance can determine the degree of resemblance between an image and a model. The proposed system measures the angle of face orientation using Modified six hausdorff distance matching method after finding canny edge of the image and interpolation.
The ability to classify a vehicle is of extreme importance for both civilian and non-civilian applications. For non-civilian applications the state-of-the-art leaves much to be desired, as hierarchal and real-time classification have yet to be truly investigated. This paper provides a survey of the current state-of-the-art in vehicle classification and provides recommendations for future research...
This research presented a geometric CAPTCHA which was not created from images in any database, but it is an image of a geometric shape that randomly generated from a program and its edge was incomplete. Geometric CAPTCHAs were tested with users to identify the number of angles from a shape and to do a simple calculation. Users must type a right answer to pass the CAPTCHA test. Geometric CAPTCHAs were...
The paper proposes a robust face detection technique based on skin color clustering and geometric feature. Skin regions are extracted using Gaussian skin color model in Cb-Cr space and likelihood ratio method is used to create a binary mask. Further, morphological operations and adaptive thresholding is applied to group the potential face regions and remove noisy pixels. The region thus extracted...
In this paper, we propose effective techniques for automatic writer recognition that operate at different analysis levels. At the texture level, we present a novel 2-D wavelet-based method to replace the traditional 2-D Gabor filter. In our analysis at the microstructure level, we use a floating grid around every edge pixel to record orientation and curvature information to characterize writer individuality...
Edge services become increasingly important as the Internet transforms into an Internet of Things (IoT). Edge services require bounded latency, bandwidth reduction between the edge and the core, service resiliency with graceful degradation, and access to resources visible only inside the NATed and secured edge networks. While the data center based cloud excels at providing general purpose computation/storage...
Biometric identification of persons has mainly been based on fingerprints, face, iris and other similar attributes. We propose a handwriting-based biometric identification system using a large database of Arabic handwritten documents. The system first extracts, from each handwritten sample, a set of features including run lengths, edge-hinge and edge-direction features. These features are used by...
This project describes the use of SIFT algorithm for the purpose of giving support to Blind and visually impaired. It is a greater challenge for the visually impaired and blind people's to work alone and to satisfy their Needs. The main things that a Blind can need are to identify an Object, Image Recognition, Face recognition. This paper Satisfies the Blind People's Needs by using the SIFT algorithm...
Iris recognition has emerged as one of the most promising contactless biometrics technologies to provide automated human identification. Several national ID programs, such as Aadhar in India, incorporate iris biometrics to provide unique identity to millions of citizens. Therefore it is vital that integrity of such large scale iris deployments must also be safeguarded. Iris recognition technologies...
This paper focus, to reduce the computational complexity in face detection and to improve the accuracy rate of face recognition. Viola jones algorithm is used for the face detection. There exist challenges in pre-processing stages like illumination, noise reduction, low resolution, which has to be faced. These problems can be overcome by hue saturation for illumination, median filters for noise reduction...
This article presents a novel method of classification of plants using their leaves. Major plant species have unique leaves which are different from each other by features as shape and texture. The primary step for the identification is detection of the edges of plant leaves which is done by Otsu's algorithm, texture features from Gray Level Cooccurrence Matrix and binary morphology. We propose a...
Computational advancement impacts directly on the technology of image processing. Image Quality assessment (IQA) is an area where almost all image processing researchers are impressed and publishing their research work frequently. Since the image processing required sophisticated computation and analysis in both the cases of task oriented images and non task oriented images, several algorithms and...
Face identification and detection has become very popular, interesting and wide field of current research area. As there are several algorithms for face detection exist but none of the algorithms globally detect all sorts of human faces among the different colors and intensities in a given picture. In this paper, a novel method for face detection technique has been described. Here, the centers of...
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