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Present paper explores gray-level texture features and their extension to color spaces to check their robustness and feasibility in hand detection system. A bare hand detection is affected by uneven illumination, skin tone variation, affine distortions, position variation, complex background, etc., which also effects the performance of features as well as learning ability of classifiers. Despite all,...
Most state-of-the-art graph kernels only take local graph properties into account, i.e., the kernel is computed with regard to properties of the neighborhood of vertices or other small substructures. On the other hand, kernels that do take global graph properties into account may not scale well to large graph databases. Here we propose to start exploring the spacebetween local and global graph kernels,...
Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic medicinal industry. The main features required to identify a medicinal plant is its leaf shape, colour and texture. Colour and texture from both sides of the leaf contain deterministic parameters to identify the species. This paper explores feature vectors from both the front...
This paper proposes a password security system that allows the host not to store the passwords of its users at its end. Instead it creates and stores a derivative of the password with the help of a bitmap image uploaded by the user during the user creation process. During the login attempts of users, the user is required to enter the password and upload the same image. the proposed system verifies...
The landscape plant as spatial element used in the construction of parametric configuration system is a fresh concept and technical innovation. This System is aimed to help designers without botany knowledge to finish some simple plants arrangements. Through the construction of plant parametric configuration system and some typical trees and shrubs parametric database, we use examples to illustrate...
Recently, various objective image quality assessment (IQA) metrics have been proposed for measuring the quality of a captured image. Moreover, IQA databases have been made available to enable researchers develop and test IQA metrics. For instance, the TID2013 database was used in the experiments conducted in this study. It contains many test images obtained from 25 reference images, each having 24...
Despite the fact that infant mortality rates have been decreased in recent years, this issue stills being considered alarming to Brazilian health system indicators. In this context, the GISSA framework, an intelligent governance framework for Brazilian health system, emerges as a smart system for the Federal Government program, called Stork Network. Its main objective is to improve the healthcare...
The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes,...
The high-level feature representation of deep convo-lutional neural networks (ConvNets) has proven to be superior to hand-crafted low-level features. Thus, this study investigates the effect of fusing such high-level features from multi-deep ConvNets under an application of visual object/scene categorization. In which, three pre-trained ConvNets are exploited as feature extractors, a single hidden...
This paper presents a new technique using animated texts as the speech features' visualization medium for checking and detecting language learners' pronunciation. The proposed visualization tool will transform learners' speech features such as pitch, tempo or rhythm into animated texts form, and the mispronounce parts can be located by comparing them with the correct sample. In our previous experiments,...
Timely and robust diagnosis of plant diseases and nutrient deficiencies play a major role in management of crop yield. Automation is a low cost alternative to human experts and can help to detect early onset of crop diseases which aids faster decision making and in giving recommendations to farmers to curb yield loss. We have developed a smart-phone based participatory sensing application for agriculture...
There is a particular interest and a broad consensus in developing reliable, fast, easy to use and inexpensive specimen identification methods that reduce stress and injuries produced by traditional marking methods. Picture based identification methods use unique natural tags or spots to identify specimens. This works presents some Digital Image Processing techniques for the identification of melanophryniscus...
Similarity rank lists provide a method for learning generalization of classifiers from examples. Here, we apply it to invariant object recognition and demonstrate that it performs better than other approaches on view and illumination invariant recognition. Recognition from a single view reaches 87% success rate. To study its real world capabilities we introduce subsqare rank matching that works on...
The paper presents deriving of shape asymmetry measure in the dermatological sense (DASMShape). The skin lesion symmetry consists of three factors: shape, hue/color and structure. We analyze the shape asymmetry and on its basis we propose a new asymmetry degree realized in several ways. DASMShape methods verification and comparison is performed using PH2 database. The results received after optimization...
This paper describes a project concerning human recognition based on athlete numbers and their face detection. In daily life many people are training and participating in marathons, competitions or do sports like soccer. For that they wear t-shirts with a serial number that denotes their identity. For that detection of athlete numbers makes peoples life easier by collecting the data faster and automatically...
This paper proposes a design support system to make a room design with freshness and originality impression suitable for user's requirement interior styles. The proposed system supports to create the design plan through two steps: Creation process and Selection process. In the creation process, the system generates various design ideas by using several style furniture. In the selection process, the...
Designing a biometrie system based solely on skin texture is of interest because the face is sometimes oeeluded by hair or artefacts in many real-world contexts. This work presents a novel framework for the assessment of skin-based biometric systems incorporating skin quality information. The quality or purity of the extracted skin region is automatically established using pixel colour models prior...
Visualization of the micro video big data refers to the intuitive display of the obtained data on micro videos across the Internet for the purpose of helping users to understand the message in the data. This paper describes the implementation of a micro video big data visualization system in detail, which has four steps: determine the visualization objective, choose data based on the objective, display...
Many animal species exist in this world and there are always new species being discovered each year. Therefore, it is very important that these valuable species be documented properly to be referred to in future. Numerous information retrieval systems for managing and documenting animal species today only allow users to search animal images and descriptions online via text-based input. Therefore,...
We studied the problem of classifying textured-materials from their single-imaged appearance, under general viewing and illumination conditions, using the theory of random matrices. To evaluate the performance of our algorithm, two distinct databases of images were used: The CUReT database and our database of colorectal polyp images collected from patients undergoing colon capsule endoscopy for early...
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