The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
To solve the problem of training rate decline in neural network caused by too much noise in the traditional image, a new method of expression recognition based on CNN was proposed. First, in order to narrow the face range, face image could be detected from the original image by using the AdaBoost cascade classifier. Then, the coordinates of the eye, mouth and other key parts and brow, nasolabial and...
Gender recognition from face images is a challenging problem with applications in various knowledge domains, such as biometrics, security and surveillance, human-computer interaction, among others. In this work, we propose and evaluate a novel method for gender recognition based on a geometric descriptor constructed from a pre-defined face shape model. The proposed approach, tested on four different...
Aiming at the problem that the reading speed of pointer instruments is slow and the precision is low, this paper proposes a new automatic reading algorithm. The paper improves the algorithm in instrument center recognition, pointer recognition and 0 scale line recognition. First, round-degree is used to recognize the instrument center. Then the algorithm removes the interferential images outside the...
We present hierarchical multi-feature classification (HMC) system for multiclass fruit recognition problem. Our approach to HMC exploits the advantages of combining multimodal features and the fruit hierarchy property. In the construction of hybrid features, we take the advantage of using color feature in the fruit recognition problem and combine it with 3D shape feature of depth channel of RGBD (Red,...
Interest point detection is one of the key technologies in image processing and target recognition. This paper presents a new method for detecting interest points in digital images and computer vision problems based on complex network theory. We associate a directed and weighted complex network model to each image and then we propose three different algorithms to locate these key points based on three...
This paper proposes a novel shape feature extractor named Contour-SIFT along with a matching method that computes the similarity between two set of proposed descriptors. It allows a shape to be recognized based on automatically located outstanding local features on its contour, which are extracted from 1-D signal representations of different smoothing scales. The algorithm describes each local feature...
Herbal medicines can be used in treating health conditions under qualified medical observation. Various advantages are perceived by many consumers as being associated with using herbal medicines compared to conventional pharmaceutical products, such as the reduced risk of side effects, effectiveness with chronic conditions, lower cost and large availability, although robust evidence supporting such...
Pollen granules are one of the most stable microstructures of herbal flowers, and their ektexines possess strong anti-acid, anti-base and anti-biolysis properties. Therefore, the microstructures of pollen granules are not destroyed during storage, manufacturing and the production of different preparations. The shapes, sizes and colors of pollen granules are different in different families, genera...
In view of the assembly process characteristic of non-silicon flat micro parts in MEMS devices, a micro assembly control system is developed based on an established experimental platform. According to the characteristics of the micro parts, micro parts recognition and positioning method is studied, and a new matching algorithm based on shape template is proposed, then an identification module has...
Place recognition is widely used in the loop closure detection in SLAM. The current approach to place recognition is based on RGB images, but there are relatively few place recognition studies using a point cloud. This study presents the place recognition method based on the surface graph. The proposed method clusters the surfaces in the point cloud and recognizes a place through a surface descriptor...
Nowadays, image processing is getting more popular due to the daily increase of diverse data acquisition methods such as digital scanners and cameras. Due to the high volume of archived documents, automatic document classification methods can help to save the time and space in digital document organization. Logos in official and business documents are used to identify document identities. Different...
Machine vision has become popular in new manufacturing industries, where image classification and recognition algorithms are useful for many production processes. However, they have limitations. If the image of the product is unclear, for example because of the shape of the product, it is very difficult to correctly classify or recognize the product. This paper proposes a new technique to improve...
Image classification and recognition algorithms are useful for industrial manufacturing processes; however, the algorithms have limitations. If the products have no special features, images may be unclear. Then, it is difficult to correctly classify or recognize a product using traditional algorithms. Therefore, this paper proposes a technique to enhance a recognition algorithm by using additional...
Automatic identification and recognition of medicinal plant species in environments such as forests, mountains and dense regions is necessary to know about their existence. In recent years, plant species recognition is carried out based on the shape, geometry and texture of various plant parts such as leaves, stem, flowers etc. Flower based plant species identification systems are widely used. While...
The detection and matching of logos have widely attention for the document images retrieval projects. In this paper an automatic effective logo matching has been developed and applied to different Arabic documents. The proposed technique based on matching between logos by using two types of significant features. The first is region based feature which represent the global features of an object. This...
Plants play an important role in Earth's ecology by providing sustenance, shelter and maintaining a healthy atmosphere. Some of these plants have important medicinal properties. Automatic recognition of plant leaf is a challenging problem in the area of computer vision. An efficient Ayurvedic plant leaf recognition system will beneficial to many sectors of society which include medicinal field botanic...
The main objective of presenting this context is to identify and verify the quality of the seed for future fertilization in the field of agriculture. This research paper proposes a novel image processing technique that includes two phases depicts an optimized selection of feature extraction and classification algorithm that enhances the quality, exactness of the seed variety and realization of the...
There are countless plant species available globally. To manage massive content, development of a fast and effective categorization methods has turned into a territory of dynamic research. As trees and plants are very important to ecology, accurate Identification and classification becomes necessary. Classification procedure is carried out through number of sub procedures. An identification or Classification...
This paper deals with privacy protection in video surveillance. More specifically, the main goal of this work is to make the gender of people no more recognizable while preserving enough information concerning body shape and motion of people for action classification. We denote this processing as de-genderization. Regarding the current state-of-art methods, most of them have privacy filters only dedicated...
A human can read the other party's emotion through his/her face, and an eye is the most important factor to deliver emotion. By extracting eyes from a person in a picture, and applying them to a character, the character having eyes suitable for a video direction situation can be created, and emotion can be effectively delivered. This study suggested a system that can create fairy tale's characters...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.