Sentence examples for recognition methodology from inspiring English sources

The recognition methodology relies on extracting shape descriptors from contours of ligature images.

Sensor technology demands to design a sensing system having higher sensitivity, sufficient selectivity, fast response time and efficient reproducibility with simple operating and recognition methodology.

Firstly, we present the details of a chemical entity recognition methodology that has demonstrated performance at a competitive, if not superior, level as that of state-of-the-art methods.

The detection algorithm follows a pattern recognition methodology steps as follows: Step 1: Segmentation: different regions are found and isolated from the rest of the X-ray image using a watershed algorithm and morphological operations (erosion and dilation).

The objective of this study was to develop an automated segmentation and recognition methodology, from inertial sensor data, to identify tasks and motor patterns during activities of daily living.

For that reason this paper proposes an intelligent feature recognition methodology (IFRM) to develop a feature recognition system which has the ability to communicate with various CAD/CAM systems.

Therefore, standard pattern recognition methodologies, which involve feature extraction and classification, are used to solve the task [7].

We present a comprehensive performance study of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery.

Given the diversity of the existing approaches, the main objective of this paper is to present a comprehensive, in-depth comparative analysis of the recent face recognition methodologies based on local descriptors.

We outlined in Section 5 that novel opportunistic activity recognition methodologies (e.g., those explored in the centralized opportunity framework) may also be included in the logic of Titan to allow it to autonomously exploit dynamically discovered sensing services, in addition to the current dynamic use of processing services.

Though we evaluated only GEI-based methods in order to compare gait recognition methodologies, there are many gait features that can be used for input images, such as DeepGait [41], CGI (chrono-gait image) [42], and FDF (frequency-domain feature) [43].