In this paper the role of the frame length on the computation of Mel Frequency Cepstral Coefficients (MFCCs) is investigated in a text-dependent speaker verification system. The variations of vocal characteristics of subjects along the time and the related information conveyed in the MFCCs cause a significant degradation on verification performance. In our experiments we tested the use of diffe...

This paper describes algorithms for face and facial features detection in still frontal images. It is designed for the task of automatic image-based 3-D face modelling. This requires the detection to be accurate enough to produce exact facial features and robust to images of widely varying quality and picture taking conditions. The facial feature detection task is solved in several steps. First...

An approach based on fractal is presented for extracting affine invariant features. Central projection transformation is employed to reduce the dimensionality of the original input pattern, and general contour (GC) of the pattern is derived. Affine invariant features cannot be extracted from GC directly due to shearing. To address this problem, a group of curves (which are called shift curves) ...

8

Region growing algorithm has successfully been used as a segmentation technique of digital images. The current study went one step further by utilizing the potential use of thresholding the region growing algorithm as features extraction technique. The proposed features extraction algorithm is called seeded region growing features extraction (SRGFE). This algorithm was used to extract four feat...

This paper presents a robust lane marking detection algorithm suited for a large variety of traffic scenarios, under various lighting conditions. The algorithm detects dark-light-dark transitions using an improved method for horizontal gradient computation, which accounts for the expected marking width and for the perspective effect by means of a variable size filter. The computation of the var...

Pattern recognition have been a topic of active research during the 30 years, due to the high performance that these schemes presents, when they have been used in the solution of many practical problems in several fields of science, medicine and engineering. The efficiency of pattern recognition algorithms strongly depends in an accurate features extraction scheme that be able to represent the ...

In this paper, we propose a novel approach for keyword extraction. Different from previous keyword extraction methods, which identify keywords based on the document alone, this approach introduces Wikipedia knowledge and document genre to extract keywords from the document. Keyword extraction is accomplished by a classification model utilizing not only traditional word based features but also f...

In this contribution, we show how to encode in a convenient and compact way information from images with so called functional graphical models. Those models permit to represent in a coherent mathematical framework features such as interest points , simply connected curves such as line and conic segments, connected regions of homogeneous properties, and compound features such as lines and line p...

The Palmprint verification is a process of verifying the identity of the applicants. It performs one to one comparison between a newly input Palm print and the Palm print for the claimed identity that is stored in the database. In this paper, convolution filter and feature extraction using NI Vision Assistant 2009 has been used for detection. The feature extraction is templates of different siz...