A new method for text localization in cover color pages and general color document images is presented. The colors of the document image are reduced to a small number using a color reduction technique based on a Kohonen Self Organized Map (KSOM) neural network. Each color defines a color plane in which the connected components (CCs) are extracted. In each color plane a CC filtering procedure is...

We consider the continuous wavelet transform [Formula: see text] associated with the Weinstein operator. We introduce the notion of localization operators for [Formula: see text]. In particular, we prove the boundedness and compactness of localization operators associated with the continuous wavelet transform. Next, we analyze the concentration of [Formula: see text] on sets of finite measure. ...

A study of word-fragments in spoken French has been undertaken for a few years on the basis of non directive talks corpora recorded and transcribed according to GARS’conventions (DELIC currently). These disfluencies are often analyzed within the framework of disfluent repetitions. The observations made on these two types of disfluencies led us to distinguish them. The aim of our study is to des...

This article presents SLAM, an Automatic Solver for Lexical Metaphors like “déshabiller* une pomme” (to undress* an apple). SLAM calculates a conventional solution for these productions. To carry on it, SLAM has to intersect the paradigmatic axis of the metaphorical verb “déshabiller*”, where “peler” (“to peel”) comes closer, with a syntagmatic axis that comes from a corpus where “peler une pom...

This article presents SLAM, an Automatic Solver for Lexical Metaphors like “déshabiller* une pomme” (to undress* an apple). SLAM calculates a conventional solution for these productions. To carry on it, SLAM has to intersect the paradigmatic axis of the metaphorical verb “déshabiller*”, where “peler” (“to peel”) comes closer, with a syntagmatic axis that comes from a corpus where “peler une pom...

Localization is one of the most important issues in mobile robotics, especially when an autonomous robot performs a navigation task. The current and popular occupancy grid map, based on 2D LiDar simultaneous localization mapping (SLAM), suitable easy for path planning, adaptive Monte Carlo (AMCL) method can realize rooms indoor environments. However, conventional fails to locate there are simil...

In this paper, we propose a skeleton matching based approach which aids in text localization in scene images. The input image is preprocessed and segmented into blocks using connected component analysis. We obtain the skeleton of the segmented block using morphology based approach. The skeletonized images are compared with the trained templates in the database to categorize into text and non-te...

We propose a novel method for text localization in low illumination images with complicated background scenes. Low illumination image, complex background and variations of text script make text localization problem challenging. The proposed method use density-based information and rectangle window in the residual edge image. The proposed method firstly is color space conversion from RGB to Ycbc...

We propose a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily life. To isolate the object from untidy backgrounds or other surrounding objects in the camera vision, we initially propose an efficient and effective motion based method to define a region of interest (ROI) in the video by asking the user...

<p>Localizing and recognizing arbitrarily oriented text in natural scene images is the biggest challenge. It because texts are often erratic shapes. This paper presents a simple effective graph representational algorithm for detecting arbitrary-oriented location to smoothen recognition process of its high impact simplicity representation. An can be horizontal, vertical, perspective, curve...