Natural Scene Text Understanding.pdf

Natural Scene Text Understanding PDF

Céline Mancas-Thillou

In a society driven by visual information and with the drastic expansion of low-priced cameras, text recognition is nowadays a fast changing field. In particular, natural scene text understanding aiming at extracting text from daily images is the main concern of this text. From text extraction to correction of recognition errors, each sub-step is deeply studied to enhance versatility for handling most images, even the most complex ones. Either in color camera-based images or in low resolution thumbnails, inherent degradations, such as complex backgrounds, artistic fonts, uneven lighting or unsatisfactory resolution, must be taken into account. In order to circumvent or correct them, studies of image formation and degradation sources challengingly led to overcome too constrained definitions of color spaces. Hence the selective metric text extraction attempts to combine magnitude and directional processing of colors in an unsupervised framework. Text extraction from background is simultaneously linked to subsequent steps of character segmentation and recognition. This intermingled chain mainly aims at combining color, intensity and spatial information of pixels for robustness and accuracy. Each of these features addresses different issues

Vol. 3, Issue 1, January 2015 Text Extraction from Natural ... KEYWORDS: Scene Text Extraction, Character Stroke Orientation, Smart Phone Application I. INTRODUCTION Extracting text from images or videos is an important problem in many applications like document processing, image indexing, video content summary, video retrieval, video understanding. In natural scene images and videos, text

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Natural Scene Text Understanding.pdf

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Sofya Voigtuh

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Mattio Müllers

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