نتایج جستجو برای: images text
تعداد نتایج: 419376 فیلتر نتایج به سال:
OCR makes it possible for the user to edit or search the document’s contents. In this paper we describe a special water fill technique for detecting the upside down text document. Each character has a upside and downside filling capacities. A character may have two sides or one side filling capacity or zero filling capacity. The total upside and downside capacities for the scanned page calculat...
We present an image retrieval system for finding textured objects by text query. The algorithm considers each image as a set of independent segments. It learns the relationship of segments features with text from a training set of images where a set of segments is manually labeled. The algorithm is capable of generating text labels from a segment and finding images that are relevant to a query ...
Many document images are rich in color and have complex background. To detect text from them, a standard approach utilizes both color and binary information. This often leads to time-consuming processing and requires a lot of parameters to be tuned. In contrast, we propose a new method for text detection using a binary image alone. The main virtues of our method include detection of both normal...
The rapid growth in communication technology has led to the development of effective ways of sharing ideas and information in the form of speech and images. Understanding this information has become an important research issue and drawn the attention of many researchers. Text in a digital image contains much important information regarding the scene. Detecting and extracting this text is a diff...
Recent work has shown that it is possible to take brain images acquired during viewing of a scene and reconstruct an approximation of the scene from those images. Here we show that it is also possible to generate text about the mental content reflected in brain images. We began with images collected as participants read names of concrete items (e.g., "Apartment'') while also seeing line drawing...
In this paper we present a new approach for text line segmentation that works directly on gray-scale document images. Our algorithm constructs distance transform directly on the gray-scale images, which is used to compute two types of seams: medial seams and separating seams. A medial seam is a chain of pixels that crosses the text area of a text line and a separating seam is a path that passes...
Recent work has shown that it is possible to take brain images of a subject acquired while they saw a scene and reconstruct an approximation of that scene from the images. Here we show that it is also possible to generate text from brain images. We began with images collected as participants read names of objects (e.g., “Apartment”). Without accessing information about the object viewed for an ...
Text segmentation from land map images is a non-trivial task as map components are interleaved and overlapped in a complex spatial form. The characters in a word in most of the Indic languages, including Bangla (the 6th most spoken language in the world), are connected through a headline (”matra” or ”shirorekha”) which makes the corresponding word a single component. It has been observed that t...
Text extraction in an image is a challenging task in the computer vision. Text extraction plays an important role in providing useful and valuable information. This paper discusses various approaches such as Adaptive Local Connectivity Map (ALCM), Expectation Maximization (EM), Maximization Likelihood (ML), Markov Random Field (MRF), Spiral Run Length Smearing Algorithm (SRLSA), Curvelet transf...
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