نتایج جستجو برای: text line detection
تعداد نتایج: 1105421 فیلتر نتایج به سال:
Text line segmentation is an important step because inaccurately segmented text lines will cause errors in the recognition stage.. The nature of handwriting makes the process of text line segmentation very challenging. Text characteristics can vary in font, size, orientation, alignment, color, contrast, and background information. These variations turn the process of word detection complex and ...
Text line detection is crucial for any application associated with Automatic Text Recognition or Keyword Spotting. Modern algorithms perform good on well-established datasets since they either comprise clean data or simple/homogeneous page layouts. We have collected and annotated 2036 archival document images from different locations and time periods. The dataset contains varying page layouts a...
Traditional text detection methods mostly focus on quadrangle text. In this study we propose a novel method named sliding line point regression (SLPR) in order to detect arbitrary-shape text in natural scene. SLPR regresses multiple points on the edge of text line and then utilizes these points to sketch the outlines of the text. The proposed SLPR can be adapted to many object detection archite...
Text line segmentation is an essential pre-processing stage for handwriting recognition in many Optical Character Recognition (OCR) systems. It is an important step because inaccurately segmented text lines will cause errors in the recognition stage. Text line segmentation of the handwritten documents is still one of the most complicated problems in developing a reliable OCR. The nature of hand...
image recognition is one of the most important field in image processing that in recent decades had much attention .due to expansion of related fields with image processing and various application of this science in machine vision, military science, geography, aerospace and artificial intelligence and lots of other aspects, out stand the importance of this subject.one of the most important aspe...
-This paper proposes a computationally efficient procedure for skew detection and text line position determination in digitized documents, which is based on the cross-correlation between the pixels of vertical lines in a document. The determination of the skew angle in documents is essential in optical character recognition systems. Due to the text skew, each horizontal text line intersects a p...
Variations in inter-line gaps and skewed or curled text-lines are some of the challenging issues in segmentation of handwritten text-lines. Moreover, overlapping and touching text-lines that frequently appear in unconstrained handwritten text documents significantly increase segmentation complexities. In this paper, we propose a novel approach for unconstrained handwritten text-line segmentatio...
Video text detection plays an important role in applications such as semantic-based video analysis, text information retrieval, archiving and so on. In this paper, we propose a Farsi/Arabic text detection approach. First, with an appropriate edge detector, edges are extracted and then by using edges cross ponts, artificial corners are extracted. Artificial corner histogram analysis is done for ...
In this paper, we propose a book dewarping model based on the assumption that the book surface is warped as a cylinder. This model extends the model proposed by Cao and makes Cao’s model a special case of our model. This extension removes the constraint of Cao’s model that the camera lens must be strictly parallel to the book surface, which is hard to make in practice, therefore enables a user ...
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