Add to ORKGCloud print services supports photo/document printing, scan to email and smart apps to print/scan. This disclosure provides a solution to detect and correct orientation of images with Deep Learning. Convolutional neural network solves the problem of angle detection of an image in the context of determining the correct orientation. A solution is proposed to automatically detect rotated angle and correct the orientation, namely, portrait, and landscape of document images. The algorithm should be able to detect orientation with high accuracy while handling document images. The accuracy on the current dataset is about 85%
Automated detection of image orientation has previously been studied as an important problem in inte...
Abstract — Orientation detection is an important preprocess-ing step for accurate recognition of tex...
Convolutional neural networks (CNNs) have outperformed most state-of-the-art methods in object detec...
Automatically detecting the canonical orientation of images based on their visual content is an esse...
Abstract. Rectifying the orientation of scanned documents has been an important problem that was sol...
In document image recognition, orientation detection of the scanned page is necessary for the follow...
Matching images containing large viewpoint and viewing direction changes, resulting in large perspec...
none4noIn this paper we deal with the problem of accurately and automatically detecting the orientat...
abstract: 91% of smartphone and tablet users experience a problem with their device screen being ori...
Detection of text orientation in document images is of preliminary concern prior to processing of do...
Inside-out optical 2D tracking of tangible objects on a surface oftentimes uses a high-resolution pa...
Recently, Convolutional Neural Network (CNN) based approaches have achieved impressive single image ...
Monocular object orientation estimation or estimating the 3D orientation of an object given a single...
In this paper, we propose a novel method for automatic orientation of digital images. The approach i...
Handwriting recognition is a study of Optical Character Recognition (OCR) which has a high level of ...
Automated detection of image orientation has previously been studied as an important problem in inte...
Abstract — Orientation detection is an important preprocess-ing step for accurate recognition of tex...
Convolutional neural networks (CNNs) have outperformed most state-of-the-art methods in object detec...
Automatically detecting the canonical orientation of images based on their visual content is an esse...
Abstract. Rectifying the orientation of scanned documents has been an important problem that was sol...
In document image recognition, orientation detection of the scanned page is necessary for the follow...
Matching images containing large viewpoint and viewing direction changes, resulting in large perspec...
none4noIn this paper we deal with the problem of accurately and automatically detecting the orientat...
abstract: 91% of smartphone and tablet users experience a problem with their device screen being ori...
Detection of text orientation in document images is of preliminary concern prior to processing of do...
Inside-out optical 2D tracking of tangible objects on a surface oftentimes uses a high-resolution pa...
Recently, Convolutional Neural Network (CNN) based approaches have achieved impressive single image ...
Monocular object orientation estimation or estimating the 3D orientation of an object given a single...
In this paper, we propose a novel method for automatic orientation of digital images. The approach i...
Handwriting recognition is a study of Optical Character Recognition (OCR) which has a high level of ...
Automated detection of image orientation has previously been studied as an important problem in inte...
Abstract — Orientation detection is an important preprocess-ing step for accurate recognition of tex...
Convolutional neural networks (CNNs) have outperformed most state-of-the-art methods in object detec...