FACLSTM: ConvLSTM with focused attention for scene text recognition
نویسندگان
چکیده
منابع مشابه
Scene Text Recognition with Bilateral Regression
This paper focuses on improving the recognition of text in images of natural scenes, such as storefront signs or street signs. This is a difficult problem due to lighting conditions, variation in font shape and color, and complex backgrounds. We present a word recognition system that addresses these difficulties using an innovative technique to extract and recognize foreground text in an image....
متن کاملSTAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition
In this paper, we present a novel SpaTial Attention Residue Network (STAR-Net) for recognising scene texts. Our STAR-Net is equipped with a spatial attention mechanism which employs a spatial transformer to remove the distortions of texts in natural images. This allows the subsequent feature extractor to focus on the rectified text region without being sidetracked by the distortions. Our STAR-N...
متن کاملObject Attention Patches for Text Detection and Recognition in Scene Images using SIFT
Natural urban scene images contain many problems for character recognition such as luminance noise, varying font styles or cluttered backgrounds. Detecting and recognizing text in a natural scene is a difficult problem. Several techniques have been proposed to overcome these problems. These are, however, usually based on a bottom-up scheme, which provides a lot of false positives, false negativ...
متن کاملReading Scene Text with Attention Convolutional Sequence Modeling
Reading text in the wild is a challenging task in the field of computer vision. Existing approaches mainly adopted Connectionist Temporal Classification (CTC) or Attention models based on Recurrent Neural Network (RNN), which is computationally expensive and hard to train. In this paper, we present an end-to-end Attention Convolutional Network for scene text recognition. Firstly, instead of RNN...
متن کاملTowards Text Recognition in Natural Scene Images
In this paper, we propose a novel methodology for text detection in natural scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully processes natural scene images having shadows, non-uniform illumination, low contrast and large signaldependent noise. Conn...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2020
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-019-2713-1