Detecting and reading text in natural images also referred to as Scene Text or text in the wild has been a central problem in scene understanding with applications ranging from helping visually impaired people navigate city scenes to product search and retrieval and instant translation.

What is scene text recognition. Many new proposals for scene text recognition STR models have been introduced in recent years. This space is learned by Structed SVM Hare et al. There are two parts of it first scene text detection and second is scene text recognition.

The most common way in scene text reading is to divide it into text detection and text recognition which are handled as two separate tasks. In this One of the problem statement is Scene Text detection and Recognition has become popular in the area of Computer Vision. Therefore automatic reading text from natural environments.

Scene text recognition STR task has a common prac-tice. EAST Efficient Accurate Scene Text Detector It is a fast and accurate scene text detection method and consists of two stages. This paper addresses this difficulty with three major contributions.

The text recognition is equivalent to finding the closest word label in this space when given a word im-age. For handwritten or artistic texts that are diffi- cult to generate synthetically and for. Deep learning based approaches become dominate in both.

Considering scene image has large variation in text and background we further design a modality-transform block to effectively transform 2D input images to 1D sequences combined with the encoder to extract more discriminative features. Rodriguez-SerranoPerronninandMeylan2013proposed to embed word labels and word images into a common Eu-clidean space. Scene text detection is the process of predicting the presence of text and localizing each instance if any usually at word or line level in natural scenes.

Reading text in natural scenes referred to as scene text recognition STR has been an important task in a wide range of industrial applications. Scene texts contain rich semantic information which may be used in many vision-based applications and consequently detecting and recognizing scene texts have received increasing attention in recent years. Reading text in natural scenes referred to as scene text recognition STR has been an important task in a wide range of industrial applications.