Nayana Uday (41718006) <br/><br/>
Calibration of blurred text in images using deep learning techniques 

 - MPhil CS 2018-2019 
<br/><br/> Text in an image carries a high level of information for humanity. These texts have an<br/>important role in the computer vision application. In recent years, the rapid development<br/>of machine learning and deep learning, in<br/>uence the applications of computer vision and<br/>document analysis topics. All the previously proposed methods use dierent algorithms<br/>to detect text in images; however, they suer from poor performance while performing<br/>detection in blurred images. The proposed method capable of handling blurred text<br/>detection and recognition in images. It is an automatic end to end system to recognize the<br/>blurred text in images. It has two stages, rst is the detection of text in an image using<br/>an object detection method. In the second step, it segments the text area and recognizes<br/>it using hybrid CNN and LSTM method. It acquires 92% accuracy in detection and 93%<br/>accuracy in the recognition phase. 
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<br/><br/><label>Subjects--Topical Terms: </label><br/>BLURRED TEXT<br/>DEEP LEARNING<br/>OBJECT DETECTION<br/>CNN<br/>LSTM