Calibration of blurred text in images using deep learning techniques (Record no. 6569)

MARC details
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fixed length control field 01515nam a22002177a 4500
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control field 20220107122853.0
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fixed length control field 190711b xxu||||| |||| 00| 0 eng d
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Transcribing agency IIITMK
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Personal name Nayana Uday (41718006)
9 (RLIN) 16168
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Title Calibration of blurred text in images using deep learning techniques
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Extent MPhil CS 2018-2019
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General note 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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Degree type MPhil CS
Name of granting institution 2018-2019
Year degree granted INT
-- Dr Elizabeth Sherly
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Topical term or geographic name entry element BLURRED TEXT
9 (RLIN) 16169
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Topical term or geographic name entry element DEEP LEARNING
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Topical term or geographic name entry element OBJECT DETECTION
9 (RLIN) 16171
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Topical term or geographic name entry element CNN
9 (RLIN) 16172
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Topical term or geographic name entry element LSTM
9 (RLIN) 16173
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    Dewey Decimal Classification     Non Fiction IIITM-K Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre   11/07/2019   R-1573 11/07/2019 11/07/2019 Project Reports