000			01515nam a22002177a 4500
003			OSt
005			20220107122853.0
008			190711b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aNayana Uday (41718006) _916168
245			_aCalibration of blurred text in images using deep learning techniques
300			_aMPhil CS 2018-2019
500			_aText in an image carries a high level of information for humanity. These texts have an important role in the computer vision application. In recent years, the rapid development of machine learning and deep learning, in uence the applications of computer vision and document analysis topics. All the previously proposed methods use dierent algorithms to detect text in images; however, they suer from poor performance while performing detection in blurred images. The proposed method capable of handling blurred text detection and recognition in images. It is an automatic end to end system to recognize the blurred text in images. It has two stages, rst is the detection of text in an image using an object detection method. In the second step, it segments the text area and recognizes it using hybrid CNN and LSTM method. It acquires 92% accuracy in detection and 93% accuracy in the recognition phase.
502			_bMPhil CS _c2018-2019 _dINT _eDr Elizabeth Sherly
650			_aBLURRED TEXT _916169
650			_aDEEP LEARNING _916170
650			_aOBJECT DETECTION _916171
650			_aCNN _916172
650			_aLSTM _916173
942			_2ddc _cPR
999			_c6569 _d6569