Intelligent Text Extraction System for Complex Images [ READ ]
Rosy K. Philip, Gopu Darsan
The Intelligent text extraction system automatically identifies and extracts the text present in different types of images. The growth of digital world Detection and extraction of text regions in an image are well known problems in the area of image processing. The growth of digital world and the usage of multimedia generated a new era with a classic problem of pattern recognition. Thus Automatic text extraction from images and videos serves an important role in indexing and efficient retrieval of multimedia. The existing techniques such as region based , texture based techniques for the text extraction are not able to compact with all the applications of text extraction. The proposed Intelligent Text Extraction system automatically identifies and extracts the text present in different types of images. The system consists of different stages which include the localization, segmentation, extraction and recognition of text from the images. In the proposed system we use the discrete wavelet transform for the localization of text. The morphological operations are used which enhances the identification of correct text portions. The text part is segmented and is recognized using an efficient system. The advantage of the system is that the extracted text is shown in the .txt file. The proposed system also allows the modification of the recognized text from the image. This method shows better efficiency , precision and recall compared to the existing techniques. This shows the possibility of using this technique in more new and advanced applications.
Rosy K. Philip, Gopu Darsan
The Intelligent text extraction system automatically identifies and extracts the text present in different types of images. The growth of digital world Detection and extraction of text regions in an image are well known problems in the area of image processing. The growth of digital world and the usage of multimedia generated a new era with a classic problem of pattern recognition. Thus Automatic text extraction from images and videos serves an important role in indexing and efficient retrieval of multimedia. The existing techniques such as region based , texture based techniques for the text extraction are not able to compact with all the applications of text extraction. The proposed Intelligent Text Extraction system automatically identifies and extracts the text present in different types of images. The system consists of different stages which include the localization, segmentation, extraction and recognition of text from the images. In the proposed system we use the discrete wavelet transform for the localization of text. The morphological operations are used which enhances the identification of correct text portions. The text part is segmented and is recognized using an efficient system. The advantage of the system is that the extracted text is shown in the .txt file. The proposed system also allows the modification of the recognized text from the image. This method shows better efficiency , precision and recall compared to the existing techniques. This shows the possibility of using this technique in more new and advanced applications.
