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ACKNOWLEDGEMENT

There are several to whom we owe a sincere debt of gratitude. First and

foremost we would like to express our heartiest gratitude to faculty guide,Mr. Davesh Kr. Sharma for giving us the golden opportunity to pursue our

final year project titled Text Extraction from Images which is submitted

to the Department of Computer Science and Engineering,

Vishveshwarya Institute of Engineering and Technology, GB Nagar, in

partial fulfillment of the requirement for the award of the degree of

Bachelor of Technology in Computer Science and Engineering

(CSE). We are thankful for their significant and unmatched contribution

and help towards this project.

We take this rarest of the rare chance to thank Vishveshwarya Institute of

Engineering and Technology, GB Nagar for giving us the opportunity to let

us complete our final year project under such a globally competitive

exposure and hence giving us the necessary experience for our ever

developing career.

Finally we are thankful to our parents and friends, for giving us constant

inspiration and providing us with the opportunities to continue our studies.

Dated: Rohit Chauhan 0909610090

Raghav Singh 0909610084

Shivam 0909610099

Vivekanand Ojha 0909610118

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ABSTRACT

Text data present in images and video contain useful information for

automatic annotation, indexing, and structuring of images. Extraction of thisinformation involves detection, localization, tracking, extraction,

enhancement, and recognition of the text from a given image. However,

variations of text due to differences in size, style, orientation, and alignment,

as well as low image contrast and complex background make the problem of

automatic text extraction extremely challenging. Text extraction requires

binarization, which leads to loss of significant information contained in gray

scale images. The images may contain noise and have complex structure,

which makes the extraction more difficult. While comprehensive surveys of

related problems such as face detection, document analysis, and image &

video indexing can be found, the problem of text information extraction is

not well surveyed.

In computer vision, Segmentation is the process of partitioning a digital

image into multiple segments (sets ofpixels, also known as super pixels).

The result of image segmentation is a set of segments that collectively cover

the entire image, or a set ofcontours extracted from the image (see edge

detection). Each of the pixels in a region is similar with respect to some

characteristic or computed property, such as color, intensity,

ortexture. Adjacent regions are significantly different with respect to the

same characteristic(s). When applied to a stack of images, typical in medical

imaging, the resulting contours after image segmentation can be used to

create 3D reconstructions with the help of interpolation algorithms

like Marching cubes.

http://en.wikipedia.org/wiki/Computer_visionhttp://en.wikipedia.org/wiki/Digital_imagehttp://en.wikipedia.org/wiki/Digital_imagehttp://en.wikipedia.org/wiki/Image_segmenthttp://en.wikipedia.org/wiki/Set_(mathematics)http://en.wikipedia.org/wiki/Pixelhttp://en.wikipedia.org/wiki/Contour_linehttp://en.wikipedia.org/wiki/Edge_detectionhttp://en.wikipedia.org/wiki/Edge_detectionhttp://en.wikipedia.org/wiki/Colorhttp://en.wikipedia.org/wiki/Luminous_intensityhttp://en.wikipedia.org/wiki/Image_texturehttp://en.wikipedia.org/wiki/Adjacenthttp://en.wikipedia.org/wiki/Medical_imaginghttp://en.wikipedia.org/wiki/Medical_imaginghttp://en.wikipedia.org/wiki/Marching_cubeshttp://en.wikipedia.org/wiki/Marching_cubeshttp://en.wikipedia.org/wiki/Medical_imaginghttp://en.wikipedia.org/wiki/Medical_imaginghttp://en.wikipedia.org/wiki/Adjacenthttp://en.wikipedia.org/wiki/Image_texturehttp://en.wikipedia.org/wiki/Luminous_intensityhttp://en.wikipedia.org/wiki/Colorhttp://en.wikipedia.org/wiki/Edge_detectionhttp://en.wikipedia.org/wiki/Edge_detectionhttp://en.wikipedia.org/wiki/Contour_linehttp://en.wikipedia.org/wiki/Pixelhttp://en.wikipedia.org/wiki/Set_(mathematics)http://en.wikipedia.org/wiki/Image_segmenthttp://en.wikipedia.org/wiki/Digital_imagehttp://en.wikipedia.org/wiki/Digital_imagehttp://en.wikipedia.org/wiki/Computer_vision