Automated location identification system using text and image data

The process of recognizing of text from image is considered as a difficult task in the image processing. Text recognition is an important task of computer vision because it is inclusion of the success of certain applications in computer vision. A number of algorithm and system has been put forward but still a challenging task because of illumination changes, background subtraction & occlusion. The character/text recognition applications in OCR domain are becoming popular. Content based image processing which involves the complexity of extracting the text from the images. The character recognition in natural scene images is one of the part of forensic crime detection area which is been widely used in detecting the places based on characters/text present in the images. Characters are gradually extracted from the images using the information of segmentation and recognition. Different methodologies being used such as data acquisition, pre processing, feature extraction identification and classification. Before these methods can be used, the source material must be scanned using a scanner to read in the page. Software to recognize the images is also required .There are many factors such as noise, various font sizes, broken lines or characters, quality of the image, and the exposure of the image to the light problems in segmentation that influence recognition process and also extracting the text from the complex background images.