Image Processing :: OCR Captcha Facial Recognition

AbstractThis paper is about a selected few public figure treat applications. optic Character Recognition is the translation of images of handwritten, typewritten or printed schoolbook into machine-editable text. Then I have introduced the captcha that we so frequently encounter in common websites. An algorithm trying to solve or break a captcha has been explained. Face detection is a growing and an important tool in security these days. It must be applied before face quotation. in that respect are many methods for recognizing faces and a few of them are discussed in the paper. contentTopicPg No movie ProcessingOptical fictitious point of reference fruitionCaptchaBraking CaptchaFace DetectionAlgorithm for Face DetectionReferences public figure touch onImage processing is any form of signal processing for which the enter is an image, such(prenominal) as photographs or frames of video the output of image processing can be either an image or a bent grass of characterist ics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.Typical OperationsAmong many other(a) image processing operations areGeometric transformation such as enlargement, reduction, and rotationColor corrections such as chicness and contrast adjustments, quantization, or conversion to a different color seatDigital compositing or optical compositing (combination of two or more images). Interpolation, demosaicing, and recuperation of a full image from a raw image format.Image editing (e.g., to increase the quality of a digital image)Image differencing (to lay out changes between images)Image registration (alignment of two or more images)Image stabilizationImage segmentation(partitioning a digital image into multiple regions)Extending self-propelling range by combining differently exposed images2-D object recognition with affine invarianceOptical charac ter recognitionOptical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of images of handwritten, typewritten or printed text (usually captured by a scanner) into machine-editable text.OCR is a field of question in pattern recognition, artificial intelligence and machine vision. Though academic research in the field continues, the focus on OCR has shifted to implementation of proven techniques. Optical character recognition (using optical techniques such as mirrors and lenses) and digital character recognition (using scanners and computer algorithms) were originally considered separate fields. Because very few applications exist that use true optical techniques, the OCR term has in a flash been broadened to include digital image processing as well.Early systems required training (the preparation of known samples of each character) to read a specific font. Intelligent systems with a high degree of recognition accuracy for most fonts ar e now common.