Effective Computational Tool for the Segmentation of Images from a Printed Document

Used for converting documents to electronic files, scanners are a useful way of reducing paper-based filing.

Digital Photography has become one of the most simplified and effective way of capturing and using the images. Digital images are very high in quality and also with the ease of viewing, editing and transferring it to any computers or mobile devices making it a very cost effective way of managing the images (Kornhaber, Betihavas, & Baber, 2015).

is advanced scanners, that can trace ink pattern and whats in side of mail without even opening

The scanner is used to scan paper documents and put them onto the computer so

Scanners: They are used to convert a document or image into an electronic file that can be used and stored on a computer, Sometime scanners are part of a printer but usually scanners that are the most efficient are small scanners that can be attached to a computer through an USB cable they can scan single sided or double sided documents very fast. They can scan in colour or in black and white. Scanners are essential when a company needs to keep hard copy of their files in law firm in a medical environment or in an accountancy department.

Some more advanced methods combine Top-down and bottom-up philosophy. More specificcaly [15] Et al proposed a new text line location and separation algorithm for complex handwritten documents that is based on the application of a fuzzy directional runlength. Intuitively, the fuzzy runlength at a pixel is how far we can see from standing at the pixel along horizontal direction, by skipping some foreground pixels until a threshold (20 to 25 pixels). A horizontal fuzzy runlength map is generated by scanning every row from left to right, and right to left and keeping the fuzzy runlegth at each pixel. The fuzzy runlength map is then binarized to expose the location of text items that are part of text lines. Finally using a heuristic approach text items are grouped into text lines based on their

In accession to the binary images, the proposed method may be tested on discrete color images also. These type of

The goal of the feature extraction and selection is to reduce the dimension of the data. In this experiment the dimension of the AVIRIS and HYDICE images reduced to 20 from 220 and 191 respectively using PCA. From the PCA analysis we can see that image of principal component 1 is brightest and sharpest than other PCA image which is illustrated in figure-2.

Scanners to scan documents digitally, which once scanned can be stored in a computer, emailed or printed;

The basic principle of this algorithm is to recognize the input paper currency. First of all acquired the image from a particular source. As in this thesis we use for reference images. System read the particular image. Then resize the image. After that the color separator convert the image into RGB to Gray scale and then in binary image. After that the system use color noise median filter. The currency length detector detects the length of the currency. Using the feature extraction techniques the system detect the particular feature of that currency and then the system use pattern matching algorithm to math that particular feature. The input image match with particular database image and according to that we find the currency. In this way this thesis design a automatic system in which we can recognized the paper currency.

Automatic Number Plate Recognition (ANPR) was firstly introduced in 1976 and gained much popularity during the last decade along with the improvement of digital cameras. ANPR is an image processing technology which allows extracting vehicle license plate number from digital camera images. It consists of a camera

The number plates are varied from one and another such as different material use for number plate, blur captured image and the image is skew. Based on the results showed in table 4.6, the different types of material and blur image can be segment using bounding box without any distortions. The number plate used different types of material than actual material. The character and the background of number plate is very shinning and it is the modified number plate where the actual height is 5cm. Some of the number plate fails to recognize due to the luminance condition or problematic background of number plates Bounding box method manage to detect the height character and gives correct output in previous

Optical character recognition is the method or process of detection and translation of the printed or written document into an electronic data document and is usually used in data processing systems. Such recognitions requires definite hardware and software tools which can translate the data. [19]

How will they be scanned? How will they be organized in the book? My family history book will have pictures in it. I will use a scanner to scan in my photos. They will be organized according to generations.

The picture of the vehicle whose number plate is to be distinguished is caught utilizing the advance camera. Next the number plate is removed by right of the bat changing over rgb image I.e., the caught picture to gray scale image with the specific goal to encourage the plate extraction, and increment the handling speed. Shading picture is produced by advance camera is changed over to dim scale picture utilizing. The essential