[PDF] Top 20 Title: Mobile Application with Optical Character Recognition Using Neural Network

... Neural networks are particularly useful for solving problems that cannot be expressed as a series of steps, such as recognition patterns, classifying into groups, series prediction and data ...The ... See full document

... Abstract— Optical Character Recognition by using Neural Network is a prototype system that is useful to recognize the ...the recognition to be accurate, which transforms ... See full document

... TOptical character recognition or optical character per user, frequently curtailed as OCR, is the mechanical or electronic conversion of pictures of composed, written by hand or printed ... See full document

... a neural network is 'trained' to a satisfactory level it may be used as an analytical tool on other ...the network to work in forward propagation mode ...a neural network, which means ... See full document

... These two aspects make handwritten characters extremely variable. Observing that the different writing styles or individual writing style of each writer is very important problem in handwritten recognition. The ... See full document

... Convolutional Neural Network (CNN) is a revolutionary and dramatic change in the field of neural networks, and it has helped computer scientists achieve astounding improvement in lowering the error ... See full document

... Optical Character Recognition (OCR) refers to identifying printed characters as digitally recognizable form (such as ASCII) ...(by using text-to-speech algorithms), the advantages are ... See full document

... Handwritten character recognition is an intelligent optical character recognition capable of handling the complexity of writing, writing environment, materials, ...Artificial ... See full document

... Pattern Recognition is one of important and vast fields of computer intelligence, which focuses on the recognition of patterns and regularities of ...pattern recognition can be looked as ... See full document

... Handwritten Character Recognition, usually abbreviated to HCR, is the mechanical or electronic translation of images of handwritten document into machine-editable ...particular application area is ... See full document

... This paper focuses on an application that performs Kannada OCR (Optical Character Recognition) in hand held devices. The objective is to make use of the visual capabilities of the built in ... See full document

... text recognition has been attempted by many different ...for recognition of standard fonts, but gives poor performance with hand written ...And recognition is done by finding distance of feature ... See full document

... than using the webcam. This can open up a lot of possibilities as mobile can be carried and can cover different ...from mobile being up-close can provide a clearer and more readable number plate for ... See full document

... crucial space. it's a method to scan document and create the document editable. OCR field is extremely standard in business world and banking industries. OCR system converts the text image in machine-encoded kind that ... See full document

... One of the techniques used in shape recognition is elastic matching distance. Here we use a binary-valued image X on the square lattice S as an example. The value of X at pixel belonging to S is denoted X(s). The ... See full document

... There are several methods for feature extraction [7][8][9]. Here, Zone and count metric based feature extraction algorithm is used. The image (character/numeral) is divided into thirty five (10px*10 px) equal ... See full document

... [8], as of late, the change of human-PC collaboration (HCI) procedures is fast and the run of the mill application is the signal communication innovation. This paper proposes a supportive and lively unique signal ... See full document

... Kannada content has substantial number of character set. This may decrease the acknowledgment precision and increment the computational expense. To maintain a strategic distance from this issue a calculation has ... See full document

... a Neural Network based on the Convolutional Neural ...Analysis using a confusion ...a network. The accuracies obtained using such a network are 95 on ...a character ... See full document

... handwritten recognition and to choose the best technique for the accuracy of the ...of application of handwritten recognition can be seen in bank cheques checking process, document reading, and ... See full document