Methods for linking individuals across historical data sets, typically in combination with AI based transcription models, are developing rapidly. Probably the single most important identifier is personal names. However, names prone to enumeration and errors although modern methods designed handle such challenges these sources of critical should be minimized. For this purpose, improved large-sca...

Handwritten character recognition is the ability of a Computer to receive and interpret handwritten input. Computers may find difficultly in deciphering many kinds of printed characters which is of different fonts and styles or handwritten characters. This paper focuses on the recognition of handwritten Malayalam characters. The proposed system consists of image acquisition, preprocessing, segm...

For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer pa...

Handwritten recognition (HWR) is the ability of a computer to receive and interpret intelligible handwritten input from source such as paper documents, photographs, touchscreens and other devices. In this paper we will using three (3) classification to recognize the handwritten which is SVM, KNN and Neural Network. Keywords—Handwritten recognition; SVM; K-Nearest Neighbor; Neural Network;

The handwritten character recognition system using fuzzy wavelet is modelled using Very High Speed Hardware Description Language (VHDL). The fuzzy wavelet handwritten recognition is a system based on human perception. The time-frequency localization capabilities of wavelet transform in feature extraction enhances the accuracy of recognition at pixel level. The characteristic features of handwri...

An iris based biometric recognition system provides identification of an individual based on a unique feature or characteristic possessed by that individual. Iris recognition is consider as the most reliable and accurate biometric identification system. In this paper we explore the performance of the iris based recognition system. We take iris image of ten different people and after segmentatio...

An off-line handwritten alphabetical character recognition system using multilayer feed forward neural network is described in the paper. A new method, called, diagonal based feature extraction is introduced for extracting the features of the handwritten alphabets. Fifty data sets, each containing 26 alphabets written by various people, are used for training the neural network and 570 different...