In this paper, we present a new neural network (NN) based method for optical character recognition (OCR) as well as handwritten character recognition (HCR). Experimental results show that our proposed method achieves increased accuracy in optical character recognition as well as handwritten character recognition. We present through an overview of existing handwritten character recognition techn...

Handwritten recognition have been a main research subject in pattern recognition for over thirty years. The application of handwritten character recognition is broad. Typical uses include recognition of handwritten zip codes and reading personal bank checks. The recognition of handwritten characters, like other problems in pattern recognition, consists of two major problems: feature selection a...

A multimodal biometric authentication system based on plastic surgery face image using text dependent speech signal is described in this paper. In addition, the system is designed to keep the rate as high as possible for the plastic surgery face image by using text dependent speech signal. Each module of the system, i.e. the face and speech, is developed separately and fusion is done at matchin...

A multimodal biometric authentication system based on plastic surgery face image using text dependent speech signal is described in this paper. In addition, the system is designed to keep the rate as high as possible for the plastic surgery face image by using text dependent speech signal. Each module of the system, i.e. the face and speech, is developed separately and fusion is done at matchin...

CONTRIBUTIONS TO BIOMETRIC RECOGNITION: MATCHING IDENTICAL TWINS AND LATENT FINGERPRINTS

State of The Art in Handwritten Digit Recognition Pooja Agrawal Department of Computer Science, SVITS, Indore, Madhya Pradesh, INDIA Prof. Anand Rajavat Department of Computer Science, SVITS, Indore, Madhya Pradesh, INDIA RGPV/SVITS Indore Sanwer Road, Gram Baroli, Alwasa, Indore, Madhya Pradesh, INDIA ______________________________________________________________________________________ Abstra...

Handwriting recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous applications that includes, reading aid for blind, bank cheques and conversion of any hand written document into structural text form. Neural Network (NN) with its inherent learning ability offers promising solutions for handwritten characte...

Development of a Character recognition system for Devnagri is difficult because (i) there are about 350 basic, modified (“matra”) and compound character shapes in the script and (ii) the characters in a words are topologically connected. Here focus is on the recognition of offline handwritten Hindi characters that can be used in common applications like bank cheques, commercial forms, governmen...