INTELLEGENT APPROACH FOR OFFLINE SIGNATURE VERIFICATION USING CHAINCODE AND ENERGY FEATURE EXTRACTION ON MULTICORE PROCESSOR
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 2015, Vol 4, Issue 4
Abstract
The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identification. A number of biometric techniques have been proposed for personal identification in the past. Among the vision-based ones are voice recognition, iris scanning and retina scanning, fingerprint recognition, face recognition. Signature verification are the most widely known among the non-vision based ones. As signatures continue to play a very important role in financial, legal transactions and commercial, in truly secured authentication becomes more and more crucial. However human signatures can be handled as an image and recognized using computer vision and neural network techniques. There are various approaches to signature recognition with a lot of scope of research. In this paper consists of image prepossessing, parallel process, feature extraction, verification and neural network training with extracted features. A verification stage includes applying the extracted features of test signature to a trained neural network which will classify it as a genuine or forged. In this paper, offline signature recognition & verification using neural network is proposed. Signatures are verified based on parameters extracted from the signature using parallel processing techniques.
Authors and Affiliations
Raju Pawar , Prof. Roopali Soni
A Survey on Modern Era’s Online Object Tracking Algorithms
Object tracking finds many practical applications ranging from robotics, surveillance, augmented reality to computer interaction, the state-of-the- art is still far from achieving results comparable to human perf...
SOIL ENZYMES AND CHARACTERISTICS
For understanding the structure and the functions of soil ecosystem, the analysis of soil microorganisms’ population and the factors affecting their activities are important. For this purpose, the soil enzymes: ar...
DETERMINING SOUND ABSORBTION COEFFICIENT OF NATURAL FIBER REINFORCED POLYPROPYLENE COMPOSITES
Natural fibers are those include those produced by plants, animals and geological process around the surroundings of living organisms. They are mainly degradable throughout their life cycle. The former are mainly...
Novel Algorithm for Iris Biometrics Using Fast Wavelet Transforms
Iris recognition is a potential tool in secure personal identification and authentication system which has the properties such as uniqueness, non-invasiveness and stability of human iris patterns. The method propo...
A Survey Based on Opinion Classification Techniques
The essential one is to collect the information as what the people think forever. Nowadays people can share everything in online Social network such as twitter, facebook. .People articulates their views and opinions reg...