Offline Handwritten Hindi Numerals Recognition using Zernike Moments
Feature selection mechanism plays a vital role in attaining higher recognition rate in machine based character recognition systems. Zernike moments and Zernike complex moments are found to be very beneficial as a basic tool to generate shape descriptors of a digital image, as they are capable of representing image features efficiently. These moments have been successfully utilized to solve some of the image processing problems and possess the property of rotation invariance which is a desirable aspect in many applications requiring a proficient offline character recognition system. This paper is devoted for inspecting the efficacy of Zernike moments and Zernike complex moments for offline Hindi numerals recognition. Feature vectors consisting of Zernike moments and Zernike complex moments are supplied to the resilient backpropagation neural network for training and different strategies are considered for the performance evaluation of these moments in the study. Character recognition rate of approx. 80.8% and 94.8% is attained through Zernike moments and Zernike complex moments, respectively, which establishes the supremacy of Zernike complex moments over Zernike moments for offline Hindi numerals character recognition.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.