Dynamic Zoning Selection for Handwritten Character Recognition

Abstract

This paper presents a two-level based character recognition method in which a dynamically selection of the most promising zoning scheme for feature extraction allows us to obtain interesting results for character recognition. The first level consists of a conventional neural network and a look-up-table that is used to suggest the best zoning scheme for a given unknown character. The information provided by the first level drives the second level in the selection of the appropriate feature extraction method and the corresponding class-modular neural network. The experimental protocol has shown significant recognition rates for handwritten characters (from 80.82% to 88.13%).

Efficient Vehicle Detection System using OCR and REST API

“…The region of interests was extracted using edge statistics, morphology and connected component analysis. Babu et al [7], presented a feature based approach for license plate recognition of Indian number plates wherein the images were pre-processed to improve the image quality and were processed using median filters for noise reduction.Hirabara et al [8],presented a two level based character recognition method using dynamic zoning selection scheme for feature extraction technique .Aradhya et al [9],proposed a multilingual character recognition system by combining the PCA method and Fourier transform and which is compared with conventional PCA method.Agrawal et al [10], presented the design of automatic license plate recognition using raspberry pi.This system uses a camera along with the LCD display circuit interfaced to a raspberry pi.Hui Wu [11], proposed a method to find horizontal and vertical difference to find exact rectangle with vehicle number.Donoser et al [12], introduced a real time framework that enable detection, tracking and recognition of license plates from video sequences. Their detection algorithm is based on the analysis of a maximally stable external region detection that differentiates the region of interest on the basis of intensity of the region as against the boundary of the region.…”