One of the first step in the realization of an automatic system of check recognition is the extraction of the handwritten area. We propose in this paper an hybrid method to extract these areas. This method is based on digit recognition by Fourier descriptors and different steps of colored image processing . It requires the bank recognition of its code which is located in the check marking band ...

Due to digitalization in everyday life, the need for automatically recognizing handwritten digits is increasing. Handwritten digit recognition essential numerous applications various industries. Bengali ranks fifth largest language world with 265 million speakers (Native and non-native combined) 4 percent of population speaks Bengali. complexity writing terms variety shape, size, style, researc...

The recognition of handwritten Bangla digit is providing significant progress on optical character (OCR). It a very critical task due to the similar pattern and alignment handwriting digits. With modern research recognition, it reducing complexity classification by several methods, few problems encounter during wait be solved with simpler methods. emerging field artificial intelligence Deep Neu...

Several neural network paradigms are discussed and their application to the recognition of handwritten digits is considered. In particular, linear auto-associative systems, threshold logic networks, backward error propagation models, Hopfield networks, and Boltzmann machines are considered. An explanation of each technique is presented and its application to dipt recognition is discussed. The t...

Classification techniques strive to use features selectively to provide an optimal balance between classification accuracy and robustness. In traditional classification, all the classes in the n-class problem are equally important and the classification method tries to provide the best possible separation between all classes. Recent advances in classification termed active classification make s...

In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on two SVM (Support Vector Machine) classifiers performing classification task on two feature families referenced as structural and statistical features. The obtained results show that it is difficult to exceed the recogni...

We present an application of back-propagation networks to handwritten digit recognition. Minimal preprocessing of the data was required, but architecture of the network was highly constrained and speciically designed for the task. The input of the network consists of normalized images of isolated digits. The method has 1% error rate and about a 9% reject rate on zipcode digits provided by the U...