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This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled with Markov chains, and a Multilayer Perceptron is used to estimate the emission probabilities. This paper also presents new techniques to remove slope and slant from handwritten text...
State-of-the-art pattern recognition methods have difficulties dealing with problems where the dimension of the output space is large. In this article, we propose a framework based on deep architectures (e. g. deep neural networks) in order to deal with this issue. Deep architectures have proven to be efficient for high dimensional input problems such as image classification, due to their ability...
Video segmentation has been and is likely to be an important component of the content-based video acquisition and retrieval systems. In this paper, we have proposed an video segmentation technique that uses Kohonanpsilas self organizing map (SOM) neural network for segmentation of color videos. It has been observed that, SOM training if performed on the wavelet-transformed video, not only reduces...
This paper presents an over-segmentation and validation strategy for off-line cursive handwriting recognition. Over-segmentation module is employed to find all the possible character boundaries. Then, the incorrect segmentation points from over-segmenting module are removed by validating processes. The over-segmentation was performed based on the vertical pixel density between upper and lower baselines...
Optimizing vision processing is crucial for real-time performance of robots in RoboCuppsilas small-size league (SSL). We describe in this paper our current approach to improve visual processing in ITAMpsilas Eagle Knights SSL team. We describe our use of a neural network to classify camera image pixels to a discrete set of color classes that is robust under different light conditions. We show how...
The main problem with iris biometric identification systems is the presence of noises in the image of the eye (eyelid, eyelashes, etc...). To remove it many authors apply appropriate preprocessing to the image, but unfortunately this yields losses of information. Our work aims at correctly recognizing the subject also in presence of high rates of noise. The basic idea is that of partitioning the image...
In degraded scanned documents, where considerable background noise or variation in contrast and illumination exists, pixels may not be easily classified as foreground or background pixels. Thus, the need to perform document binarization in order to enhance the document image by separating foregrounds (text) from backgrounds. A new approach that combines a global thresholding method and a supervised...
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