We present an off-line cursive word recognition system based completely on neural networks: reading models and models of early visual processing. The first stage (normalization) preprocesses the input image in order to reduce letter position uncertainty; the second stage (feature extraction) is based on the feedforward model of orientation selectivity; the third stage (letter pre-recognition) i...

due to variation in economic value of different varieties of rice, reports indicating the possibility of mixing different varieties on the market. applying image processing and neural networks techniques to classify rice varieties is a method which can increase the accuracy of the classification process in real applications. in this study, several morphological features of rice seeds’ images we...

recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognition has assigned a special place to itself. In principle, the biometric identification methods include a wide range of sciences such as machine vision, image processing, pattern recognition neural networks and has various app...

Convolutional neural networks (CNNs) were popular in ImageNet large scale visual recognition competition (ILSVRC 2012) because of their identification ability and computational efficiency. This paper proposes a palm vein method based on CNN. The four main steps are image acquisition, preprocessing, feature extraction, matching. To reduce the processing images, using CNN is proposed. deep learni...

|A hierarchical neural architecture for image interpretation is proposed that is based on image pyramids and cellular neural networks and that is inspired by the principles of information processing found in the visual cortex. Algorithms for this architecture are de ned in terms of local interactions of processing elements and utilize horizontal as well as vertical feedback loops. The goal is t...

AbdmctA hierarchical neural architecture for image interpretation is proposed that is based on image pyramids and cellular neural networks and that is inspired by the principles of information processing found in the visual cortex. Algorithms for this architecture are defined in terms of local interactions of processing elements and utilize horizontal as well as vertical feedback loops. The goa...

In this paper, a face recognition system for personal identification and verification using Principal Component Analysis (PCA) with Modified Back Propagation Neural Networks (MBPNN) is proposed. The dimensionality of face image is reduced by the PCA and the recognition is done by the MBPNN. The system consists of a database of a set of facial patterns for each individual. The characteristic fea...