Dayashankar Singh

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Neural Networks are being used for character recognition from last many years but most of the works were reported to English character recognition. Character recognition is one of the applications of pattern recognition, which has enormous scientific and practical interest. Many scientific efforts have been dedicated to pattern recognition problems and much(More)
In this paper, we have applied a new feature extraction technique to calculate only twelve directional feature inputs depending upon the gradients. Features extracted from handwritten characters are directions of pixels with respect to their neighboring pixels. These inputs are given to a back propagation neural network with one hidden layer and one output(More)
This paper presents a simple and efficient approach for the implementation of Optical Character Recognition and translation of scanned images of printed text into machine-encoded text. It makes use of four different image analysis phases followed by image detection via multi layer back propagation neural network. This paper also describes scanning the(More)
Fingerprint identification system is mainly consisted of fingerprint achieving, fingerprint classification and fingerprint matching. Fingerprint matching is the key to the system and effects on the precision and efficiency of the whole system directly. Fingerprints are matched mainly based on their fingerprint texture pattern which can be described with the(More)
The Request-to-Send and Clear-to-Send (RTS/CTS) mechanism was introduced to minimize the collisions due to "Hidden Nodes" in wireless networks. It tried well to solve this problem over Carrier Sense Multiple Access (CSMA), but it gave rise to some more problems. These problems are "Exposed Node Problem", "False Blocking Problem" and "Masked Node Problem".(More)
In this paper, a new approach of disk scheduling has been proposed to improve the throughput of modern storage device. After the invention of disk with movable head, researchers are making efforts continuously to improve the I/O performance by implementing many intelligent scheduling algorithms of disk accesses. Speeds of processor and memory capacity have(More)
In this paper, Radial Basis Function (RBF) neural Network has been implemented on eight directional values of gradient features for handwritten Hindi character recognition. The character recognition system was trained by using different samples in different handwritings collected of various people of different age groups. The Radial Basis Function network(More)
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(More)
The purpose of this paper is to carry out study on delay minimization techniques of data transmission, which is a major Quality-of-service (QoS) parameter in Mobile ad-hoc network (MANET). Various algorithms that are given in the study of previous investigators have been considered and analyzed and a tabulated summary work has been carried out. Related(More)