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Character recognition lies at the core of the discipline of pattern recognition where the aim is to represent a sequence of characters taken from an alphabet [ Document image analysis: a primer. Sadhana 27 (Part 1), 3–22]. Though many kinds of features have been developed and their test performances on standard database have been reported, there is still(More)
Recent years have witnessed researchers paying enormous attention to design efficient multi-modal biometric systems because of their ability to withstand spoof attacks. Single biometric sometimes fails to extract adequate information for verifying the identity of a person [7]. On the other hand, by combining multiple modalities, enhanced performance(More)
The performance of a character recognition system depends heavily on what features are being used. Though many kinds of features have been developed and their test performances on standard database have been reported, there is still room to improve the recognition rate by developing improved features. In this paper, we propose a novel system based on radon(More)
This paper presents a simple and novel no reference filter based rules for Boolean blur metric (FBBM) to classify the blurred images from the database of home photos. Our primary goal of this paper is to classify the blurred images rather than measuring degree of blurness in the image or deblur an image. Thus the name given to this approach is Boolean blur(More)
Contemporary society is highly networked and thus biometrics based surveillance has paramount importance for various security based reasons. The automatic, remote and robot vision based system are being deployed in a large way [11, 12]. The success of these schemes is highly dependent on robust algorithms for both face and object recognition. In this paper,(More)