Shamik Tiwari

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A neural network classification based noise identification method is presented by isolating some representative noise samples, and extracting their statistical features for noise type identification. The isolation of representative noise samples is achieved using prevalent used image filters whereas noise identification is performed using statistical(More)
The role of biliary deoxycholate as an endogenous carcinogen and the possible association between cholelithiasis and the subsequent development of carcinoma of the gall bladder is unclear. This paper describes biliary bile acid analysis performed on three groups of patients, 10 with cholelithiasis, 10 with carcinoma of the gall bladder and 10 control(More)
This paper presents feature extraction and classification of multiclass images by using Haar wavelet transform and back propagation neural network. The wavelet features are extracted from original texture images and corresponding complementary images. The features are made up of different combinations of sub-band images, which offer better discriminating(More)
The biometrics is the study of physical traits or behavioral characteristics of human include items such as finger prints, face, hand geometry, gait, keystrokes, voice and iris. Among the biometrics, iris has highly accurate and reliable characteristics. An iris has unique structure and it remains stable over a person life time. Iris recognition is one of(More)
The edges provide important visual information since they correspond to major physical and geometrical variations in scene object. Edge detection is a terminology in image processing that refers to algorithms which aim at identifying edges in an image. In this paper a Feedforward Neural Network (FNN) based algorithm is proposed to detect edges in gray scale(More)
Texts detection from image or complex colored document is a very challenging problem. Text in images and videos contain useful information. There is a significant need to extract and analyze the text in images on Web documents, for effective indexing, semantic analysis and searching. The extraction of text information is very important because texts contain(More)
In this paper a classification for natural images is proposed using hybrid features. The objective of this paper is to develop an image content based classifier, which can perform identity check of a natural image. Here we have extracted wavelet and color features from a captured natural image to classify out of three groups. The developed technique is able(More)