{"title":"Improved fingerprint identification using directional filter banks","authors":"M. A. Khan, M.K. Khan, M. A. Khan","doi":"10.1109/INMIC.2003.1416614","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416614","url":null,"abstract":"In the finger print area, the majority of approaches are based on bitwise directional analysis. However, several approaches employ filter-based directional analysis (Sarbadhikari, S. et al., 1998; Sherlock, B.G., 1994; Hong, L. et al., 1998). The directional image can be thought of as an image transform, where each pixel of an image represents a direction of the local gray level uniformity. The statistics derived from the directional image are used for segmentation of the original image. The method is suited for simple images like fingerprints and other images that consist of only a background and a foreground. The directional image is partitioned into \"homogenous\" connected regions according to the fingerprint topology, thus giving a synthetic representation which can be exploited as a basis for classification. We provide a fingerprint enhancement approach based on \"directional filter banks\". A fingerprint image is decomposed into eight directional images and cleaned. Once the eight directional images are cleaned, the final enhanced image is obtained by combining the cleaned directional images","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"28 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120912595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimum window-size computation for moment based texture segmentation","authors":"N. Qaiser, M. Hussain","doi":"10.1109/INMIC.2003.1416610","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416610","url":null,"abstract":"The quality of texture segmentation depends on extracted features. Most statistical feature extraction techniques require an optimum region size, called a window, to capture a better texture feature. The literature shows that window-size selection is primarily done by visual inspection based on experience or trial and error. The paper investigates the issue and attempts to formulate a framework based on the established technique of Fourier analysis to automate the optimum window size computation and feature weight selection. Fourier data in polar form has been used for computing the optimum window size and then for generation of the weighted feature space. Clustering using competitive neural networks when applied to moment features extracted using an optimized window shows good results","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"59 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120915111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Urdu collation sequence","authors":"S. Hussain, N. Karamat","doi":"10.1109/INMIC.2003.1416755","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416755","url":null,"abstract":"This work presents problems in Urdu collation sequences and proposed solutions by experts of Urdu. Key issues regarding Urdu collation sequences on which the major dictionaries differ are presented and a unanimous solution by the experts on these issues is also presented. This effort will make possible a standard Urdu collation sequence and make advanced data processing possible for Urdu.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel Wiener sub-band processing schemes for binaural adaptive speech-enhancement","authors":"M. Hussain, S. Squartini, F. Piazza","doi":"10.1109/INMIC.2003.1416606","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416606","url":null,"abstract":"A novel application of Wiener filtering is proposed for processing band-limited noisy signals in a binaural adaptive speech-enhancement scheme. Two different Weiner filtering based implementations have been developed, both with the aim of further reducing residual incoherent noise components resulting from application of conventional adaptive sub-band noise cancellers. Initial comparative results achieved in simulation experiments using real anechoic speech corrupted with simulated interference demonstrate that the proposed binaural sub-band schemes employing Wiener filtering are capable of significantly outperforming conventional wideband and sub-band noise-cancellation methods","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125909850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Generation-recombination noise characteristics of GaAs MESFETs","authors":"M. Iqbal, S. Khan","doi":"10.1109/INMIC.2003.1416694","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416694","url":null,"abstract":"Low frequency noise measurements were carried out using MESFET devices at different frequency and temperature ranges. The spectra obtained in the ohmic regime are due to several 1/f and generation-recombination (g-r) noise components. This method can be used as a diagnostic tool to model the nature of the time varying process and to uncover the location of the deep traps. Different trap levels were detected and the drain/gate current noise suggested as good indicators of quality of a MESFET. The theory predicts the experimentally observed trend of g-r noise dependence on both gate and drain voltages. The device structure as well as the materials from which it is composed influenced the properties of traps","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computational modeling of accelerating corrosion in primary coolants of a typical PWR","authors":"M. Raflique, N. M. Mirza, S. Mirza","doi":"10.1109/INMIC.2003.1416775","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416775","url":null,"abstract":"High temperature and pressure environment along with large neutron and gamma-ray flux lead to significantly large corrosion in the stainless steel used in the primary coolant circuit of pressurized water reactors (PWRs). The corrosion products become activated in the reactor core upon circulation. Corrosion rate depends on reactor power and it can be a linear as well as a nonlinear function of time. Computer simulation offers a novel approach to study the effect of corrosion acceleration on coolant activity under transient conditions. We present two related mathematical models for corrosion acceleration under high temperature and flow rate transient conditions. In the first part of the work, we have formulated a mathematical model based on a system of coupled first order ordinary differential equations governing the isotopic concentration. In the second part, flow rate transients have been forced through non-homogeneous conditions. Numerical simulations show that for Na-24, Mn-56, Fe-59, Co-60 and Mo-99, the values of specific activities approach the equilibrium value fairly rapidly under normal operating conditions. Spikes are observed in the specific activity values of the primary coolant when corrosion acceleration and flow rate transients are employed in the model. Both the height and time of these spikes has been found to depend on the value of acceleration in corrosion.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134193627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Normalization of object-oriented design","authors":"F. Lodhi, H. Mehdi","doi":"10.1109/INMIC.2003.1416768","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416768","url":null,"abstract":"The object-oriented approach does not follow any formal design process and is mostly ad hoc in nature. This makes it more of an art than a science. The quality of the resultant design therefore depends to a large extent on the skills of the individual designer and cannot be evaluated easily. We believe that the theory of normalization, available to the designer of relational database systems, can also be applied to object-oriented design. This paper outlines the process of application of the theory of normalization to object-oriented design and shows that, if applied properly, it rids the design process from the aforementioned problems and yields a better object model by bringing formalism and taking a scientific approach.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gender classification using discrete cosine transformation: a comparison of different classifiers","authors":"A. Majid, A. Khan, A. M. Mirza","doi":"10.1109/INMIC.2003.1416616","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416616","url":null,"abstract":"We have investigated the problem of gender classification using a library of four hundred standard frontal facial images employing five classifiers, namely k-means, k-nearest neighbors, linear discriminant analysis (LDA), Mahalanobis distance based (MDB) classifiers and our modified KNN classifier. The image data independent discrete cosine transformation (DCT) basis is used for facial feature extraction. Areas under the convex hull (AUCH) of the classifiers are measured by varying the values of threshold for each feature subset in the receiver operating characteristics (ROC) curve. The scalar values of AUCH of the ROC curve increases with increasing number of features. More features yield a better representation of the gender facial image. The overall performance of classifiers is compared with different values of AUCH versus features under different conditions. It has been observed that when the number of features is increased beyond 5, AUCH starts to saturate. Our experimental results demonstrate that modified-KNN performs better than the rest of the conventional classifiers under all conditions. The LDA classifier did not perform well in the DCT domain; however, it gradually improved its performance with increasing number of features","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133641953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stability analysis of a new non-linear pole-zero placement controller incorporating neural networks","authors":"A. Zayed, Amir Hussain","doi":"10.1109/INMIC.2003.1416731","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416731","url":null,"abstract":"The stability analysis and parameter convergence of a newly reported self-tuning pole-zero placement controller algorithm for non-linear dynamic systems are studied. The original controller overcomes the shortcomings of other linear designs and provides an adaptive mechanism, which ensures that both the closed-loop poles and zeros are placed at their prespecified positions. The closed loop system stability and the parameter convergence are derived by assuming that the reference signal is bounded and the process non-linearity is globally bounded.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133662485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"VLSI architecture of supplemental enhancement information module and modified quantization module for H.263+ video codec","authors":"G. Raja, U. Farooq, H. Jamal","doi":"10.1109/INMIC.2003.1416665","DOIUrl":"https://doi.org/10.1109/INMIC.2003.1416665","url":null,"abstract":"In this work, VLSI architecture of H.263+ video codec is described. H.263+ has 12 negotiable modes to increase the error resilience and improve the coding performance. Our implementation is concentrated with two of the modules i.e. supplemental enhancement information (SEI) module and modified quantization (MQ) module. In the SEI module, an adaptive threshold algorithm is proposed that can select the pictures with low coding quality and can freeze them. The MQ module is implemented by adding a logic circuit to the variable length coding (VLC) and control module.","PeriodicalId":253329,"journal":{"name":"7th International Multi Topic Conference, 2003. INMIC 2003.","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123837829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}