Abstract: The present invention describes a method and the system for matching fingerprint images obtained from different fingerprint image capturing devices and implemented in an electronic device. Specifically, the method has steps of identifying minutiae and then identifying core point of the fingerprint images. Thereafter, a line of symmetry is determined and minutiae are identified by matching ridge count, location angle and orientation angle of a first image of the fingerprint images with a second image of the fingerprint images is identified. Thereafter, prominent minutiae from the candidate minutiae having three adjacent minutiae with same local structure are identified. Out of scope minutiae are eliminated by non-linear registration of fingerprint images based on ridge-count and position angle.

Abstract: A method and system for performing email search, the said method comprising of enabling the user to find relations between emails and build network relations and to further retrieve groups based on the relations (and intersections of relations) as per the user's choice; the system comprising of giving and having the user select predetermined options for a search with a further ability to “drill-down” the results with the aid of filters to view further mails/results, and being also able to search on search results and also provide for storing user searches.

Abstract: A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.

Abstract: A network inference and validation engine is presented which combines data of different types into a network associations' inference and performs validation of existing networks based on constraints from several data sets or previously known linkages. The engine would assist scientists to integrate information from various sources into a network of association, validate previously known associations against the supplied constraint data sets and prune or modify existing connections based on subsequent experiments.