DTW and Voting-Based Lip Print Recognition System

Part 4: Biometric ApplicationsInternational audienceThis paper presents a method of lip print comparison and recognition. In the first stage the appropriate lip print features are extracted. Lip prints can be captured by police departments. Traces from lips may also found at a crime scene. The approach uses the well known DTW algorithm and Copeland vote counting method. Tests were conducted on 120 lip print images. The results obtained are very promising and suggest that the proposed recognition method can be introduced into professional forensic identification systems

Lip traces recognition based on lines pattern

This paper presents a method for automatic lip traces recognition based on lip furrows arrangement. First, lip trace is scanned and subjected to image processing and feature extraction. Then, identification is performed by comparing lip trace characteristics with a collection of comparative lip prints characteristics stored in a database. The proposed solution gives a satisfactory level of identification accuracy. After further improvement, it can be used as part of a system performing analysis of traces recovered from crime scenes

The BICS — Advanced Method of the Electronic Ship Reporting for the RIS Centre

The article presents principles of transmission and processing of the data in electronic reporting of river ships used in inland navigation. The new standard of electronic reporting of ships was shown — system Barge Information and Communication System (BICS). Results and analysis of surveys of real duplex transmission of data in BICS system for purpose of RIS Centre were presented

The lip print recognition using Hough transform

This paper presents the new method of lip print recognition. Lip print analysis is based on sulcus-topology features manifested on human lips. The structure of the characteristic lip lines is transformed to a digital image and classified using the Hough transformation. The proposed algorithm gives good level of recognition accuracy and can be used in biometric applications and applied in forensic services

Combined off-line type signature recognition method

In this paper the off-line type signature analysis have been presented. The signature recognition is composed of some features. Different influences of such features were tested and stated. Proposed approach gives good signature recognition level, hence described method can be used in many areas, for example in biometric authentication, as biometric computer protection or as method of the analysis of person's behaviour changes