A Study on Automatic Latent Fingerprint Identification System

Latent fingerprints are the unintentional impressions found at the crime scenes and are considered crucial evidence in criminal identification. Law enforcement and forensic agencies have been using latent fingerprints as testimony in courts. However, since the latent fingerprints are accidentally leftover on different surfaces, the lifted prints look inferior. Therefore, a tremendous amount of research is being carried out in automatic latent fingerprint identification to improve the overall fingerprint recognition performance. As a result, there is an ever-growing demand to develop reliable and robust systems. In this regard, we present a comprehensive literature review of the existing methods utilized in latent fingerprint acquisition, segmentation, quality assessment, enhancement, feature extraction, and matching steps. Later, we provide insight into different benchmark latent datasets available to perform research in this area. Our study highlights various research challenges and gaps by performing detailed analysis on the existing state-of-the-art segmentation, enhancement, extraction, and matching approaches to strengthen the research

Unmanned Drug Delivery Vehicle for COVID-19 Wards in Hospitals

The prime reason for proposing the work is designing and developing a low-cost guided wireless Unmanned Ground Vehicle (UGV) for use in hospitals for assistance in contactless drug delivery in COVID-19 wards. The Robot is designed as per the requirements and technical specifications required for the healthcare facility. After a detailed survey and tests of various mechanisms for steering and structure of UGV, the best mechanism preferred for steering articulated and for body structure is hexagonal as this approach provides decent performance and stability required to achieve the objective. The UGV has multiple sensors onboard, such as a Camera, GPS module, Hydrogen, and Carbon Gas sensor, Raindrop sensor, and an ultrasonic range finder on UGV for the end-user to understand the circumferential environment and status of UGV. The data and control options are displayed on any phone or computer present in the Wi-Fi zones only if the user login is validated. ESP-32 microcontroller is the prime component utilized to establish reliable wireless communication between the user and UGV.These days, the demand for robot vehicles in hospitals has increased rapidly due to pandemic outbreaks as using this makes a contactless delivery of the medicinal drug. These systems are designed specifically to assist humans in the current situation where life can be at risk for healthcare facilities. In addition, the robot vehicle is suitable for many other applications like supervision, sanitization, carrying medicines and medical equipment for delivery, delivery of food and used dishes, laundry, garbage, laboratory samples, and additional supply

Proceedings of the International Conference on Cognition and Recognition A Multi-functional Approach for Document Layout Analysis

The important pre-requisites in document layout analysis are identifying number of text lines, number of columns and segmentation of textual and non-textual regions. The literature reveals two major procedures viz. global and local approaches used for extraction of text lines. The examples of global approaches are projection profile and Hough transform, which have serious problem with multicolumn layouts. The local approach is connected component linking which consume lot of computational time, or requires complete page layout analysis as input prior to the reliable identification of text lines. In this paper, we propose a new and efficient method for segmentation and identification of number of text lines based on image dilation and region labeling for a machine printed binary document image containing text or/and non-text, single or multi-column layouts. The proposed method segments the individual text lines present in the document, reports the number of columns in the documents, detects and segments the number of nontextual regions present in the given document image. The flexibility of this method further permit’s to work on text line features, which are invariably used in the later phase of image analysis for higher level interpretation and matching. The experimental results are encouraging and indicate that better accuracy could be achieved by using this method. 1