Course Introduction

FSP 305: Forensic Biometric Analysis

  • Course Outline
  • Curriculum
  • FAQ
  • Case Studies
  • Reviews

July Batch 2024

Last Date to Register : 25th July 2024

The Forensic Biometric Analysis Online Course by SIFS India is carefully crafted to help you explore the field of biometrics and how it can prove a crucial tool during investigations.

You will learn different types of biometric analysis and how to identify individuals through their unique physical and behavioral traits, like face recognition, fingerprint analysis, DNA profiling, and more.

All the sessions are pre-recorded, loaded with industry-specific knowledge, and delivered by expert forensic biometric analysts.

Associate Degree Program comprises of three levels: Level 1 (certificate), Level 2 (diploma), and Level 3 (Post Graduate Diploma), and the entire curriculum is divided among these levels.

A few of the topics you will learn about are: the history of forensic biometrics, types of biometrics, biometric data collection and storage, image capturing and processing, encryption methods, fingerprint identification technology, palm print recognition, iris matching and recognition, techniques and applications of face recognition, speaker verification, cultural, social, and legal considerations; smart card biometrics, and emerging trends in biometrics.

So enroll now to decode the secrets held within human characteristics and get ready to make a significant impact in the field of security and investigation.

Course Benefits

Enrolling in this course will equip you with the necessary skills to identify and analyze biometric data. You will master the techniques used in fingerprint, DNA, and facial recognition analysis, among several others. With this knowledge, you can work in a variety of sectors that need to maintain accuracy, security, and trust in identification systems.

Course Outcome

Upon successful completion of this course, you will become an expert in analyzing and identifying individuals based on their biometric characteristics. You will become proficient in numerous biometric recognition techniques along with an understanding of the legal and ethical aspects of this field, contributing to the safety and security of individuals and organizations.

Course Highlights

- Pre-recorded sessions with working knowledge of biometric analysis tools and software

- Instructors with extensive experience in forensic biometrics

- Industry-specific and comprehensive study material and reference books

- Community of forensic biometric experts and professionals

- Professional networking opportunities in this specialized and ever-evolving field

Payment Details:

International Student : PayPal: forensicdocument@gmail.com

Account Details for National Student

Bank Name  - ICICI BANK
Acc. Name    - SIFS INDIA PVT. LTD.
Account No. - 663505500086
Type         - Current
IFSC Code    -   ICIC0000160
Address         - ICICI Bank, H-4, Model Town -III, New Delhi - 110009

  • Level I : Forensic Biometrics Analysis

    MODULE 1 – FORENSIC BIOMETRICS

    In this module, you will get an overview of the field of biometrics, its historical evolution, the biometric system (a brief know-how of various models), the multifaceted functions of biometrics, the advantages and disadvantages of using this technology, and the significant role biometrics play during forensic investigations.

    MODULE 2 – TYPES OF BIOMETRICS

    This module covers the study of various types of biometrics, including physiological types (eye biometrics, fingerprints, palm prints, face recognition, footprints, and digital signatures) and behavioral types (speech/voice, handwriting, and gait pattern). You will learn how to use an individual's identity using this technology during forensic investigations.

    MODULE 3 – BIOMETRIC SYSTEM MODEL

    This module focuses on biometric systems and the stages of their operation. The process starts with data collection, progresses through transmission, signal processing, and storage, and finally concludes with the critical decision-making phase. The module also covers types of biometric models, including the geometric model (which uses geometric features for identification) and the statistical model (which uses numerical analysis of biological data).

    MODULE 4 – FINGERPRINT IDENTIFICATION TECHNOLOGY

    This module covers the domain of fingerprint technology, its applications and historical evolution, the early system of fingerprinting using manual card files, classification and searching methods, and the role played in early automation efforts by USNBS/NIST, the Royal Canadian Police, the FBI, the UK, and Japan. You will then learn about the technological aspects of fingerprinting, like scanning, digitizing, enhancement, feature extraction, classification, matching, searching, and manual verification. The module concludes with the applications of fingerprint identification technology in criminal, civil, and commercial domains.

    MODULE 5 – FACE RECOGNITION

    Face recognition is a biometric software category that involves confirming a person’s identity using their facial features by comparing the live face or a digital image with the database of stored faceprints. This module focuses on the concept of facial recognition, the evolution of facial detection, representation and classification techniques for face recognition, and kernel-based and 3-D model-based methods.

  • Level II : Forensic Biometrics Analysis

    MODULE 1 – FORENSIC BIOMETRICS

    In this module, you will get an overview of the field of biometrics, its historical evolution, the biometric system (a brief know-how of various models), the multifaceted functions of biometrics, the advantages and disadvantages of using this technology, and the significant role biometrics play during forensic investigations.

    MODULE 2 – TYPES OF BIOMETRICS

    This module covers the study of various types of biometrics, including physiological types (eye biometrics, fingerprints, palm prints, face recognition, footprints, and digital signatures) and behavioral types (speech/voice, handwriting, and gait pattern). You will learn how to use an individual's identity using this technology during forensic investigations.

    MODULE 3 – BIOMETRIC SYSTEM MODEL

    This module focuses on biometric systems and the stages of their operation. The process starts with data collection, progresses through transmission, signal processing, and storage, and finally concludes with the critical decision-making phase. The module also covers types of biometric models, including the geometric model (which uses geometric features for identification) and the statistical model (which uses numerical analysis of biological data).

    MODULE 4 – FINGERPRINT IDENTIFICATION TECHNOLOGY

    This module covers the domain of fingerprint technology, its applications and historical evolution, the early system of fingerprinting using manual card files, classification and searching methods, and the role played in early automation efforts by USNBS/NIST, the Royal Canadian Police, the FBI, the UK, and Japan. You will then learn about the technological aspects of fingerprinting, like scanning, digitizing, enhancement, feature extraction, classification, matching, searching, and manual verification. The module concludes with the applications of fingerprint identification technology in criminal, civil, and commercial domains.

    MODULE 5 – PALM PRINTS

    In this module, you will learn about palm prints, their historical significance, methods (minutiae, principle lines, and the texture of palms), systems used in palm print recognition (palm acquisition and palm print recognition), the future of palm recognition, including multimodal dimensions, taking into account vein and palm, hand geometry and palm, 3D palm recognition, and the concept of touchless palm recognition.

    MODULE 6 – FACE RECOGNITION

    Face recognition is a biometric software category that involves confirming a person’s identity using their facial features by comparing the live face or a digital image with the database of stored faceprints. This module focuses on the concept of facial recognition, the evolution of facial detection, representation and classification techniques for face recognition, and kernel-based and 3-D model-based methods.

    MODULE 7 – BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE

    Smart cards are used as identification documents that securely store the identity and details of an individual. This module focuses on the concept of smart card intersection with biometric technology, fingerprint matching algorithms, an overview of local and global structural facets within this algorithmic framework, work-sharing mechanisms for on-card comparison, off-card alignment, and performance comparison to evaluate the effectiveness and efficiency of fingerprint matching algorithms in diverse contexts.

  • Level III : Forensic Biometrics Analysis

    MODULE 1 - FORENSIC BIOMETRICS

    In this module, you will get an overview of the field of biometrics, its historical evolution, the biometric system (a brief know-how of various models), the multifaceted functions of biometrics, the advantages and disadvantages of using this technology, and the significant role biometrics play during forensic investigations.

    MODULE 2 - TYPES OF BIOMETRICS

    This module covers the study of various types of biometrics, including physiological types (eye biometrics, fingerprints, palm prints, face recognition, footprints, and digital signatures) and behavioral types (speech/voice, handwriting, and gait pattern). You will learn how to use an individual's identity using this technology during forensic investigations.

    MODULE 3 - BIOMETRIC SYSTEM MODEL

    This module focuses on biometric systems and the stages of their operation. The process starts with data collection, progresses through transmission, signal processing, and storage, and finally concludes with the critical decision-making phase. The module also covers types of biometric models, including the geometric model (which uses geometric features for identification) and the statistical model (which uses numerical analysis of biological data).

    MODULE 4 - IMAGE PROCESSING

    In this module, you will be introduced to image processing within the legal framework and the steps involved, like image capture, enhancement and restoration, and feature extraction techniques. The concepts of analysis of signals (analogue video image processing), compression and encryption methods, digital video recording methods, digitalization techniques, and the investigation of image and video integrity are also covered.

    MODULE 5 - FINGERPRINT IDENTIFICATION TECHNOLOGY

    This module covers the domain of fingerprint technology, its applications and historical evolution, the early system of fingerprinting using manual card files, classification and searching methods, and the role played in early automation efforts by USNBS/NIST, the Royal Canadian Police, the FBI, the UK, and Japan. You will then learn about the technological aspects of fingerprinting, like scanning, digitizing, enhancement, feature extraction, classification, matching, searching, and manual verification. The module concludes with the applications of fingerprint identification technology in criminal, civil, and commercial domains.

    MODULE 6 - PALM PRINTS

    In this module, you will learn about palm prints, their historical significance, methods (minutiae, principle lines, and the texture of palms), systems used in palm print recognition (palm acquisition and palm print recognition), the future of palm recognition, including multimodal dimensions, taking into account vein and palm, hand geometry and palm, 3D palm recognition, and the concept of touchless palm recognition.

    MODULE 7 - IRIS RECOGNITION

    This module covers the domain of iris recognition, its anatomical and physiological foundations, the process of sensing and capturing the essence of the iris, and the core aspects of iris signature representation and matching, involving the meticulous steps of localization, the art of representation, and the precision of matching. Iris has unique patterns, thereby making iris recognition at the forefront of biometric technology.

    MODULE 8 - FACE RECOGNITION

    Face recognition is a biometric software category that involves confirming a person’s identity using their facial features by comparing the live face or a digital image with the database of stored faceprints. This module focuses on the concept of facial recognition, the evolution of facial detection, representation and classification techniques for face recognition, and kernel-based and 3-D model-based methods.

    MODULE 9 - SPEAKER VERIFICATION

    This module introduces you to the concepts of speaker recognition, speech features, and speaker models; additional methods for managing variability, such as channel normalization and modeling and text constraint, verifying speakers via an artificial neural network, NIST speaker recognition evaluation, including one speaker detection, two speaker detection, speaker tracking, and speaker segmentation.

    You will also learn about the data domain covering speaker training and test segments, the factors influencing detection performance, including duration, pitch, handset differences, and distinctions between landline and cellular environments, and extended data evaluation.

    MODULE 10 - CULTURAL, SOCIAL, AND LEGAL CONSIDERATION

    In this module, you will learn about the societal and legal dimensions of biometric analysis, social impact, including the cultural considerations of privacy and the concept of individuality, legal issues, including liability and the legal implications for biometrics in the privacy domain, and data policies covering issues related to information sharing and the protection of biometric data.

    MODULE 11 - BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE

    Smart cards are used as identification documents that securely store the identity and details of an individual. This module focuses on the concept of smart card intersection with biometric technology, fingerprint matching algorithms, an overview of local and global structural facets within this algorithmic framework, work-sharing mechanisms for on-card comparison, off-card alignment, and performance comparison to evaluate the effectiveness and efficiency of fingerprint matching algorithms in diverse contexts.

    MODULE 12 - EMERGING TRENDS IN BIOMETRICS

    In this module, you will be introduced to the emerging biometric identification methods beyond the conventional ones, including ear biometrics, tongue prints, body salinity, facial thermography, acoustic head resonance, lip motion, nail bed identification, vein patterns, brainwave patterns, sweat pores, and the complex domain of DNA. Each one represents a unique way of identification, contributing to the upliftment of this technology and redefining the field of personal recognition and forensic sciences.

  • What steps should I follow to enroll in this course?

    To enroll, click on the “Register for Course” option available on the right side of the screen, followed by the provided instructions and payment procedure.

  • Can I pay directly to the bank account of SIFS India?

    Yes, you have the option to make a direct payment to the bank account of SIFS India;, all you have to do is write an email at education@sifs.in requesting the bank details. 

  • Which documents I have to upload at the time of enrollment?

    Academic Qualification Documents, Professional Qualification Certificates, and National ID Proof or Passport Copy are required at the time of enrollment.  

  • What if I am unable to upload my documents?

    Kindly send your necessary documents with proof of payment to admission@sifs.in.

  • How will I receive confirmation once I have completed the payment procedure?

    An Admission Confirmation email will be sent with your portal credentials once the proof of payment and application form with all the necessary documents are received at admission@sifs.in.

  • How do I login to the portal for my course?

    To login, visit the portal at the given link: https://www.sifs.in/student and enter your login credentials, i.e., your username and password shared via email. 

  • What study material access will I have after logging into the portal?

    After logging into the portal, you will have access to reading material, reference eBooks, and e-research papers.

  • Will I receive any assignments during my course duration?

    Yes, all your assignments, projects, case studies and practice tests will be assigned to you through your portal as per the level you will be enrolled in.

  • What technical prerequisites are necessary for an online course?

    You can easily access our online course on mobile / tablet devices. We highly recommend that you use your desktop or laptop and a reliable internet connection for a better view.

  • Will there be any exams after completing the course?

    Yes, there will be an online exam after completing the course.

  • Will I receive any certificates after completing the online course?

    Yes, upon successful completion of the course, you will receive a certificate and marksheet, which can be a valuable addition to your resume and may enhance your career prospects in the field.

  • Where to contact in case of any queries or technical support?

    Write to us at admission@sifs.in, call: +91-1147074263, or WhatsApp: +91-7303913002.

IDV: Remote Biometrics saved Arizona from losing $40B

Arizona Pandemic Unemployment Assistance (PUA) was a federally funded program that offered insurance benefits to unemployed individuals in the country during the pandemic.

However, the program could have suffered huge losses in fraudulent payouts if remote biometric identity verification to confirm an individual’s identity was not implemented.

This technique was used to detect fake claims, as people wanted to claim government assistant funds without automated identity verification during that time.

A public-private partnership was formed by the Arizona Department of Economic Security (DES) with a firm named ID.me when it saw an extensive rise in unemployment insurance claims during the COVID-19 pandemic. A face biometric from Paravision was used for remote facial verification.

Additional funds were also released under the Federal Pandemic Unemployment Compensation (FPUC) scheme, which caught the eye of various international fraudsters during this time.

The claims under the PUA scheme rose to over 266,000 (end of July) from just 77,000 (in May). The number of claims rose to 570,000 in October.

This resulted in DES partnering with Google to carry out fraud analysis on the millions of claims received. During the investigation, a vast number of claims were found to be fraudulent, and several fell under identity theft.

The department approached ID.me after analyzing its NIST IAL2 unsupervised remote identity assurance and video chat features and also seeing the huge reductions in fraudulent claims in states like Florida, Georgia, and Nevada after using their services.

The Arizona Department deployed ID.me in early December, and claims were reduced by 68%. The criminals quickly shifted their fraud activities to states where identity checks and biometrics were implemented by the company.

Rupal Roy

5

Enjoyed the course a lot. Instructors were so motivating, and one of the best online course I have attended. I really wish to go there institution and attend live courses and not the virtual one.

Narreddy Vaishnavi

4

It was a good, worthy course.

Rasna Thapa

4

I had a great experience with sifs online courses. I got to know more about the topic, which I was expecting from this course.

Pragathi. S

5

Very helpful and interacting course and enjoyed a lot and learned new things.

Prerna Patel

5

First of all, it was my pleasure to be a part of this online course. It's good for beginners and working people. It was precise and easy to learn. My all over experience is amazing. The knowledge provided by content was very helpful to me. Thankyou you to the entire team of SIFS India and Dr. Ranjeet Singh Sir.

 

Instructors

Dr. Ranjeet Singh

Dr. Ranjeet Singh

Managing Director

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