Course Introduction

FSP 305 : Forensic Biometrics Analysis

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

In the subject Forensic Science, Biometrics has been used since ancient times. The first textbook on the subject was written by Sir Francis Galton in 1892. The French policeman Bertillon developed a system of personal identification by bodily/physical measurements. It came to be known as the Bertillon system. From about 1910, the fingerprints became more broadly used, since it was easy to equate and stock in comparison to the Bertillon system where many measurements had to be taken from each body part, with many possible errors.


Nowadays, there exist large Automated Fingerprint Identification Systems (AFIS). In the early 1970s, computer based systems were viable for fingerprints. Face comparison is also commonly done at police stations. The scientific background of face comparisons still needs to be validated. In Forensic Science, there are several efforts for making a face comparison more independent. Despite the face databases that are available, automated searching in these databases is not realistic without going through many false hits.


Iris system databases are labelled to be very operative. However, in Forensic Science, we do not often get cases with iris-comparisons. Commercial systems for iris comparison for access control are implemented in airports. The largest database of irises is reported to be in United Arab Emirates, where over half a million irises were in the database in 2005.


Databases of handwriting are developed, however they are not in widespread use. Also commercial implementation of handwriting comparison exists in the field of biometrics. For forensic science, also several other biometric features are used as evidence. Evidence such as nail marks (from fingernails), are more easily accepted in court. The advantage of the databases of biometrics, such as fingerprints, irises, faces and many more, is that there exist a database and more information can be extracted from them based on statistics.


This course ensures the students to understand various parameters that should be considered in order to recognize the differential aspects related to fingerprints, iris, facial recognition etc., in order to apply in criminal cases involving the utility of Forensic Biometrics.

  • Level I : Forensic Biometrics Analysis

    MODULE 1 – FORENSIC BIOMETRICS

    Forensic biometrics has been used for an extended period. Through body measurements Alphonse Bertillon had developed the system of personal identification and developed known as Bertillon system. Fingerprint became extensively used after 1910, comparatively Bertillon system where so many body measurements had to be taken and it may be possible with error. Under this module, you will familiarize with the introduction and definition of forensic biometrics, types of biometrics tools, significance of biometrics in fingerprints, facial reconstruction, iris and retina scan, voice, DNA, handwriting, relevance in forensic science, model of biometric system, use of biometrics, advantages & disadvantages.

    MODULE 2 – TYPES OF BIOMETRICS

    Biometric plays a crucial role in securing an individual’s identity. Through this module, students will be able to acquire knowledge about various types of biometrics which are grouped under Physiological (Eye biometrics, Fingerprints and Palm prints, face, Foot prints, Gait pattern and Digital signature) and Behavioural.(Speech/ Voice, Handwriting).

    MODULE 3 – BIOMETRIC SYSTEM MODEL

    All the biometrics work on the similar process of identity identification. This course module focusses on the sequential step wise working of the Biometric system model which involves Data collection, Transmission, Signal processing, Storage and finally making an authenticated decision. Two types of models (Geometrical and Statistical) have also been discussed in this module which will significantly enhance students’ knowledge.

    MODULE 4 – FINGERPRINT IDENTIFICATION TECHNOLOGY

    Fingerprint Identification Technology is one of the oldest and most popular technique for personal identification used worldwide. This module will enrich the students’ knowledge about application of fingerprints, Early systems (Manual card files, Classification and Searching and Methods), Early automation efforts, Working of the system (Scanning and digitizing, Enhancement, Features extraction, Classification, Matching, Searching and Manual Verification) and its applications in criminal, civil and commercial cases.

    MODULE 5 – FACE RECOGNITION

    Face recognition involves measuring all the facial traits of an individual. This module focusses on how the face is detected, various representation techniques and its application and also classification techniques that aids in face recognition. Technologies (Kernel based, 3D Model based) for face recognition will also be dealt in this module so as to verify and determine an individual from digital image or video source.

  • Level II : Forensic Biometrics Analysis

    MODULE 1 – FORENSIC BIOMETRICS

    Forensic biometrics has been used for an extended period. Through body measurements Alphonse Bertillon had developed the system of personal identification and developed known as Bertillon system. Fingerprint became extensively used after 1910, comparatively Bertillon system where so many body measurements had to be taken and it may be possible with error. Under this module, you will familiarize with the introduction and definition of forensic biometrics, types of biometrics tools, significance of biometrics in fingerprints, facial reconstruction, iris and retina scan, voice, DNA, handwriting, relevance in forensic science, model of biometric system, use of biometrics, advantages & disadvantages.

    MODULE 2 – TYPES OF BIOMETRICS

    Biometric plays a crucial role in securing an individual’s identity. Through this module, students will be able to acquire knowledge about various types of biometrics which are grouped under Physiological (Eye biometrics, Fingerprints and Palm prints, face, Foot prints, Gait pattern and Digital signature) and Behavioural.(Speech/ Voice, Handwriting).

    MODULE 3 – BIOMETRIC SYSTEM MODEL

    All the biometrics work on the similar process of identity identification. This course module focusses on the sequential step wise working of the Biometric system model which involves Data collection, Transmission, Signal processing, Storage and finally making an authenticated decision. Two types of models (Geometrical and Statistical) have also been discussed in this module which will significantly enhance students’ knowledge.

    MODULE 4 – FINGERPRINT IDENTIFICATION TECHNOLOGY

    Fingerprint Identification Technology is one of the oldest and most popular technique for personal identification used worldwide. This module will enrich the students’ knowledge about application of fingerprints, Early systems (Manual card files, Classification and Searching and Methods), Early automation efforts, Working of the system (Scanning and digitizing, Enhancement, Features extraction, Classification, Matching, Searching and Manual Verification) and its applications in criminal, civil and commercial cases.

    MODULE 5 – PALM PRINTS

    Uniqueness and Permanence of the ridges present on the palm makes the Palm Print recognition reliable and authentication. This module encompasses an elaborated information about Methods, Systems (Palm acquisition, Palm print recognition), and Future of palm recognition, 3D palm recognition, and Touch less palm recognition.

    MODULE 6 – FACE RECOGNITION

    Face recognition involves measuring all the facial traits of an individual. This module focusses on how the face is detected, various representation techniques and its application and also classification techniques that aids in face recognition. Technologies (Kernel based, 3D Model based) for face recognition will also be dealt in this module so as to verify and determine an individual from digital image or video source.

    MODULE 7 – BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE

    With the exponential increase in the technology, need to secure and safeguard our systems are getting more vital. Biometrics amalgamation with the smart cards is an advanced technique to secure the identity and details of the individual. Thus making the information less susceptible to abuse.  This module will acquaint the students’ with Fingerprint Matching Algorithm, Overview of Local and Global Structure, Work Sharing Mechanism for on Card Comparison, Off Card Alignment, and Performance Comparison.

  • Level III : Forensic Biometrics Analysis

    MODULE 1 – FORENSIC BIOMETRICS

    Forensic biometrics has been used for an extended period. Through body measurements Alphonse Bertillon had developed the system of personal identification and developed known as Bertillon system. Fingerprint became extensively used after 1910, comparatively Bertillon system where so many body measurements had to be taken and it may be possible with error. Under this module, you will familiarize with the introduction and definition of forensic biometrics, types of biometrics tools, significance of biometrics in fingerprints, facial reconstruction, iris and retina scan, voice, DNA, handwriting, relevance in forensic science, model of biometric system, use of biometrics, advantages & disadvantages.

    MODULE 2 – TYPES OF BIOMETRICS

    Biometric plays a crucial role in securing an individual’s identity. Through this module, students will be able to acquire knowledge about various types of biometrics which are grouped under Physiological (Eye biometrics, Fingerprints and Palm prints, face, Foot prints, Gait pattern and Digital signature) and Behavioural.(Speech/ Voice, Handwriting).

    MODULE 3 – BIOMETRIC SYSTEM MODEL

    All the biometrics work on the similar process of identity identification. This course module focusses on the sequential step wise working of the Biometric system model which involves Data collection, Transmission, Signal processing, Storage and finally making an authenticated decision. Two types of models (Geometrical and Statistical) have also been discussed in this module which will significantly enhance students’ knowledge.

    MODULE 4 – IMAGE PROCESSING

    The detailed study of image processing through with legal perspective, along with the facts related to it is of great importance in legal cases students would be acquainted with the introduction to image processing, image enhancement and restoration, method of investigation of erased tapes, analysis of signals (analog video image processing), compression, encryption methods, methods for digital video recording, digitalization techniques and the investigation of integrity of images and videos.

    MODULE 5 – FINGERPRINT IDENTIFICATION TECHNOLOGY

    Fingerprint Identification Technology is one of the oldest and most popular technique for personal identification used worldwide. This module will enrich the students’ knowledge about application of fingerprints, Early systems (Manual card files, Classification and Searching and Methods), Early automation efforts, Working of the system (Scanning and digitizing, Enhancement, Features extraction, Classification, Matching, Searching and Manual Verification) and its applications in criminal, civil and commercial cases.

    MODULE 6 – PALM PRINTS

    Uniqueness and Permanence of the ridges present on the palm makes the Palm Print recognition reliable and authentication. This module encompasses an elaborated information about Methods, Systems (Palm acquisition, Palm print recognition), and Future of palm recognition, 3D palm recognition, and Touch less palm recognition.

    MODULE 7 – IRIS RECOGNITION

    Iris is a distinctive trait of every individual, as it is stable and unalterable throughout one’s life. Thus recognition of Iris pattern is helpful for individualisation and to safeguard secure networks. This module will enrich the students’ knowledge in topics like Anatomical and Physiological Underpinnings, sensing and how the Iris signature representation and matching (Localization, Representation, and Matching) is done

    MODULE 8 – FACE RECOGNITION

    Face recognition involves measuring all the facial traits of an individual. This module focusses on how the face is detected, various representation techniques and its application and also classification techniques that aids in face recognition. Technologies (Kernel based, 3D Model based) for face recognition will also be dealt in this module so as to verify and determine an individual from digital image or video source.

    MODULE 9 – SPEAKER VERIFICATION

    This course module encompasses identification and verification of speaker, detailed description about features and models, additional methods for managing variability, Speaker Verification by means of Artificial Neural Network, NIST Speaker Recognition Evaluation, Data, and factors affecting detection performance (duration, pitch, handset differences, Landline vs. Cellular) and extended data evaluation.

    MODULE 10 – CULTURAL, SOCIAL, AND LEGAL CONSIDERATION

    This course module focusses on relationship between Biometric System and Individual in correlation with the cultural, social and legal aspects. Students will enrich their knowledge about Social Impact (Privacy as a cultural consideration, Individuality), Legal Issues and Data policy (Information Sharing Issues, Protection of Biometrics Data)

    MODULE 11 – BIOMETRIC ON SMART CARD: AN ADVANCED TECHNIQUE

    With the exponential increase in the technology, need to secure and safeguard our systems are getting more vital. Biometrics amalgamation with the smart cards is an advanced technique to secure the identity and details of the individual. Thus making the information less susceptible to abuse.  This module will acquaint the students’ with Fingerprint Matching Algorithm, Overview of Local and Global Structure, Work Sharing Mechanism for on Card Comparison, Off Card Alignment, and Performance Comparison.

    MODULE 12 – EMERGING TRENDS IN BIOMETRICS

    With advancement in the ways of dodging the traditional biometric methods, a need for novel, reliable and authenticated biometric patterns arises. This module significantly encompasses various emerging trends in the field of biometrics which includes Ear prints, Tongue prints, Body salinity, Facial Thermography, Lip motion, Brain-wave, Vein pattern, Sweat pores and DNA. These come into way when previous biometrics are difficult to adapt.

  • What is Forensic Biometric Analysis?

    Forensic Biometrics deals with the application of the technique of identification of an individual based on physical records, like fingerprint, palm-print, facial features, iris, etc. The use of Biometrics has been applied to almost all the fields of job and examination, to ensure the individuality of an individual by curbing all the chances of any foul play.

  • How can I become an Expert in Forensic Biometrics?

    The course outlines the Expert’s ways of using biometrics for the identification of an individual. These ensure proper usage of characteristics that are essential to be noticed rather than taking up every feature. The course focused on basics as well as advanced levels would let the learner prosper in the field of interest. 

  • What are the responsibilities of an Expert of Forensic Biometrics?

    The Expert of Forensic Biometrics has to look out for the features for effective facial reconstruction, speaker recognition, image processing, palm and iris recognition, facial and other advanced techniques. They can render their services, opine and can state their opinion in legal proceedings as well. 

  • What are the scope and the opportunistic aspects of the course?

    Learners acquired with knowledge of forensic biometrics may aim for Central, State, and Regional Forensic Science Laboratory respectively. Skilled learners can also render their services for private organizations as well and assist as an Expert Witness in legal proceedings. 

  • Where can I contact in case of any queries?

    You can write to us at education@sifs.in or call us at +91-1147074263 or WhatsApp us +91-7303913002 or +91-7303913003.


Faulty Fingerprints

In 1994, I was working as a network administrator for a large insurance company. The company was very proud of the fact that it invested insane amounts of money in the latest technology. One day, my boss told me about a new technology that we were going to be trying out called biometrics. About a week later, a package arrived with two fingerprint readers inside. My boss explained to me that the company was going to quit using passwords and start using fingerprint recognition for authentication and that the two readers that had just arrived were for testing purposes.

Unfortunately, those prehistoric fingerprint readers had some serious accuracy problems. Rather than examining a person’s entire fingerprint, they looked at seven different points on a person’s fingertip. If the seven points matched, then authentication was granted. Unfortunately, this meant that the fingerprint readers couldn’t tell the difference between my secretary and me. Others in the office also suffered from similar identity problems. Therefore, we collectively decided that the technology just wasn’t ready and banished the fingerprint readers to the storage closet.

Obviously, the biometrics field has made significant advancements since my experience with the faulty fingerprint readers. Still, while biometrics does have its place in some applications, it is not for everyone. This article examines a few banking industry case studies where biometrics was used effectively, as well as some situations in which it does not belong.

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

Vaishnavi Thakre

Vaishnavi Thakre

Forensic Expert

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