Henry Classification System

Last updated

The Henry Classification System is a long-standing method by which fingerprints are sorted by physiological characteristics for one-to-many searching. Developed by Hem Chandra Bose, [1] Qazi Azizul Haque [2] and Sir Edward Henry in the late 19th century for criminal investigations in British India, [3] it was the basis of modern-day AFIS (Automated Fingerprint Identification System) classification methods up until the 1990s. In recent years, the Henry Classification System has generally been replaced by ridge flow classification approaches.

Contents

History and development

Henry Faulds Henry Faulds.jpg
Henry Faulds

Although fingerprint characteristics were studied as far back as the mid-1600s, the use of fingerprints as a means of identification did not occur until the mid-19th century. In roughly 1859, Sir William James Herschel discovered that fingerprints remain stable over time and are unique across individuals; as Chief Magistrate of the Hooghly district in Jungipoor, India, in 1877 he was the first to institute the use of fingerprints and handprints as a means of identification, signing legal documents, and authenticating transactions. The fingerprint records collected at this time were used for one-to-one verification only; as a means in which records would be logically filed and searched had not yet been invented.

In 1880, Dr. Henry Faulds wrote to Charles Darwin, explaining a system for classifying fingerprints, asking for his assistance in their development. Darwin was unable to assist Dr. Faulds, but agreed to forward the letter to his cousin, Sir Francis Galton. Dr. Henry Faulds and Sir Francis Galton did not engage in much correspondence, but in the following decade, they devised very similar fingerprint classification systems. It is unclear whom to credit for the classification system. However, we do know that Dr. Henry Faulds was the first European to publish the notion of scientific use of fingerprints in the identification of criminals. In 1892, Sir Francis Galton published his highly influential book, Finger Prints in which he described his classification system that include three main fingerprint patterns – loops, whorls and arches.

At the time, the alternative to fingerprints was Bertillonage, also known as Anthropometry. Developed by Alphonse Bertillon in 1879, Bertillonage consists of a meticulous method of measuring body parts for the use of identifying criminals. In 1892, the British Indian police force adopted Anthropometry. Two years later, Sir Edward Henry, Inspector General of the Bengal Police in India became interested in the use of fingerprints for the use of criminal identification.

Influenced by Galton's Finger Prints, the men corresponded regularly in 1894; and in January 1896, Henry ordered the Bengali Police to collect prisoners’ fingerprints in addition to their anthropometric measurements. Expanding on Galton's classification system, he developed the Henry Classification System between the years 1896 and 1925. He was primarily assisted by Qazi Azizul Haque and Hem Chandra Bose. Qazi Azizul Haque developed a mathematical formula to supplement Henry's idea of sorting in 1024 pigeon holes based on fingerprint patterns, [2] and Hem Chandra Bose introduced various improvements in the method of sub-classifying fingerprints. [1] Both, on the recommendation of Henry, received recognition years later by the British Government for their contribution. [4] [5] [6] The Henry Classification System was to find worldwide acceptance in 1899. In 1897 a commission was established to compare Anthropometry to the Henry Classification System. As the results were overwhelmingly in favor of fingerprints, fingerprinting was introduced to British India by the Governor General, and in 1900, replaced Anthropometry. Also in 1900, Henry was sent to Natal, South Africa to assist in the reorganization of the local police force and establish a fingerprint bureau. His efforts in South Africa were highly successful; and in 1901 Sir Edward Henry returned to Britain and was appointed Assistant Commissioner of Scotland Yard, head of the Criminal Investigation Department (CID). In the same year, the first UK fingerprint bureau was established at Scotland Yard. (Harling 1996) (Met) (Early)

Explanation

Facsimile of outline of two palms (FAULDS, Henry. Dactylography or the study of finger-prints. Imprint Halifax: Milner, [1912?]). Henry Faulds; Dactylography Wellcome L0032694.jpg
Facsimile of outline of two palms (FAULDS, Henry. Dactylography or the study of finger-prints. Imprint Halifax: Milner, [1912?]).

The Henry Classification System allows for logical categorization of ten-print fingerprint records into primary groupings based on fingerprint pattern types. This system reduces the effort necessary to search large numbers of fingerprint records by classifying fingerprint records according to gross physiological characteristics. Subsequent searches (manual or automated) utilizing granular characteristics such as minutiae are greatly simplified. The Henry Classification System is a method to classify fingerprints and exclude potential candidates. This system should never be used for individualization.

The Henry Classification System assigns each finger a number according to the order in which it is located in the hand, beginning with the right thumb as number 1 and ending with the left pinky as number 10. The system also assigns a numerical value to fingers that contain a whorl pattern; fingers 1 and 2 each have a value of 16, fingers 3 and 4 have a value of 8, fingers 5 and 6 have a value of 4, fingers 7 and 8 have a value of 2, and the final two fingers having a value of 1. Fingers with a non-whorl pattern, such as an arch or loop pattern, have a value of zero. [7] The sum of the even finger value is then calculated and placed in the numerator of a fraction. The sum of the odd finger values is placed in the denominator. The value of 1 is added to each sum of the whorls with the maximum obtainable on either side of the fraction being 32. Thus, the primary classification is a fraction between 1/1 to 32/32, where 1/1 would indicate no whorl patterns and 32/32 would mean that all fingers had whorl patterns. [8]

Example of a Henry Classification:

KeyMajorPrimarySecondarySub-SecondaryFinal
16M9RIIO15
M2UOOI

plus 34edg

Key- Ridge count first loop

Major- Value of the ridge counts or the tracings of fingers #1, #6

Primary- Summation of the value of: Whorl type patterns fingers (#2, #4, #6, #8, #10 for Numerator), (#1, #3, #5, #7, #9 for Denominator); Value of fingers as whorls: #1 & #2 (16), #3 & #4 (8), #5 & #6 (4), #7 & #8 (2), #9 & #10 (1); Plus 1 in both Numerator and Denominator.

Secondary- Pattern types in fingers #2 and #7, (U) Ulna Loop, (R) Radial Loop, (W) Whorl, and (A) Arch

Sub-Secondary- Value of ridge counts or tracing- fingers #2, #3, #4 in Numerator; #7, #8, #9 in Denominator.

Final- is the ridge count of the loops or whorls in both little fingers expressed in numbers. The right little is used as the numerator and the left little as the denominator. If a loop appears in one finger and a whorl in the other, enumerate both their ridge counts by treating the whorl as an ulnar loop. [9]

Impact on current biometric systems

The Henry Classification System has been a highly influential force in the formation of current IAFIS technology (Integrated Automated Fingerprint Identification System). When IAFIS solutions attempted to emulate the Henry process.

Up until the mid-1990s, it was not unusual for a state or city to continue to maintain its physical file of Henry-sorted fingerprint cards just in case a disaster occurred in the IAFIS. As processing speeds, network throughput capacities, and system reliability increased, it was no longer necessary for automated fingerprint matching to mirror what had been the manual processes.

IAFIS began to classify fingerprints according to the distance between the core and delta, minutiae locations, and pattern type, the latter being based on the Henry Classification System. Presently, there are some forensic AVIS solutions (e.g. state and local) that still employ a Henry Classification System based manual fingerprint filing. However, other than for legacy systems, the Henry Classification System is not essential for automated systems. (Carlton)in 20234

Related Research Articles

<span class="mw-page-title-main">Forensic science</span> Application of science to criminal and civil laws

Forensic science, also known as criminalistics, is the application of science to criminal and civil laws, mainly—on the criminal side—during criminal investigation, as governed by the legal standards of admissible evidence and criminal procedure. Forensic science is a broad field that includes; DNA analysis, fingerprint analysis, blood stain pattern analysis, firearms examination and ballistics, tool mark analysis, serology, toxicology, hair and fiber analysis, entomology, questioned documents, anthropology, odontology, pathology, epidemiology, footwear and tire tread analysis, drug chemistry, paint and glass analysis, digital audio video and photo analysis.

<span class="mw-page-title-main">Francis Galton</span> English polymath (1822–1911)

Sir Francis Galton, FRS FRAI, was an English Victorian era polymath: a statistician, sociologist, psychologist, anthropologist, tropical explorer, geographer, inventor, meteorologist, proto-geneticist, psychometrician and a proponent of social Darwinism, eugenics, and scientific racism. He was knighted in 1909.

<span class="mw-page-title-main">Fingerprint</span> Biometric identifier

A fingerprint is an impression left by the friction ridges of a human finger. The recovery of partial fingerprints from a crime scene is an important method of forensic science. Moisture and grease on a finger result in fingerprints on surfaces such as glass or metal. Deliberate impressions of entire fingerprints can be obtained by ink or other substances transferred from the peaks of friction ridges on the skin to a smooth surface such as paper. Fingerprint records normally contain impressions from the pad on the last joint of fingers and thumbs, though fingerprint cards also typically record portions of lower joint areas of the fingers.

In statistics, naive Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naive) independence assumptions between the features. They are among the simplest Bayesian network models, but coupled with kernel density estimation, they can achieve high accuracy levels.

Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. These activities can be viewed as two facets of the same field of application, and they have undergone substantial development over the past few decades.

Biometrics are body measurements and calculations related to human characteristics. Biometric authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

<span class="mw-page-title-main">Henry Faulds</span> Scottish doctor, missionary and scientist

Henry Faulds was a Scottish doctor, missionary and scientist who is noted for the development of fingerprinting.

<span class="mw-page-title-main">Alphonse Bertillon</span> French police officer and biometrics researcher

Alphonse Bertillon was a French police officer and biometrics researcher who applied the anthropological technique of anthropometry to law enforcement creating an identification system based on physical measurements. Anthropometry was the first scientific system used by police to identify criminals. Before that time, criminals could only be identified by name or photograph. The method was eventually supplanted by fingerprinting.

<span class="mw-page-title-main">Motihari</span> City in Bihar, India

Motihari is the headquarters of East Champaran district in the Indian state of Bihar. It is located 40.09 kilometres northeast of Mehsi and 152.2 kilometres (94.6 mi) north of the state capital Patna.

<span class="mw-page-title-main">Whorl</span>

A whorl is an individual circle, oval, volution or equivalent in a whorled pattern, which consists of a spiral or multiple concentric objects.

A fingerprint is a mark made by the pattern of ridges on the pad of a human finger.

<span class="mw-page-title-main">Edward Henry</span> London police commissioner from 1903 to 1918

Sir Edward Richard Henry, 1st Baronet, was the Commissioner of Police of the Metropolis from 1903 to 1918.

Harry Jackson was the first person to be convicted in the United Kingdom via fingerprint evidence.

<span class="mw-page-title-main">Qazi Azizul Haque</span>

Khan Bahadur Qazi Azizul Haque was a Bengali inventor and police officer in British India, notable for his work with Edward Henry and Hem Chandra Bose in developing the Henry Classification System of fingerprints, which is still in use. Haque provided the mathematical basis for the system.

<span class="mw-page-title-main">Dermatoglyphics</span>

Dermatoglyphics is the scientific study of fingerprints, lines, mounts and shapes of hands, as distinct from the superficially similar pseudoscience of palmistry.

Rai Bahadur Hem Chandra Bose was an Indian police officer and mathematician at the Calcutta Anthropometric Bureau. Supervised by Edward Henry, he and Azizul Haque developed the Henry Classification System for cataloging fingerprints.

<span class="mw-page-title-main">Body identification</span> Subfield of forensic science

Body identification is a subfield of forensic science that uses a variety of scientific and non-scientific methods to identify a body. Forensic purposes are served by rigorous scientific forensic identification techniques, but these are generally preceded by formal identification. This involves requesting a family member or friend of the victim to visually identify the body.

<span class="mw-page-title-main">Smudge attack</span> Discerning a password via screen smudges

A smudge attack is an information extraction attack that discerns the password input of a touchscreen device such as a cell phone or tablet computer from fingerprint smudges. A team of researchers at the University of Pennsylvania were the first to investigate this type of attack in 2010. An attack occurs when an unauthorized user is in possession or is nearby the device of interest. The attacker relies on detecting the oily smudges produced and left behind by the user's fingers to find the pattern or code needed to access the device and its contents. Simple cameras, lights, fingerprint powder, and image processing software can be used to capture the fingerprint deposits created when the user unlocks their device. Under proper lighting and camera settings, the finger smudges can be easily detected, and the heaviest smudges can be used to infer the most frequent input swipes or taps from the user.

The history of anthropometry includes its use as an early tool of anthropology, use for identification, use for the purposes of understanding human physical variation in paleoanthropology and in various attempts to correlate physical with racial and psychological traits. At various points in history, certain anthropometrics have been cited by advocates of discrimination and eugenics often as part of novel social movements or based upon pseudoscience.

<span class="mw-page-title-main">Biometric device</span>

A biometric device is a security identification and authentication device. Such devices use automated methods of verifying or recognising the identity of a living person based on a physiological or behavioral characteristic. These characteristics include fingerprints, facial images, iris and voice recognition.

References

  1. 1 2 Saquib Salim (24 May 2021). "Hem Chandra Bose: whose discoveries were stolen by the British". www.awazthevoice.in. Retrieved 7 November 2022.
  2. 1 2 Saquib Salim (23 May 2021). "Azizul Haque: the Indian who devised Fingerprint Classification System". www.awazthevoice.in. Retrieved 7 November 2022.
  3. Agrah Pandit (6 January 2021). "How Two Indians Finally Won Credit For Henry Classification System". www.thequint.com. Retrieved 7 November 2022.
  4. Tewari RK; Ravikumar KV. History and development of forensic science in India . J. Postgrad Med 2000,46:303–308.
  5. J.S. Sodhi & Jasjeed Kaur The forgotten Indian pioneers of fingerprint science, Current Science 2005, 88(1):185–191.
  6. Colin Beavan: Fingerprints: The Origins of Crime Detection and Murder Case that Launched Forensic Science, Hyperion, NY, USA, 2001.
  7. Harling 1996
  8. Roberts 2008
  9. Stewart (2014)