Finger print guide
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This document provides a visual overview of common fingerprint ridge patterns including arches, loops, and whorls. Arches have a single ridge across the finger tip from side to side. Loops curve in one direction with the ridge entering on one side and exiting on the other. Whorls have at least one ridge making a circular pattern on the finger.
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Fingerprint Classification - Arch Patterns
A plain arch is defined as a fingerprint pattern where ridges enter on one side, rise in the center, and flow out on the opposite side. It is classified as type AA. A tented arch is a pattern that has either an angle, upthrust, or two of the three basic characteristics of a loop. It is classified as type TT. Tented arches can be angle type, upthrust type, or looping type which has two of the three characteristics of a loop.
Whorl Patterns
This document defines and provides examples of different types of fingerprint patterns, including plain whorls, central pocket loop whorls, double loop whorls, and accidental whorls. It also describes how to trace fingerprints and determine inner, outer, or meeting ridge counts.
Fingerprint Identification
Fingerprints are unique and can be used to identify individuals. They are comprised of ridges and valleys that form distinctive patterns classified as loops, whorls, or arches. Fingerprint identification involves comparing ridge characteristics like ending ridges, bifurcations, and dots between two prints and looking for multiple matching characteristics in the same relative positions to determine a match. While some countries have a set number of ridge characteristics required for identification, examiners in the US can use their experience and discretion to decide based on print clarity and uniqueness.
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The document discusses ridge counting and tracing techniques used in fingerprint analysis. Ridge counting involves drawing an imaginary line between a fingerprint's delta and core and counting the number of ridges that cross the line. Ridge tracing follows a single ridge from the left delta to determine if the fingerprint pattern is an inner, meeting, or outer whorl based on the number of intervening ridges between the traced ridge and right delta. Specific rules are provided for accurately applying these methods.
Fingerprint classification rules
This document provides definitions and descriptions of key terms used in fingerprint classification and analysis. It explains that fingerprints are categorized into three main patterns: arches, loops, and whorls. Loops are further defined as having a core, delta, at least one recurving ridge between the core and delta, and a ridge count of one or more. The document also describes techniques for identifying features like deltas, cores, type lines, and distinguishing between ulnar and radial loops.
Fingerprint Classification- Loop Patterns
This document provides information about fingerprint patterns, including definitions and illustrations of loop patterns. It defines the key aspects of a loop pattern, including the sufficient recurve, delta, and ridge count. It illustrates ulnar and radial loop directions and provides examples of ridge counting on loop patterns. The goal is to classify fingerprint patterns by analyzing these aspects.
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Fingerprints have been used for identification since 1882. There are three main fingerprint patterns: loops, whorls, and arches. Loops make up 65% of fingerprints, whorls 30%, and arches 5%. Fingerprints are identified by features called minutiae including bifurcations, endings, and cores. There are two main techniques for fingerprint matching: minutiae-based which matches placement of minutiae points, and correlation-based which can overcome difficulties of minutiae-based matching. Fingerprints are captured using either optical or capacitive sensors and processed using image algorithms. Fingerprint identification has advantages of high accuracy, economy, and standardization but disadvantages of potential intrusiveness and errors from dirty or
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A plain arch is defined as a fingerprint pattern where ridges enter on one side, rise in the center, and flow out on the opposite side. It is classified as type AA. A tented arch is a pattern that has either an angle, upthrust, or two of the three basic characteristics of a loop. It is classified as type TT. Tented arches can be angle type, upthrust type, or looping type which has two of the three characteristics of a loop.
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This document defines and provides examples of different types of fingerprint patterns, including plain whorls, central pocket loop whorls, double loop whorls, and accidental whorls. It also describes how to trace fingerprints and determine inner, outer, or meeting ridge counts.
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Fingerprints are unique and can be used to identify individuals. They are comprised of ridges and valleys that form distinctive patterns classified as loops, whorls, or arches. Fingerprint identification involves comparing ridge characteristics like ending ridges, bifurcations, and dots between two prints and looking for multiple matching characteristics in the same relative positions to determine a match. While some countries have a set number of ridge characteristics required for identification, examiners in the US can use their experience and discretion to decide based on print clarity and uniqueness.
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The document discusses ridge counting and tracing techniques used in fingerprint analysis. Ridge counting involves drawing an imaginary line between a fingerprint's delta and core and counting the number of ridges that cross the line. Ridge tracing follows a single ridge from the left delta to determine if the fingerprint pattern is an inner, meeting, or outer whorl based on the number of intervening ridges between the traced ridge and right delta. Specific rules are provided for accurately applying these methods.
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This document provides information about fingerprint patterns, including definitions and illustrations of loop patterns. It defines the key aspects of a loop pattern, including the sufficient recurve, delta, and ridge count. It illustrates ulnar and radial loop directions and provides examples of ridge counting on loop patterns. The goal is to classify fingerprint patterns by analyzing these aspects.
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Fingerprints have been used for identification since 1882. There are three main fingerprint patterns: loops, whorls, and arches. Loops make up 65% of fingerprints, whorls 30%, and arches 5%. Fingerprints are identified by features called minutiae including bifurcations, endings, and cores. There are two main techniques for fingerprint matching: minutiae-based which matches placement of minutiae points, and correlation-based which can overcome difficulties of minutiae-based matching. Fingerprints are captured using either optical or capacitive sensors and processed using image algorithms. Fingerprint identification has advantages of high accuracy, economy, and standardization but disadvantages of potential intrusiveness and errors from dirty or
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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