milestone_2.ipynb

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  {
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   "cell_type": "markdown",
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   "source": [
    "# **Milestone 2 - Fingerprint Processing**"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This section contains tasks that will help you get familiar with the basics of fingerprint processing.\n",
    "\n",
    "You may add more code and markdown cells as needed"
   ]
  },
  {
   "attachments": {},
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   "source": [
    "## TASK 1\n",
    "* Load the Fingerprint Image `datasets\\task3\\1.tiff`\n",
    "* Display it using `plt.imshow()`\n",
    "* Load the Fingerprint Image `datasets\\task3\\2.tiff`\n",
    "* Display it using `plt.imshow()`"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load the Fingerprint Image `datasets\\task3\\1.tiff`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use opencv\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the Fingerprint image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use matplotlib\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load the Fingerprint Image `datasets\\task3\\2.tiff`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use opencv\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the Second Fingerprint image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use matplotlib\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK 2\n",
    "* Extract the minutia points from the fingerprint images\n",
    "* Display the minutia vectors\n",
    "\n",
    "Hint: Each minutiae vector will have the following format: \n",
    "> `[x, y, theta, type]` where `type` is `0` for ridge ending and `1` for ridge bifurcation"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Extract the minutia vectors from the fingerprint images of `TASK 1` as a list of vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use any library you can find from anywhere (but mention the source here in the notebook as a comment)\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the minutia vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: Each minutiae vector will have the following format: \n",
    "## [x, y, theta, type] where type is 0 for ridge ending and 1 for ridge bifurcation\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TASK 3\n",
    "* Display the minutia vectors on the fingerprint images"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Display the minutia vectors from `TASK 2` on the fingerprint images of `TASK 1`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Hint: use matplotlib and stacked images to show the results\n",
    "## Use red circle for ridge ending and blue square for ridge bifurcation\n",
    "\n"
   ]
  }
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